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AI Tech

AI needs more data- and it can’t get it from the supermarket, or the fridge

AI needs more data

Written by Ritesh Kant on Digilah (Tech Thought Leadership).

Large Language models (abbreviated as LLMs) require enormous amounts of data for their training and retraining. Estimates suggest that Llama 3 was trained on a training set of 11 Trillion words, ChatGPT 4.0 in the meanwhile needed a paltry training set of 5 Trillion words !!

And that’s not all. Next generation models require data sets that are 10X larger… and so on.

While the possibilities with AI are infinite, we are hence heading towards finitism in the datasets that are needed to explore, and capitalize on, these infinite possibilities.

Why is data so important to AI?

Data is the oil for AI models. The reasons are well documented and can be summarized as follows:

  • Pattern Recognition: Machine learning and deep learning models rely on data to recognize and learn patterns, and then make predictions or decisions.

  • Training: Models use data to map inputs to outputs accurately, which is critical for tasks like classification, regression, and clustering.

  • Feature Learning: Data provides the features (variables) that the models need to learn from, identify features that are significant and their relationship to outcomes.

  • Performance Improvement: A large and diverse dataset helps the models learn a wide range of scenarios and variations, improving its ability to generalize.

  • Evaluation and Validation: Validation and test datasets are used to evaluate the models’ performance and ensure that it is not overfitting.

  • Bias Reduction: Adequate and representative data help in reducing biases in AI models.

  • Adaptation and Updating: Continuous data collection allows AI models to be updated and adapted, and hence continue to be relevant and accurate.

What are the current data sources?

If data is the oil for AI models, the current and known oil wells include the following:

  • The open data common crawl foundation: Consolidated from large scale web crawls, contains a data set of 25 trillion words, 55% of which is non-English. It is to be noted that these data sets are not de-duplicated.

  • Web data not captured by common crawl: Search engines such as Google/Bing, would have crawled a lot more data than common crawl. Much of this data would be long tail (restaurant menus for example) and not relevant for AI training. It is estimated that this could be 2 to 5 times more than the common crawl data set.

  • Academic publications and patent publications: Could probably add upto an additional 1 trillion words. It is to be noted however that much of it is PDF and requires OCR to extract text. Some of it is also behind paywalls.

  • Book archives such as Anna’s archive: Approximately 3 trillion words, most of which is PDF and behind paywalls/logins.

Can we do more to get more data?

Can we dig deeper to get more oil. Feasibly we can, however the law of diminishing returns catches up and a lot of what we would get, for example by more sophisticated web crawls will be long tail data which would not be relevant for AI models’ training.

Another solution is synthetic data. Synthetic data is artificially generated data that mimics real-world data, and is created using algorithms, simulations, or generative models. The challenges with synthetic data are the challenges of quality, validation and de-duplication.

There is hence a crying need for more oil/data. The immense possibilities of the AI industry is synergistic with this

Can data be created afresh – and how?

Can oil be created! In this case it very well can be. The treasure trove of oil, nay data , that AI companies are mining has been created by approximately 1% of the global internet populace. Global internet penetration cascaded from the more developed western world to the lesser developed regions over a period, hence the current data sets also suffer from biases, lack of representation and diversity.

The opportunity to create new data is immense. The global internet user base is approximately 5.4 billion. As a representation of scale of inherent knowledge that this global user base contains, a typical human being at the age of 20 has spoken 150 million words.

Estimates would suggest that the total number of words spoken daily, across languages and regions, is 115 trillion. Compensating for long tail irrelevance and duplication by a factor of 60%, we are still left with a useful super set of knowledge of 45-50 trillion words, daily.

This is the oil that feasibly needs to be created and then mined. The solution is to have a more significant portion of the worldwide internet populace to create this oil, nay data.

Incentivizing internet users to create data that AI models can use needs to be a gradual process that can leverage several levers, some of which are as follows:

  1. Financial Incentives in the form of monetary rewards, profit sharing models offering data/content creators a share of the AI models’ profits, data marketplaces where data/content creators can sell their data/content.

  2. Gamification in the form of points systems, leaderboards and badges, challenges and competitions.

  3. Exchange of value in terms of access to subscriptions, tickets, events etal.

  4. Recognition in the form of community building, recognising contributors and contributions, highlighting social impact, collaborative projects whereby contributors can see for themselves the results of their contributions.

  5. Partnerships and collaborations with academia, academic institutions, AI researchers and corporates (both profit and non profit) that are building AI models.

  6. Ensuring privacy of data and transparency and provenance on how the data/content contributions are being used.

This is a long road, but a mix and match of these approaches can create a compelling playing field for internet users to willingly and actively contribute their data. 

If the data/content so created covers diverse scenarios and populations, the downstream models are less likely to suffer from bias, be more representative and diverse, more performant in decisions and more likely to perform fairly across different groups.

The data/content creation road has been traveled however, most notably by social media platforms. The platforms that take up data/content creation for the significant cause of the AI revolution should inculcate some best principles from the social media evolution, encyclopedias such as Wikipedia and Fandom, Ask me anything platforms such as Quora along with web3 principles of incentivization and decentralization. We owe this much to all the possibilities inherent to AI.

References

  1. https://www.educatingsilicon.com/2024/05/09/how-much-llm-training-data-is-there-in-the-limit/#shadow-libraries

  2. https://x.com/mark_cummins?s=11&t=QSarIO-G0B2E9idaCl1HDA

Most asked questions

How many words are required to train present day LLMs?

Estimates suggest that Llama 3 was trained on a training set of 11 Trillion words, ChatGPT 4.0 needed a paltry training set of 5 Trillion words.

What is the average number of words we speak?

A typical human being at the age of 20 has spoken 150 million words.
Estimates suggest that the total number of words spoken daily, across languages and regions, is 115 trillion.

How many people use internet?

The global internet user base is approximately 5.4 billion.

Most searched queries

Large Language Model (LLM)

ChatGPT 4.0

Optical Character Recognition (OCR)

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Categories
Mar Tech AI Tech

Transforming Marketing using Generative AI

marketing and generative AI
Transforming Marketing Through Generative AI: Digilah

Written by Shivani Koul on Digilah (Tech Thought Leadership).

As marketers, we fundamentally learn about the 4 Ps of Marketing: Product, Price, Place, and Promotion. Later, three more Ps were added: People, Process, and Physical evidence. Whatever we do revolves around the customer.

AI will disrupt all the Ps in many ways going forward, and many times there is an argument: will that take jobs? My assumption is that it will take non-productive jobs and give space to marketers to work on something newer, something smarter.

This is the role of technology! To assist humans in making the best possible product, but never forgetting that “human touch”. Marketing is all about creativity, empathy, and understanding human behavior. Successful marketing needs originality and a creative spark only humans can possess.

Having said that, a 2020 Deloitte global survey of early AI adopters showed that three of the top five AI objectives were marketing-oriented: enhancing existing products and services, creating new products and services, and enhancing relationships with customers.

The main job of any marketer is understanding the need of the customer, matching it with the offerings like product and services, and persuading the customer to buy the product and service. 

This looks simply, a 3-step process, but there are a lot of critical steps & information involved in-between where marketers must analyze a lot of data and tweak the marketing strategy accordingly.

Let’s discuss it here with some real-time examples and see how marketers are using AI to support them.

1. Content Marketing –

Currently, AI can help in customizing the marketing content like product information, email writing, blogs, marketing messages, and copywriting. All this can be done using open AI tools available and should work on simple prompts.

With machine learning, this data can be used further for creating sales pitch, cross-selling pitch, customer engagement, last-minute deal or offer by considering different variables like demographics of the target consumer, behavior, demographic, along with deep analysis of the impact of communication. Example AI tools.

2. Data Analytics –

Slicing and dicing of data was done earlier as well, but AI has taken it to the next level where one can get predictive analysis and prompts/suggestions to enhance the content/marketing campaign. 

Customer data like preferences, engagement, status as in which ladder of purchase funnel the customer and CRM, and that gives space to marketers for redefining the market strategy. Example CRM tools.

3. Search Engine Optimization –

This has been a game-changer with real-time examples like Google, Netflix, and other search engines. This will help segmentation of customers and suggest target advertising. This has also helped marketers to leverage cross-functional platforms.

So, if you search for some product on Amazon and open any social media like Instagram or Facebook, you will see recommendations of the same or similar products on that platform as well. By doing this, marketers can enhance the recall value of products or services.

4. Placement of advertisement –

This has been very important: where to post an advertisement for the best ROI. AI has made it easy to target or place advertisements based on consumer data like purchase history, preference, and context of purchase. 

Example Google/YouTube advertisement.

5. E-commerce and Digital Marketing –

AI has been widely used by e-commerce websites and digital marketing to reach out to the right customers, understand their needs and buying patterns, and automate marketing workflows and course correction of marketing efforts which otherwise would have taken a lot of resources. Example any AI-enabled fitness app.

AI can be a game-changer in many ways, but Human decision-making is typically reserved for the most consequential questions, such as whether to continue a campaign or to approve expensive TV ads.

Training your algorithm enough that it should give expected results, training algorithms with correct prompts, and above all, safety and security of data.

Data privacy is going to be of utmost importance for AI. Clear and transparent policies need to be drafted against data security and privacy.

I believe AI is like a child which needs to be trained to become a responsible assistant; hence humans have a greater role as to how they are raising this child to serve mankind. 

As marketers continue to embrace AI technologies, they must strike a balance between innovation and ethical considerations, leveraging AI’s capabilities to enhance customer experiences while upholding trust and transparency.

References:

https://hbr.org/2021/07/how-to-design-an-ai-marketing-strategy

Most asked questions

What are the 4 P’s of marketing?

4 P’s of Marketing: Product, Price, Place, and Promotion. Later, three more P’s were added: People, Process, and Physical evidence. 

What is the key to successful marketing?

Successful marketing needs originality and a creative spark.

How is machine learning serving the marketing industry?

With machine learning, data is used for creating sales pitches, cross-selling pitches, customer engagements, last-minute deals, or offers along with deep analysis of the impact of communication.

Most searched queries

Machine learning

CRM (Customer Relationship Management)

SEO (Search Engine Optimization)

ROI (Return on Investment)

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Med/Health Tech AI Tech

Unleashing Human Potential Through AI

AI and human
Unleashing human potential through AI

Written by Dr Suresh Devnani on Digilah (Tech Thought Leadership).

The Automation Revolution

We stand at the crest of a tidal wave of technological disruption. Artificial intelligence is automating tasks that have consumed our productive hours for decades: data entry, analysis, manufacturing, and creative work. AI systems can now shoulder the repetitive drudgery, freeing our time and consciousness for higher pursuits.

Leading companies have already embraced this automation revolution. At JPMorgan Chase, AI models now handle mundane tasks like data entry and document processing, saving the bank 360,000 hours of work annually. Pharmaceutical giant Novartis uses AI to crunch massive datasets and rapidly identify promising new drug candidates based on molecular interactions. 

Embracing Our Humanity

Rather than viewing AI as a threat, we should welcome it as a liberating force to help us reclaim our humanity. By offloading rote labor to intelligent machines, we can redirect our energy toward the uniquely human capacities that spark innovation, deeper connection, and meaning.

An Abundance of Possibility

AI is gifting us a precious new resource: time. Imagine an extra 20–30 hours per week because tedious tasks were automated by intelligent systems. How might you spend that liberated time?

You could finally nurture creative passions—painting, music, and writing. Be truly present with loved ones on adventures over heartfelt conversations. Prioritize nourishing self-care like exercise, cooking nourishing meals, and mindfulness practices.

AI handles the draining, obligatory labor that consumes so many hours. In doing so, it provides the ultimate modern luxury: abundant time to experience the simple joys that light up our human spirits. We regain the spaciousness to live each day with more intention, purpose, and richness.

The automation revolution doesn’t just optimize productivity. It alchemizes our most limited resource into an abundance of what makes us feel vibrantly alive. How will you spend this reclaimed gift of time?

Catalyzing a New Renaissance

Some fear AI will make us lazy, unskilled, and purposeless. However, unburdened from menial, robotic toil, we’re empowered to cultivate the loftier capacities that only we possess: abstract reasoning, emotional intelligence, and radical ingenuity. AI could catalyze an explosive renaissance across the spheres of human inquiry, creation, and growth.

Consider how Pfizer adopted natural language processing AI to scan millions of genetic databases and academic papers, accelerating the identification of a potential drug target for COVID-19. Augmented by AI’s analytical scale, human scientists and physicians can rapidly unearth insights that dramatically accelerate innovation.

Uplifting Society’s Masses

Most transformative, AI-driven production efficiencies and abundance can economically uplift millions globally from the cycle of empty labor performed solely for survival. By making the essentials of comfortable living affordable for all through advanced AI systems, we expand access to quality education, creative leisure, and self-actualization for humanity’s masses—key drivers of cooperation, societal flourishing, and progress.

Human Skills for the AI Age

But to truly thrive in this era, we must cultivate the vital human skills that intelligent machines cannot yet replicate: creativity, emotional intelligence, adaptability, grit, and a sense of higher purpose.

As “The Happy Doctor,” I’ve spent 28 years helping thousands of professionals across six continents unlock these capacities through science-backed strategies blended with spiritual wisdom and transformative frameworks. Top companies like AC Delco, Continental, Qualcomm, Fitness First, Commonwealth Bank & Trust Company, ITC Hotels, Famous Amos, and Kawasaki covet my guidance to inspire thriving, engaged, innovative cultures amidst the uncertainties of technological upheaval. 

Rekindling Human-Centered Living

Ultimately, the rise of AI beckons a revival of human-centric living. As intelligent systems take on ever more obligatory labor, we gain the freedom to mindfully sculpt our days and energies with greater intention. We rekindle imagination, emotional depth, and purposeful presence—the wellsprings of rich, vibrant, and meaningful living. AI is not a threat, but an invitation to reconnect with the essence of our humanity.

The future made possible by AI is wondrous if we have the wisdom to embrace its liberating possibilities. Let’s harness this powerful technology not just for the sake of automating efficiencies but as a catalyst to unleash the highest, brightest, and most joyful expression of our human potential. 

A testimonial for my work I would like to share: Happiness Hero Sparking: A Global Awakening

One conversation with Suresh and his vibe is infectious—you’ll see why he’s called “The Happy Doctor.” This pioneering thought leader blends spiritual wisdom, science, and transformative methods to awaken human excellence amidst technological change. Suresh has ignited tens of thousands across six continents, proving happiness is an essential skill we can cultivate. His work unlocks creativity, resilience, and boundless potential—key qualities companies need to thrive.

Most asked questions

How is AI helping the banks?

At JPMorgan Chase, AI models now handle mundane tasks like data entry and document processing, saving the bank 360,000 hours of work annually.

How much time does AI help us to save weekly?

AI can help us save 20-30 hours per week and gifts us a beautiful opportunity to upskill ourselves.

What is the purpose of Pfizer?

Pfizer is an American multinational pharmaceutical company. It also took the initiative to produce vaccines against the COVID-19 pandemic.

Who is known as “The Happy Doctor” and why?

Dr. Suresh Devnani is called “The Happy Doctor.” He is a tech thought leader who blends spiritual wisdom, science, and transformative methods to awaken human excellence amidst technological change.

Most searched queries

Novartis

Pfizer

Artificial Intelligence

Emotional Intelligence

Automation revolution

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Categories
AI Tech

Sci-Fi to Reality: The Incredible Journey of Robotics in Enhancing Human Life  🤖❣🎨

robotics

Written by Marcus-parade on Digilah (Tech Thought Leadership).

Imagine a world where YOU are surrounded in as science fiction surrounding with supportive robotics helping you everywhere 🌐. Also, imagine robots that can cook your favorite meal and can perform surgery with super pinpoint accuracy – the future is here, and it will be automated in so many fields 🤖

Let’s dive into some of the latest developments in robotics and take a peek into what the future holds for us 🔍.

Personal assistant robots:

Gone are the days when robots were confined to only factories. Today, personal assistant robots are making their way into our homes and hospitals, helping with tasks ranging from cleaning to even keeping us company 🏠.

For example, robots like “RoboChef,” which can whip up a gourmet meal with the ingredients you have at home. Imagine coming home to the smell of freshly cooked pasta without lifting a finger and being greeted with kind courtesy 🍝.

Medical precise assistants:

In the medical field, robotics technology is nothing short of being revolutionary 🏥. Surgical robots, such as the “DaVinci,” allow doctors to perform very complex surgeries with more precision and smaller cuts ✂️.

This means a far quicker recovery and less risk of infection for patients. AND there’s ongoing research into robotic prosthetics that can be controlled by the mind as just recently successfully tested, promising a new level of independence for amputees 👤.

Industrial giants:

Industrial robots are getting smarter and more flexible 🏭. They’re no longer just about heavy lifting or repetitive tasks. Now, they can adapt to different tasks, learn from their environment with AI, and work safely alongside humans.

This flexibility is revolutionizing manufacturing, making it more efficient and less vulnerable to errors 🛠.

Service robots are not expecting anything in return aside from energy:

Service robots are popping up in various sectors, from hospitality to retail. In some restaurants, robotic waiters nowadays already serve food, offering a unique at least different dining experience 🍽.

Meanwhile, in retail, robots are being used to manage inventory, freeing up human workers for more complex tasks. This not only improves efficiency but also enhances the customer experience in many aspects 🛒.

Our environmental warriors that “risk” their lives:

Robots are also playing a crucial role in environmental conservation 🌍. For instance, underwater drones are being used to monitor ocean health and track marine life 🐠.

On land, robots are engaging to clean up waste and even plant trees. These robotic environmental warriors are essential tools in our fight against climate change 🌱.

Fluid robotics: Shaping the flow of innovation:

A lesser-known yet fascinating frontier in robotics is the development of fluid robots and this kind of reminds me of the movie Terminator, where you have a fluid robot. 

Even though we are not that far, robots are designed to move and operate within liquid environments, not just by swimming or floating but by becoming part of the fluid itself 💧.

Imagine tiny robots that can change their shape to flow through the narrowest of pipes or veins, making them perfect for tasks ranging from repairing underground water pipes without burdensome excavation as well as delivering targeted medicine within our human bodies 💊.

Nano robotics: The tiny titans of technology:

Nano robotics takes the concept of robotics to an incredibly small scale, operating at the level of atoms and molecules! These microscopic robots named nanobots, have the potential to revolutionize many fields, from medicine to materials science 🔬.

For example, in medicine, nanobots will be inserted to attack cancer cells with revolutionary precision, repair damaged tissues far more precisely, or check vital signs from within the body 🧬. 

But also beyond healthcare, nano robotics will enable the developments of new materials with extraordinary properties, such as self-healing surfaces or ultra-lightweight and super-strong structures.

Labor shortages and are often solved by robotics:

In addition, as global labor shortages becoming more relevant, robots are stepping in to fill in the gap, taking on roles that are really boring, dirty, and especially dangerous 🚀!

Robots are being developed for a wide range of tasks, from preparing meals to doing laboratory tests as well as showing their efficiencies and potential.

Looking towards bright next years: A robotics renaissance!

As we look towards 2024, I find the robotics industry is positioned right now for a renaissance with more startups and scaleups really pushing innovations further.

From autonomous material movement and collaborative robots (Cobots) to the integration of AI, IoT, and cloud computing, the next wave of robotics is ready now to be farmore interconnected, intelligent, and efficient than ever before 🌟.

Future Outlook:

Looking ahead, the possibilities are endless 🌟. I believe we’re on the verge of seeing self-repairing robots 🤖 that can diagnose and fix themselves, eliminating huge downtimes.

Another exciting aspect is the development of emotion-sensing robots ❤️, that can respond to human emotions, making them even more integrated into our daily lives.

One can also expect the rise of more sophisticated AI in robotics 🧠🤖, leading to machines that can make decisions and solve problems by themselves. 

This will revolutionize industries like disaster response 🚨, where robots can be sent into dangerous areas to provide help without putting human lives at risk.

In Conclusion:

Robotics is changing our world rapidly, making everyday tasks simpler and more efficient. They’re even addressing big issues like healthcare and environmental protection 🌳. 

As we move forward, robots will become an even bigger part of our lives, opening up exciting possibilities.

Not without reason did 🚀 Elon Musk predict 1 billion humanoid robots by the year 2040. For sure is, they’re already now a reality, not just a future prediction, and they’re here to stay and get better week by week 💡💛.

Most asked questions

What is the purpose of using robots in every sector?

How is nano-robotics helping to combat the cancer?

How are robotic warriors fighting against climate change?

Most searched queries

Humanoid

Nano robotics

Fluid robotics

DaVinci

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AI Tech

Inspiring women everywhere to keep looking up

mentoring

Written by Kanchana Gupta on Digilah (Tech Thought Leadership).

I am Kanchana Gupta, and I play many roles in life. I’m a catalyst for transformation and change management in the corporate world, a multi-dimensional artist. 

Most recently, a digital and tech entrepreneur who is fervently championing higher gender diversity in the workplace through a powerful combination of technology, mentoring, networks, and sheer passion.

My own personal experience of access barriers to mentors and role models and a desire to create changes in this space, encouraged me to start of vLookUp. 

It is an independent global mentoring platform for women.

But how did this journey begin?

Over the years, I’ve observed the challenges women face in the professional sphere. Especially the opportunities to connect with leaders, mentors, and subject matter experts in their respective domains or industries.

This limitation hinders their ability to acquire crucial skills and knowledge, forge valuable connections that could propel their careers. Give women access to exciting new opportunities.

Determined to make a change in this space, I decided to create a digital mentoring platform that democratizes access to mentors. Also removes the conventional barriers to connections, skills, and opportunities such as organisations, school and college network, countries etc.

This vision led to the creation of vLookUp. It is a digital mentoring platform that helps women find suitable mentors across countries, organisations, areas of experience, and domains.

The platform bridges the gap between women who need insight, skills, and opportunities, and pro-diversity mentors and leaders who have the experience and the connections.

As a result, women receive never-before access and knowledge. Mentors and leaders make a tangible difference in a woman’s professional career and overall women talent in the workforce.

My journey as an entrepreneur, with a profound focus on women’s empowerment, has been driven by sheer passion.

Through technology, mentorship, online communities, networks, innovative resources and unwavering dedication, I aim to provide the support and tools necessary for women to thrive in their careers.

About vLookUp and its impact

The journey started with an idea and market research in December 2020, and for the subsequent seven months.

I collaborated closely with both a design team and a technical team to bring to life an automated, digital, AI-driven mentoring platform that was highly efficient and scalable. 

By July 2021, our vision became a reality. The official launch of the app then followed in July 2022.

In the span of two years, the tech platform has rapidly grown into a vibrant community encompassing 177 mentors and 400 mentees, representing 24 different countries and from nearly 300 organizations. 

At any given moment, it supports an impressive 100+ active mentoring engagements.

This dynamic community has collectively facilitated more than 3000 hours of mentoring interactions, and its impact has extended to offering numerous internship and job opportunities to its mentees.

The voluntary network of mentors on the platform is robust and committed to diversity. The technology operates seamlessly, and the experiences and initiatives the brand is fostering are forward-thinking and considerate of the future.

Today the tech platform has transcended its initial identity as an online mentorship platform for women. 

The platform isn’t just about making connections online. 

It’s taking a multi-faceted approach to empower women in the workplace, in educational institutions, and in organisations, serving multiple purposes:

      1. A destination for women in search of knowledge, opportunities, and personal growth.

      1. A resource for pro-diversity companies committed to empowering their female employees to thrive.

      1. A valuable resource for professionals looking to enhance their leadership skills and capabilities.

      1. A partner for organizations striving to make a meaningful societal impact by empowering girls and women to make informed choices in all aspects of their lives.

    We achieve all this by:

        • Leveraging technology: All of the above developments have been rooted from the word go in a strong technology platform and app. The tech platform is custom built from scratch to suit the highly specific needs of mentors and mentees. It incorporates smart algorithms and AI to suggest suitable mentors to mentees. Today the tech platform handles close to 200 mentoring engagements at any point, hosts abundant useful content, and has been the foundation for over 3,000 hours of mentoring.

          • Enabling real time mentoring digitally: A real time platform enables mentees to choose mentors at any point.

            • Empowering women: The platform empowers mentees to choose mentors as per their specific career stage and needs. They can also choose mentors for coaching/mental-wellness related discussions, based on specific needs.

              • Offering a safe space: Being an independent tech platform beyond all traditional barriers, the platform offers a safe space to mentors and mentees where they don’t have to think of organisational constraints.

                • Creating a springboard for students: Students and aspiring leaders, mainly in STEM subjects, are connected with corporate leaders to help them choose the right career path. This lays the foundation for success early in life and creates a strong pipeline of knowledge workers and leaders for the nation.

                  • Developing leadership: Women receiving skills and knowledge are not the only benefactors. The platform also develops passionate mentors and leaders with deep industry experience and a commitment to gender diversity. It empowers them to make a structured contribution to helping women learn and grow – an opportunity they might not easily find in their current schedule and environment. 

                    • Collaborating with organizations: The platform enables organizations to create and scale up bespoke mentoring programmes not only for their women leaders but also mentoring as a tool to develop women talent pool. It has moved beyond just a tech platform by providing mentoring support to educational institutions, thus unlocking greater socio-economic impact.

                  In this space, the brand’s teamed up with Dell Technologies and Nanyang Polytechnic for their ‘Girls in Tech’ mentoring program. 

                  With Olay and Mindtree Consulting for their STEM mentoring program in India. 

                  With Republic Polytechnic, to provide mentoring to their students.

                  These programs have created access to leaders and internship opportunities for many students in STEM. 

                  Our mentors are also working with women at the Unioleo factory in the far corners of Indonesia, to support their needs.

                  Conclusion

                  Through vLookUp and its copyright technology I am trying to do my bit to address a deep-rooted problem that companies alone cannot address. 

                  It’s been quite a journey, especially for someone like me with no prior technology background. I am proud to have developed a digital platform from scratch. Drive its adoption, and see it succeed and gain credibility in such a short span of time.

                  To learn more about vLookup, watch below

                  Most searched questions

                  What is vLookUp?

                  What is digital mentoring?

                  Most searched queries

                  vLookUp

                  Consulting

                  Hello readers! Hope you liked what you read today. Click the like button at the bottom of this page and share insights with your colleagues and friends!

                  For more such amazing thought leadership articles on technology follow Digilah people.

                  Categories
                  AI Tech

                  AI Agent Workforce

                  workforce

                  Written by Brian Ho on Digilah (Tech Thought Leadership).

                  How AI Can Transform Jobs and Enable Agents to Work together with humans

                  In the ever-evolving landscape of the modern workforce, artificial intelligence (AI) is emerging as a transformative force. Within this realm, AI agents are assuming increasingly pivotal roles, revolutionizing industries by automating tasks, enhancing efficiency, and facilitating smarter decision-making. As AI continues to advance, the collaborative synergy of AI agents promises to reshape the workforce as we know it.

                  Understanding AI Agents and the Workforce Transformation

                  An AI agent is not just another piece of software; it is a dynamic program capable of learning and adapting to its surroundings with a singular objective: achieving goals.

                  These agents can automate mundane tasks, craft creative content, and provide comprehensive and insightful responses to complex queries, ultimately making them indispensable in various sectors.

                  The potential of AI agents to transform the workforce is vast and multifaceted. Here are some keyways in which AI agents are reshaping the working landscape:

                  • Automation of Routine Tasks: By taking over repetitive and time-consuming tasks, AI agents free up human workers to focus on more intricate and creative aspects of their jobs.

                  • Enhanced Efficiency: AI agents streamline processes and minimize errors, thereby significantly improving operational efficiency across industries.

                  • Informed Decision-Making: With the ability to analyse vast datasets and identify patterns that often elude human perception, AI agents empower organizations to make more informed decisions.

                  • Augmentation of Human Capabilities: AI agents complement human workers by offering insights and recommendations, elevating the quality of decision-making processes.

                  • Creation of New Jobs and Industries: The emergence of AI agents also leads to the creation of entirely new job categories and industries that were previously unimaginable.

                  Collaborative Potential of AI Agents

                  AI agents are not solitary entities; they can work together seamlessly to achieve common goals. Their collaborative capabilities include:

                  • Task Collaboration: AI agents can collaborate on various tasks, combining their strengths to achieve a shared objective efficiently.

                  • Knowledge Sharing: These agents can exchange information and knowledge to improve their performance, effectively learning from one another.

                  • Action Coordination: AI agents can coordinate their actions to prevent conflicts and ensure all agents are working cohesively towards the same overarching goal. 

                  Introducing Multi-Agent Frameworks: MetaGPT and ChatDev

                  In the realm of collaborative AI agents, two standout frameworks take the spotlight: MetaGPT and ChatDev.

                  • MetaGPT: A formidable large language model, MetaGPT boasts the ability to generate text, perform language translations, create diverse types of creative content, and offer informative responses to questions. Additionally, it serves as an excellent tool for training AI agents for specific tasks.

                  • ChatDev: This versatile platform empowers users to create and manage AI agents, providing an array of essential tools and resources. Features include a natural language processing engine, a comprehensive knowledge base, and a dynamic dialog engine.

                  Real-World Examples of AI Agent Workforces

                  The integration of AI agent workforces into various industries is already evident, with applications including:

                  • Customer Service: AI agents are deployed in industries such as banking, insurance, and retail, offering 24/7 support by answering customer queries, resolving issues, and providing valuable assistance.

                  • Sales: Sales teams benefit from AI agents that generate leads, qualify prospects, schedule appointments, and provide customer support, ultimately boosting sales effectiveness.

                  • Marketing: AI agents are invaluable in creating and managing marketing campaigns, generating content, audience targeting, and tracking campaign performance for optimization.
                  • Software Development: In the realm of software development, AI agents automate tasks like code generation, testing, and deployment while aiding developers in decision-making processes.

                  • Manufacturing: AI agents play pivotal roles in the manufacturing sector, automating quality control checks, production planning, and supply chain optimization.

                  A New Era of Workforce Transformation

                  AI agent workforces are poised to revolutionize the way we work, redefining efficiency, productivity, and profitability across industries. The transformative potential of AI agents is boundless, creating novel opportunities and optimizing existing processes.

                  As we continue to explore the possibilities of these collaborative AI agents, we enter a new era where human and artificial intelligence work hand in hand, forging a future defined by innovation and efficiency.

                  Examples of AI Agents Working Together

                  AI agents working in tandem open the door to countless possibilities. Here are some illustrative scenarios:

                  • Onboarding Automation: An AI agent can guide new employees through onboarding processes, acquainting them with company policies, answering questions, and ensuring a seamless transition into their roles.

                  • Continuous Customer Support: AI agents can provide round-the-clock customer service support, offering assistance and resolving issues promptly.

                  • Sales Team Synergy: AI agents can identify potential leads, qualify them, and seamlessly schedule appointments, augmenting the efforts of sales teams.

                  • Marketing Campaign Management: Collaborative AI agents can generate content, target audiences, and simultaneously monitor multiple marketing campaigns for performance optimization.
                  • Software Development Dream Team: In software development, AI agents can collaborate on code generation, testing, and deployment, ensuring smoother project execution.

                  • Manufacturing Process Optimization: AI agents working together can orchestrate quality control checks, plan production schedules, and fine-tune supply chain logistics, enhancing manufacturing efficiency.

                  The possibilities for AI agents working collaboratively are virtually limitless, ushering in an era of unparalleled productivity and innovation in the workforce.

                  Most searched questions

                  What is MetaGPT?

                  What is ChatDev?

                  Most searched queries

                  MetaGPT

                  ChatDev

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                  Categories
                  HR Tech AI Tech

                  From Science Fiction to Talent Reality – How Tech, AI, and Cutting Edge Recruitment Collide

                  recruitment

                  Written by Dipansh Bhatt on Digilah (Tech Thought Leadership)

                  The advent of technology and artificial intelligence (AI) has revolutionized numerous industries, and recruitment is no exception.

                   

                  With the help of advanced tools and algorithms, recruiters have found new ways to streamline their processes and identify the best-fit candidates efficiently.

                  However, as with any technological advancement, there are potential pitfalls to consider. 

                  In this thought leadership article, we will explore how tech and AI have made life easier for recruiters, while also discussing the precautions they need to take.

                  We’ll walkthrough the importance of Talent Intelligence (TI) and how it can shape the future of recruitment.

                  Streamlining Recruitment Processes:

                  Technology and AI have significantly enhanced the recruitment process, one are the days of manually sifting through stacks of resumes and conducting countless interviews.

                  AI-powered algorithms can now analyze large volumes of applicant data and shortlist candidates who possess the desired qualifications and skills.

                  Automated resume screening tools have emerged as a game-changer, allowing recruiters to filter applications based on specific keywords and qualifications.

                  This helps save valuable time and resources, allowing recruiters to focus on engaging with high-potential candidates. 

                  Additionally, AI-powered chatbots and virtual assistants have simplified candidate interactions by providing quick responses and handling basic queries, enhancing the overall candidate experience.

                  However, it is essential for recruiters to approach these advancements with caution as discussed below. Engagement remains just as important.

                   

                  Potential Pitfalls and Precautions:

                  While technology and AI have undeniable benefits, there are potential risks that recruiters must be mindful of. One significant concern is the potential for algorithmic bias.

                  Some algorithms are trained using historical data, which may inadvertently incorporate biased hiring practices or prejudices. This can result in unfair outcomes, perpetuating existing inequalities.

                  Recruiters must be vigilant in reviewing and auditing the data used to train algorithms to prevent bias and ensure fair and inclusive hiring practices.

                  Another challenge is the loss of personal connection, undermining the human touch. While automation speeds up the process, it can also lead to a lack of human interaction, making candidates feel detached and unimportant.

                  Recruiters need to strike a balance by incorporating personalized communication and leveraging technology as a tool to enhance, not replace, human interaction.

                  Maintaining data privacy and security is yet another critical concern. With the vast amounts of personal and sensitive information being collected during the recruitment process, it is essential to implement robust data protection measures.

                  Recruiters must ensure compliance with relevant data protection regulations and invest in secure systems to safeguard applicant data.

                  Solutions and the Way Forward:

                  To address these potential pitfalls, recruiters should prioritize ethical AI practices. This involves regularly auditing algorithms for bias, fostering diversity within recruitment teams, and involving human oversight in decision-making processes.

                  Transparency is key, and candidates should be informed about the use of AI and the criteria it evaluates.

                  Recruiters should also invest in training and upskilling their teams to effectively utilize AI tools and strike the right balance between automation and human touch.

                  By combining the efficiency of AI with the empathetic skills of recruiters, a powerful synergy can be achieved, ultimately enhancing the candidate experience.

                  Boiled down to its core, recruitment is very similar to a sales function, selling the job to candidates and selling candidates to your hiring managers.

                  An example of something I’ve done myself to utilise AI in sales – when facing writer’s block or a lack of great idea, tools like ChatGPT or Copy.ai work well to help structure your engagement.

                  Not to say you should copy and paste these templates but rather use them as a skeleton for your own customized correspondence.

                   We’ve seen a decrease in time taken to follow up and at the same time, a decrease in response times as well!

                  When utilized correctly, talent intelligence emerges as the way forward. It involves harnessing the power of data and AI to gain insights into candidate behaviour, preferences, and skillsets.

                  By leveraging talent intelligence, recruiters can make more informed decisions, tailor their recruitment strategies, and build stronger talent pipelines.

                  Technology and AI have undoubtedly made recruitment processes more efficient, enabling recruiters to focus on higher-value tasks. 

                  However, caution is necessary to mitigate potential pitfalls such as bias and loss of personal connection.

                  By prioritizing ethical practices and embracing talent intelligence, recruiters can leverage technology to create a more inclusive and effective recruitment landscape.

                  Solutions like Vita’s Talent Intelligence CRM do exactly this.

                  As a quick introduction, Vita’s TI helps reactivate past applicants for current hiring, identifying relevant talent from within your database and guiding engagement, within seconds. 

                  Not only does this streamline sourcing, reducing candidate acquisition costs, this can also be applied to screening active applicants!

                  Larger enterprises get hundreds of applicants per role and it’s a hassle narrowing this list down and sieving out irrelevant profiles.

                  Learn how to cross-reference candidates across positions as well to ensure candidates are matched to roles that suit them best, moving away from a candidate to job match but more of a candidate to company match! Get in touch to explore or check us out!

                  Most asked questions

                  Can AI be used to recruit humans?

                  What is an algorithm?

                  Most asked queries

                  Algorithm

                  ChatGPT

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                  Categories
                  AI Tech

                  The Magic Tricks of our Common Future! Quantum Computing

                  quantum computing

                  Written by Marcus Parade on Digilah (Tech Thought Leadership)

                  Picture this: You’re a magician on a stage. You place a rabbit in a hat, and suddenly, with a flick of your hand, there’s not 1 rabbit, but 2! Now, imagine if you could do that with your computer – making it not only do one calculation, but millions at the same time. Welcome to the mystical world of quantum computing (QC)! 🐇⚡🐇

                  The Quantum Mystery:

                  In our everyday world, things seem pretty straightforward. Your cup of coffee sits on your desk and not floating in the air, right? Things exist in one place at a time, and we’re used to that. But in the quantum reality, things get a bit… wacky. Here, particles can exist in multiple places at the same time!

                  How is that even possible, you may ask? Well, buckle up, because we’re about to dive together into the crazy world of quantum physics!

                  🎪 The Deep Atomic Circus – A Magician’s Best Friend:

                  Quantum mechanics deals with the universe’s tiniest particles: Atoms, electrons, and even quarks. In this microscopic circus, the rules of the game are different from the world we know. Just like how a regular computer uses bits (either a 0 or a 1) to perform calculations, a quantum computer uses quantum bits.

                  A qubit can be a 0, a 1, or both at the same time! This peculiar principle known as superposition.

                  Imagine you’re playing a game of hide and seek. In our regular world, you’re either hiding or seeking. But in the quantum world, you could be both hiding and seeking at the same time! That’s superposition for you. It’s as if the quantum particles are the ultimate multi-taskers!

                  I know it is still confusing – let me give you one more example

                  🔴 Imagine we have a coin. When you flip it, it can either land heads up or tails up. But while it’s in the air, before you see the result, it can be thought of as being both heads and tails at the same time, because we don’t know the outcome until it lands.

                  Superposition in quantum physics is somewhat like that, but much more complex. It’s the idea that a particle, like an electron or a photon, can exist in multiple states at once.

                  For example, an electron in a quantum superposition could be both spinning clockwise and counter clockwise at the same time, or a photon could be in multiple places at once.

                  💡 Some QC already today claim to be a trillion times faster than a standard supercomputer of today. This means in turn a QC can do calculations in less than 1 minute for which our supercomputer needs 10,000 years to finish it.

                  Quantum Entanglement: The Ultimate Magic Trick

                  Another trick up the QC’s magic sleeve is a phenomenon called entanglement. If two quantum particles become entangled, they become like a pair of magical twins. Change the state of one, and the other changes automatically, no matter how far apart they are!

                  Imagine if you had a pair of entangled dice. You roll one in New York and the other in London. No matter what, they always show the same number. That’s quantum entanglement, and it’s one of the key ingredients in the QC “soup”. 🍜

                  🌤🌻 Our Quantum Leap into our Future:

                  QC is still in its early stages, but the possibilities are and will be simply amazing.

                  When the software of artificial intelligence and the hardware of quantum computers become best friends eventually, one scientist said: “Watch out!”. While this can be interpreted in at least two ways, let’s be curious and investigate the positive aspects, while at the same time watching out.

                  🐇 🎩 🐇 So, the next time you see a magician pull 1 rabbit out of a hat and then 2, remember that in the world of QC, doing many amazing things at once is just the new normal. Welcome to the future of computers, where everything seems like magic with endless possibilities!

                  If you find this article somewhat inspiring, please place a like or a  comment.

                  Love, Marcus

                  Most asked questions

                  What is quantum computing?

                  What is superposition?

                  Most asked queries

                  Quantum physics

                  Superposition

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                  Categories
                  AI Tech

                  Do you believe that AI will eventually replace humans altogether?

                  AI will eventually replace humans altogether????

                  Written by : Shweta (SOHAM) R on Digilah (Tech Thought Leadership)

                  Let’s try to understand the term first:

                  💡What Is Artificial Intelligence?

                  Artificial Intelligence is a new and exciting field that is quickly gaining popularity. It is a method of making a computer, a computer-controlled robot, or a software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. 

                  It can be considered a tool to assist us to rise above our circumstances.

                  Before getting threatened and believing in speculations take a moment and register this, AI is a replica we have created to make our lives better.

                  It is made of code not cells!

                  Having said that, we must strive for creative sense because it’s just the beginning, we have only touched the surface of what Artificial Intelligence can accomplish. Our thinking capabilities and problem solving abilities are endless.

                  💡The four A.I. types are:

                  🧩Reactive Machines

                  🧩Limited Memory

                  🧩Theory of Mind(Exits only in theory)

                  🧩Self Aware(Exits only in theory)

                  We are currently well past the first type and actively perfecting the second. At the moment, the third and fourth types exist only in theory. 

                  Most of the recent or past developments are data driven. I am looking forward to the theory of mind and self care developments because their AI will have to deal with thoughts and emotions.

                  How on earth a machine is going to handle that?? 

                  According to Forbes AI is expected to see an annual growth rate of 37.3% from 2023 to 2030. AI continues to revolutionize various industries, with an expected annual growth rate of 37.3% between 2023 and 2030, as reported by Grand View Research. This rapid growth emphasizes the increasing impact of AI technologies in the coming years.

                  A quarter of companies are adopting AI because of labor shortages as labor shortages become a pressing concern, 25% of companies are turning to AI adoption to address this issue, according to an IBM report. AI helps businesses optimize operations and compensate for the lack of human resources.

                  Software engineers and data engineers are being recruited for AI support

                  As AI becomes more integrated into businesses, there is a growing demand for AI support roles. In 2022, 39% of businesses reported hiring software engineers, and 35% hired data engineers for AI-related positions, according to a McKinsey report.

                  97% of business owners believe ChatGPT will help their business

                  According to Forbes Advisor, a staggering 97% of business owners believe that ChatGPT will benefit their businesses. One in three businesses plan to use ChatGPT to create website content, while 44% aim to generate content in multiple languages. More than half believe AI will improve written content. 

                  Over half of respondents, 54%, believe that AI can improve written content, suggesting that AI-driven solutions such as ChatGPT have the potential to enhance text quality, creativity and efficiency in various content creation contexts.

                  💡What can we do to adapt the process?

                  In the emergence of AI technology, we may need to accept and reassess ourselves. We will need to be equipped skills-wise and knowledge-wise on how to handle and prosper in a world that is continuously changing and improving as days move on.

                  Conclusively, I will say it is important to get the hang of AI but again try to acquire a balance while you are turning into a robot with AI advancements to keep your natural stupidity alive to be creative. YES, AI is the present, but will it be the future?!

                  That’s a question mark for me, I believe quantum computing will take over.

                  Most asked questions

                  What are the pros and cons of AI?

                   Can AI take over the world?

                   

                  Most searched queries

                  Generative AI 

                  Machine learning

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                  AI Tech

                  Redefining Computing, The Quantum Revolution – A New Era Changing Our World

                  Written by Marcus Parade on Digilah (Tech Thought Leadership)

                  Envision yourself reading a book in a library in London while simultaneously sipping coffee at a Parisian café. Unbelievable, right? But with the marvels of quantum computing (QC), this simultaneous presence becomes a metaphorical reality!

                  Our current computers, in comparison, are like paddleboats trying to keep up with supersonic jets. Welcome to the future of computing, where impossibilities become possibilities.

                  Regular computers use “bits” like tiny on/off switches to do math. “On” is 1 and “off” is 0. By using many bits of these, our computer can solve many challenges.

                  QC are COMPLETELY different. Instead of bits, it uses qubits. It’s like comparing a candle to a light bulb – similar goals, but yet very very different.

                  This is a quantum computer (QC). Just like many inventions we’ve seen in our life before, these machines will get smaller and smaller over time. Also, there are already many different ways to build a quantum computer today.

                  Qubits are unique because they can be both on and off simultaneously. This strange thing happens because of quantum physics, which is the science that explains how super small things like atoms interact together.

                  😲 So, a qubit can be a 1, a 0, or both at the same time! This amazing state is named “Superposition” 😉💘. When we have many qubits, they can perform lots of math tasks all at once.

                  ⚡ A QC is today about 158 million times faster than our most sophisticated supercomputer. Some have claimed to have reached even over about a trillion (1,000,158,000,000) times being faster.

                  Its computing is so powerful, that it could do calculations in at least just 4 minutes what it would take our supercomputer 10,000 years to accomplish.

                  Nobody in our world knows why these atomic realities exist, but we know that they exist. 💦 Similar as with water. We don’t know why water really exists, BUT we can use it to our advantage and insights … 🌞

                  So, as I think you and me are doing quite fine with using standard computers, what can these QC be used for our common good?

                  🔥 Artificial Intelligence (AI): Many scientists believe that quantum computing will be used to accelerate machine learning – a major component of AI.

                  💊 Drug Discovery: QC will help the pharma industry to discover new drugs or analyse different combinations of molecules interacting for drug effectiveness. Finding the best vaccines could be much much faster.

                  💡 Finding the Best Answers: Sometimes, we face a challenge with so many possible solutions that it’s hard to find the best one. Such as with logistics, banking and so many more challenges we all face, QC can help us find the best solution much quicker.

                  🌞 Forecasting: Weather and climate change predictions will become more precise and perhaps even the stock market could become more predictable 😁📈

                  🕵 Secret Codes: QC will be really good at solving tough codes or making new ones that are almost impossible to crack.

                  Much like art 🎨, QC invites us to see the world in a whole new light, offering completely new perspectives. It will create new interpretations of our reality and finding new wisdoms for a better sustainable world. 

                  🚀 Think of QC as a fleet of futuristic rocket ships. Companies and countries are in a race to have the fastest one. But having the fastest rocket shouldn’t be the only goal.

                  We need to pilot these rockets with care, respect the space laws of ethics, share insights and aim for a galaxy where we all thrive, and our planet is preserved.

                  So, rather than just trying to out-zoom each other in the space race, let’s exchange star maps, share cosmic insights, and brainstorm better pathways to the stars.

                  By doing so, we can ensure a better journey for all humankind in this vast universe of possibilities.

                  💛🌹🌞

                  𝐈 𝐡𝐨𝐩𝐞 𝐯𝐞𝐫𝐲 much you find my article somewhat inspiring – if – you would make me certainly happy to place a Like 👍 or so? 🌞

                  Love, Marcus

                  Most asked questions

                  What is quantum computing?

                  Will quantum computers be faster than supercomputers?

                  Most asked queries

                  Quantum

                  Supercomputer

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                  AI Tech

                  AI, Bias and Society

                  Written by Aman Bandvi on Digilah (Tech Thought Leadership)

                  Artificial intelligence (AI) is rapidly transforming the way we live, work, and interact with each other. As AI becomes more pervasive, it has the potential to influence collective thoughts and actions, shaping the future of our society. However, as with any technology, AI is not immune to bias. Biases in AI systems can skew insights and form a base for ill-conceived actions, ultimately impacting our society in negative ways.

                  According to Cathy O’Neil, mathematician and author of “Weapons of Math Destruction,” “Algorithms are opinions embedded in code.” This means that the way AI systems are developed and the data they are trained on can reflect the biases and assumptions of their creators. As a result, AI systems can perpetuate biases and discrimination, often unintentionally.

                  As AI systems become more pervasive, they can reinforce existing biases and stereotypes, leading to a self-perpetuating cycle. Joy Buolamwini, computer scientist and founder of the Algorithmic Justice League, notes that “We are coding the future and we have the opportunity to create a world that is fair, equitable, and just. But, if we don’t take proactive steps, AI has the potential to exacerbate and perpetuate inequalities.”

                  In society, biases in AI systems can result in discriminatory practices in areas such as employment, criminal justice, and healthcare. For example, AI algorithms used in hiring processes have been shown to discriminate against certain groups, such as women and people of color. Similarly, AI algorithms used in the criminal justice system have been shown to be biased against people of color, resulting in harsher sentences and wrongful convictions.

                  The concerns of biased AI systems are not just theoretical but are already impacting our society in real ways.

                  The increasing use of AI in decision-making processes, from hiring to loan approvals, means that biases in AI systems can have real-world consequences for individuals and communities.

                  AI bias can have a significant impact on sensitive societies in developing nations. In many cases, these societies may be vulnerable to discrimination and marginalization due to factors such as race, ethnicity, religion, or caste. If AI systems are not developed with sensitivity to these factors, they may perpetuate biases and reinforce existing inequalities. For example, in healthcare, biased AI systems may result in certain communities receiving inadequate or inferior care, leading to negative health outcomes. Similarly, in employment and education, biased AI systems may limit opportunities for certain groups, perpetuating cycles of poverty and marginalization. It’s important that AI developers and policymakers in developing nations prioritize ethical AI development and work to ensure that AI systems do not perpetuate discrimination or exacerbate existing inequalities.

                  It’s crucial that we take proactive steps to address AI bias. This includes auditing AI systems for potential biases, increasing diversity and representation in AI development teams, and creating transparency in AI systems. As Timnit Gebru, computer scientist and AI ethics researcher, notes, “If we want AI to be ethical, it has to be transparent, and it has to be accountable.”

                  As individuals, we can also play a role in promoting ethical AI development. By being discerning and alert, we can identify potential biases in AI systems and hold developers accountable. As Buolamwini notes, “We need to ask questions about the data and the algorithms that underpin AI systems, and we need to hold those who create these systems accountable for their impact.”

                  AI has the potential to be a transformative force for good in our society, but only if we take proactive steps to ensure that it is developed and used ethically. By removing biases, auditing AI systems, and being discerning and alert as individuals, we can help create a more equitable and just future. As Gebru notes, “AI is not neutral, it’s not unbiased. It’s the responsibility of those who create these systems to ensure that they are developed and used ethically.”

                  There are several steps that citizens can take to address AI bias during their online interactions. One of the most important steps is to be aware of the potential for bias in AI systems and to question the information presented to them. Citizens can also actively seek out diverse sources of information and engage with a variety of perspectives to avoid the echo chamber effect. Additionally, citizens can report instances of biased AI to relevant authorities or advocacy groups to raise awareness and promote change. Finally, citizens can advocate for greater transparency and accountability in AI development and use, pushing for ethical standards to be enforced to prevent biases and discrimination. By taking these steps, citizens can play an important role in promoting fairness and equity in AI systems and helping to build a more just and equitable society.

                  AI bias poses a significant challenge for societies worldwide, particularly in the developing world. Addressing these biases is a complex task that requires the involvement of stakeholders from diverse backgrounds, including policymakers, developers, and citizens. Only through collaborative efforts can we build AI systems that are ethical, unbiased, and truly serve the needs of all members of society.

                  Aman Bandvi

                  Co-founder Ais Possible

                  India Blockchain Alliance

                  Emerging Technology Council

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                  Most asked questions

                  Can AI systems be biased?

                  How to distinguish if an AI system is biased or not?

                   

                  Categories
                  Web 3.0 Tech AI Tech

                  Collaboration and Web3

                   

                  Written by Aman Bandvi on Digilah (Tech Thought Leadership)

                  “Alone we can do so little, together we can do so much.” – Helen Keller

                  Helen Keller emphasizes the importance of collaboration in achieving great things. Collaboration has been an integral part of human society since the beginning of time. We collaborate to achieve a common goal, to learn from each other, and to make progress. In the digital age, collaboration has taken on a new meaning with the advent of Web3.

                  Web3 is the next evolution of the internet, where decentralization, transparency, and community-driven efforts are the norm. Web3 technologies, such as blockchain and smart contracts, have the potential to reshape how we collaborate and create value. In this article, we’ll explore how collaboration and Web3 are interconnected and how this synergy is shaping the future.

                  Decentralized Collaboration

                  One of the most significant benefits of Web3 is its decentralized nature. Traditional collaboration relies on centralized entities to facilitate communication, project management, and decision-making. However, Web3 offers a new paradigm where collaboration can happen in a decentralized manner, without the need for intermediaries.

                  For example, decentralized autonomous organizations (DAOs) are emerging as a new form of collaboration. DAOs are decentralized entities that operate on the blockchain, where members can propose, vote, and execute decisions. DAOs are self-governed, transparent, and open to anyone who wants to join. This new form of collaboration enables community driven efforts that are not possible in traditional organizations.

                  Trust and Transparency

                  Another benefit of Web3 is trust and  transparency. Collaboration often requires trust among members, which can be challenging to establish in traditional settings. However, Web3 technologies enable trust through cryptography, consensus mechanisms, and smart contracts.

                  For example, smart contracts are self-executing contracts that are programmed to execute automatically when specific conditions are met. Smart contracts eliminate the need for intermediaries and provide transparency and trust between parties. This level of trust and transparency can enable more efficient and effective collaboration.

                  Value Creation

                  Collaboration and Web3 can create new forms of value. In Web3, value can be created through decentralized applications (dApps) and decentralized finance (DeFi) protocols. dApps enable collaboration between developers, users, and other stakeholders to create new services and products. DeFi protocols enable collaboration between different financial services and create new financial products that are accessible to anyone.

                  Web3 also enables new forms of incentivization through tokens and cryptocurrencies. These tokens can be used to incentivize collaboration and reward contributors for their efforts. This Aman Bandvi, v1 March 2023 new form of value creation can create more inclusive and equitable collaboration where everyone can participate and benefit.

                  Case: Collaboration, Web3 and impact on the last-mile

                  Collaboration and Web3 have the potential to create a significant impact on the last mile and offer value to government stakeholders. Web3’s decentralized nature, transparency, and community-driven efforts can provide an efficient and effective way to collaborate and create value for the last mile.

                  The last mile is the final leg of the supply chain that delivers goods and services to consumers in remote or underdeveloped areas. Collaborative efforts can help bridge the gap and provide essential services to these areas. For example, DAOs can enable community-driven efforts that address local needs, such as water supply, healthcare, or education. These efforts can create new value for the last mile and improve the quality of life for people in these areas.

                  Government stakeholders can also benefit from Web3’s collaborative efforts. Web3 technologies can provide transparency, accountability, and trust in government operations. For example, smart contracts can automate government processes, eliminate corruption, and provide transparency in government procurement. Additionally, DeFi protocols can provide a more inclusive and accessible financial system that enables government stakeholders to access financial services and create new financial products that serve their constituents better.

                  Case: Web3, collaboration and education sector

                  “Collaboration allows teachers to capture each other’s fund of collective intelligence.” – Mike Schmoker

                  One example of how Web3 and collaboration have impacted education is the Open Learning Initiative (OLI) at Carnegie Mellon University. OLI is a Web3-based learning platform that leverages blockchain technology and smart contracts to create a more decentralized and community-driven approach to education. The platform enables students to learn at their own pace, with personalized learning paths that are tailored to their individual needs and preferences.

                  OLI uses Web3’s token economy to incentivize collaboration and participation. Students are rewarded with tokens for their contributions to the platform, such as completing exercises or providing feedback on course content. These tokens can be exchanged for rewards such as access to premium content or discounts on future courses.

                  OLI also leverages Web3’s decentralized governance model to give students a say in the direction of the platform. The platform is governed by a DAO that is owned and controlled by its members, giving students a voice in decision-making and ensuring that the platform is always evolving to meet their needs.

                  The impact of OLI has been significant, with students reporting higher levels of engagement and satisfaction with the platform compared to traditional learning methods. By leveraging Web3’s collaboration and decentralized governance models, OLI has created a more personalized and engaging learning experience that is tailored to the needs of individual learners. This has the potential to revolutionize the education sector by providing a more equitable, inclusive, and effective approach to learning that is accessible to all

                  Summary

                  Collaboration and Web3 are transforming how we work and create value. Web3’s decentralized nature, trust and transparency, and value creation potential enable new forms of collaboration that were not possible before. This new paradigm offers exciting opportunities for innovation and progress. As we continue to explore the potential of Web3, it’s clear that collaboration will be at the heart of its success.

                  Aman Bandvi

                  Co-founder Ais Possible

                  India Blockchain Alliance

                  Emerging Technology Council

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                  Most searched questions

                  What is the impact of web3 on internet?

                  Can trust and transparency completely achieved in web3?

                  Most searched queries

                  Collaboration

                  Web3

                  Categories
                  AI Tech Sustainability Tech

                  From Dirt to Dish: Rethinking Food Production and Consumption 🍽🔥

                  From Dirt to Dish: Rethinking Food Production and Consumption

                  Written by Marcus Parade on Digilah (Tech Thought Leadership)

                  𝐋𝐞𝐭 𝐮𝐬 𝐢𝐦𝐚𝐠𝐢𝐧𝐞 𝐰𝐞 have over 8 billion gorilla’s 🦍🦍 living on our planet – would you say we have an overpopulation of gorillas?

                  As I find overpopulation very visible on our planet, the question arises, how can we feed all our people more sustainable, if our population worldwide is estimated by the UNO to be around 10 billion by the year 2050?

                  𝐃𝐞𝐟𝐨𝐫𝐞𝐬𝐭𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐟𝐨𝐨𝐝:

                  𝐈 𝐰𝐚𝐬 𝐰𝐚𝐥𝐤𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐚 dear 𝐟𝐫𝐢𝐞𝐧𝐝 strolling through endless acres of golden cornfields stretching as far as the eye can see 🌽🌽

                  He said: “Oh Marcus, it feels so nice to be outside here in lovely nature?!”

                  I also love walking along golden cornfields and yet the fields feel to me only partly being in nature. Putting it baldly, we were also walking in simple production fields for farming products. We didn’t see animals nor insects.

                  🌲🌴 𝐃𝐞𝐟𝐨𝐫𝐞𝐬𝐭𝐚𝐭𝐢𝐨𝐧 𝐡𝐚𝐬 𝐛𝐞𝐞𝐧 going on steadily since the last 10.000 years and an end is not in sight. The crazy race for more farmland, driven by climate change and an ever-growing population, is a ticking time bomb that is likely to trigger ecological collapse on a global scale.

                  1st. circle is from 10.000 years ago. 2nd. circle from 300 years ago. 3rd. circle from 5 years ago.

                  The question is, how do we feed all people, as further deforestation for more farmlands can in my opinion not be the solution.

                  In turn, around 1/3 of all food produced for human consumption in the world is lost or wasted every year. Where does it all go?

                  It is lost during production or wasted at the consumer level. At the same time around 10 % of our world population are starving.

                  𝐖𝐡𝐚𝐭 𝐜𝐚𝐧 𝐰𝐞 𝐝𝐨 𝐛𝐞𝐭𝐭𝐞𝐫?

                  We can change our consumer behaviour, as the production such as for meat needs 𝐄𝐍𝐎𝐑𝐌𝐎𝐔𝐒 amounts of more energy, water, space as well as emissions into our atmosphere. AND, less than only 20% of our worldwide farmlands are used for the direct consumption by us humans.

                  A staggering 80% of our planet’s farmland is devoted to livestock feed, biofuels, and other non-food crops, leaving precious little for direct human consumption.

                  𝐖𝐞 𝐧𝐞𝐞𝐝 𝐛𝐞𝐭𝐭𝐞𝐫 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐢𝐞𝐬 𝐢𝐧 𝐨𝐮𝐫 𝐟𝐨𝐨𝐝 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐚𝐭 𝐚𝐥𝐥 𝐥𝐞𝐯𝐞𝐥𝐬.

                  New agricultural technologies can be game changers such as:

                  1.💦💧 More precise watering solutions directly reaching the roots

                  2. 🚜🛰 Better efficient machines with more precision farming

                  3. 🌱☣ Biotechnology with genetic modification of plants to protect them better and produce more. 𝐈𝐧 𝐚𝐝𝐝𝐢𝐭𝐢𝐨𝐧 bacteria can be created producing nutrients like proteins.

                  4. 💡🎲 Use of AI (artificial intelligence):

                  AI-powered 𝐝𝐫𝐨𝐧𝐞𝐬 𝐚𝐧𝐝 𝐫𝐨𝐛𝐨𝐭𝐬 🤖 𝐜𝐚𝐧 𝐛𝐞 your farm’s new best friends – they collect real-time data on crop yields, plant health, and soil moisture levels. It’s like having a personal assistant who knows everything about your plants.

                  Self-driving tractors 🚜 and drones can be equipped with 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐬𝐞𝐧𝐬𝐨𝐫𝐬 𝐭𝐨 optimize crop planting, fertilizing, and harvesting. With their precision and efficiency, they can help reduce labour costs and increase productivity.

                  AI can be like the ultimate 𝐬𝐮𝐩𝐩𝐥𝐲 𝐜𝐡𝐚𝐢𝐧 𝐝𝐞𝐭𝐞𝐜𝐭𝐢𝐯𝐞 🕵. It can analyse all data from the very beginning up to table to help optimize logistics and reduce waste. It’s like having a personal assistant who knows everything about your plants and how they travel to us.

                  When it comes to crop monitoring, AI has a 𝐞𝐚𝐠𝐥𝐞 𝐞𝐲𝐞 👁👁 that even most farmers can’t beat.. AI peering deep into the heart 💚 of crops to detect even the slightest signs of disease or pests, empowering farmers to take proactive measures and safeguard their precious yields.

                  Around 70% of our freshwater is frozen, around 29% is groundwater and the rest is surface water. Source of chart: Netafim

                  𝐀𝐧𝐝 𝐰𝐢𝐥𝐥 𝐭𝐡𝐢𝐬 𝐛𝐞 𝐞𝐧𝐨𝐮𝐠𝐡?

                  Improving the production of food on our planet Earth 🌏 is a complex issue that involves various stakeholders including farmers, governments, researchers, and consumers.

                  While overpopulation remains one of our main challenges is the production of our food a central challenges for our common future of our climate and us humans.

                  Let’s embrace our future and change for better sustainability and life. 💛🌹🌞

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                  Categories
                  Art Tech AI Tech

                  Computers can now create art! But is it the same as human creations? 

                  Computers can now create art! But is it the same as human creations

                  Written by Science Centre Singapore on Digilah (Tech Thought Leadership)

                  For those of us mere mortals, aka not art inclined, we may think of art as the sole bastion of talented creative masters. These individuals epitomise the very best of human creativity. 

                  On the fundamental level, art is really not just limited to the masters, everyone of us can indulge in a spot of artistic creativity.

                  We’ve been using art as an intrinsic way of expressing ourselves; our emotions, and our knowledge to other people.

                  If we think of art in this way, it can be seen as a form of communication that is unique to us humans. However, recent events have shown that Artificial Intelligence (A.I.) has begun to intrude into the art scene. 

                  An example would be the painting, Edmond de Belamy that was sold for $432,500 – nearly 45 times its highest estimate. This begs us to question if A.I. has begun to eat into this realm that once belonged only to humans.

                  The present

                  Currently, A.I. hasn’t had too much influence over the art industry. With people still producing paintings and music albums, we can still believe that art is something that’s made by humans.

                  However, like the example above, we’re already starting to see signs of A.I. creating paintings. ‘Edmond de Belamy’ is an A.I.-generated painting by a Paris-based collective called Obvious.

                  Hugo Caselles-Dupré, a member of Obvious, said that “We found that portraits provided the best way to illustrate our point, which is that algorithms are able to emulate creativity”.

                  Just like Edmond de Belamy, A.I. is also taking its baby steps into the music industry. One example of this is a program called ‘OpenAI’. 

                  As Jon Porter from TheVerge says, “OpenAI’s MuseNet is a new online tool that uses A.I. to generate songs with as many as 10 different instruments”. 

                  Not only that, but it can create music in as many as 15 different styles, imitating classical composers like Mozart, contemporary artists like Lady Gaga, or genres like bluegrass or even video game music”. Soon enough, there’s likely to be A.I.-generated songs and art forms.

                  Now, the question here is – 

                  If artificial intelligence were to be able to emulate creativity, would that be beneficial or disadvantageous to us? 

                  Would artists still be able to create inspiring artworks? Would musicians still be able to create soothing pieces? 

                  Or would all these be taken away from us, and be dominated by A.I.?

                  We’re already over-reliant on technology in many parts of our lives, and that reliance on technology might rub off with the art scene, and lead us into losing the ability to differentiate human-created art and A.I.-created art.

                  We might also be wholly dependent on technology in the future to be creative. This might sound a bit far stretched, but it is definitely something that could happen.

                  AI and Machine Learning

                  With these questions in mind, we have to plan out the risks that we might take by letting A.I. into the art and music industries.

                  It might be like letting babies into a playground, or it might be like letting a pack of wolves into a herd of sheep. 

                  As of right now, A.I. definitely isn’t able to create art with the same quality as humans. 

                  They’re only able to create art from taking the data provided to them and piecing them together, making them seem unique, but in fact they are still replicated from human creativity.

                  This is because “art” is a complex thing. It’s not simple for A.I to just learn how to make art out of nowhere. Ken Weiner, a blogger on Scientific American, says that

                  “Even though the Cloudpainter machine (an artificially intelligent painting robot) has evolved over time to become a highly intelligent system capable of making creative decisions of its own accord, the final piece of work could only be described as a collaboration between human and machine”.

                  What this means is that with our current set of technologies, the artwork of any A.I still involves a human touch. But what about the future?

                  There is something called ‘machine learning’, and it is an application of artificial intelligence that provides the system with an ability to take in data and learn and improve from its past experiences and uses.

                  This is extremely important since machine learning could allow A.I. to create distinctive forms of art and music that may not even closely resemble the input data, opening the concepts of originality and creativity to A.I.-generated art and music.

                  The future

                  In the future, with the development of machine learning and A.I., the question is: Is this handmade, or is this made by A.I.?

                  A.I.-generated images already lurk around in our daily lives, and we might not even notice it until we look more closely. 

                  A.I.-generated faces, where they take 2 different photos and merge them together; or Snapchat filters, where they locate different spots on your face, such as your nose or your eyes, and put a mask on it, are both examples of A.I.-generated images and videos that have become part of our daily lives.

                  Sooner or later, A.I., along with the help of machine learning, will be able to adapt to our current world and will eventually create everything for us.

                  Art would be made by taking previous paintings in order to make a new one, while music would be made by taking previous songs of a specific genre and re-produce beats, patterns, and rhythms all on its own.

                  A.I. might even emulate human creativity and produce never-before-seen pieces of art.

                  It feels like we are on the verge of an A.I. revolution in the art and music scene. Just like how jobs were changed, for better or worse during the industrial revolution, A.I. may change the way we view and appreciate music. 

                  New, different art and music styles could be produced, styles of the past like Mozart’s music could be recreated, resurrected, revamped.

                  The question here is, in what way will A.I. change the art and music world, and how would we, being creatures able to emulate creativity and the people who gave life to these machines in the first place, deal with it?

                  Illustrations by Toh Bee Suan

                  Sources cited:

                  “Why Is Art so Important to Mankind?” Artist, artist-strange-work.com/why-is-art-so-important-to-mankind/.

                  “Is Artificial Intelligence Set to Become Art’s Next Medium?: Christie’s.” The First Piece of AI-Generated Art to Come to Auction | Christie’s, Christies, 12 Dec. 2018, www.christies.com/features/A-collaboration-between-two-artists-one-human-one-a-machine-9332-1.aspx.

                  Porter, Jon. “OpenAI’s MuseNet Generates AI Music at the Push of a Button.” The Verge, The Verge, 26 Apr. 2019, www.theverge.com/2019/4/26/18517803/openai-musenet-artificial-intelligence-ai-music-generation-lady-gaga-harry-potter-mozart.

                  Weiner, Ken. “Can AI Create True Art?” Scientific American Blog Network, Scientific American, 12 Nov. 2018, blogs.scientificamerican.com/observations/can-ai-create-true-art/.

                  Most searched queries

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                  Most searched question

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                  Categories
                  AI Tech

                  ChatGPT and Generative AI’s – A Digilah view

                  ChatGPT and Generative AI’s
                  ChatGPT and Generative AI’s

                  Written by Vidya Dhareshwar on Digilah (Tech Thought Leadership)

                  Chatgpt, Bard AI and all the generative AI seems to be the current flavour. There is an insurmountable buzz around and about it . 

                  Everyone has an opinion on its impact and the ways that it can change, how we and our future generations engage with and use tech in our daily lives.

                  Whilst there have been many concerns on its impact on search engines, students, jobs and livelihoods, the fact remains that this evolution has happened and is here to stay.

                  ChatGPT alone has been the fastest growing consumer internet app ever with over 100 million users two months after launch. This itself shows the vast potential of generative AI.

                   Just as life evolves, so does technology and yet this revolutionary technology doesn’t take away from human intelligence instead it is trained to learn what humans mean when they ask a question. 

                  Many users are awed at its ability to provide human-quality responses, inspiring the feeling that it may eventually have the power to disrupt how humans interact with computers and change how information is retrieved.

                  In the context of Digilah, where we like to provide a digital platform for every tech enthusiast to learn and contribute their tech journey and thought leadership, we view chatGPT, Bard AI and all other generative AI’s as an enabler and an opportunity for many of our start up and tech founders to share their learnings.

                  Let’s talk about the tech startup market in South East Asia alone. As per a Forbes article, The digital and tech industries of this region have enjoyed an enormous boom over the last few years. 

                  According to Jungle Ventures, Southeast Asia’s technology startups had a combined valuation of $340 billion in 2020, and they anticipate this will triple by 2025.

                  This is a diverse but very strong prospective market with a focus in Vietnam, Thailand, Indonesia, Malaysia, Singapore and the Philippines.

                  This market is quite complicated. Many entrepreneurs are hindered by concerns over a difference in mentality and a lack of understanding of how to do business there. We @ Digilah look at this as a huge opportunity.

                  There is a need to get all of the learnings and journeys of these startups and founders so that this rich knowledge repertoire is available to all. 

                  Many of them would like to share their journeys and provide their insights but sometimes are busy learning and navigating the markets and business challenges and for some it might also mean a constraint in terms of resources and skills to share their journeys be it content creation or communication skills or just time.

                  We present the combined power of Human Experience with the generative AI’s in the form of articles published by us at Digilah. Our submission is to use the vast reach of the generative AI tools to start the journey.

                  What this tech will do is provide for a framework, a skeleton, a structure of an article , a startup founders journey as a start point. This can then be brought to life by adding the content  and context of experience, leadership, success, failures and insights by the tech founders.

                  These articles are extremely valuable and become a  rich database of insight and knowledge for all knowledge seekers today and for the future.

                  In short, in our view, ChatGPT, Bard AI AND Human Experience is the opportunity to build the knowledge here at Digilah, all at the click of a key.

                  Hello readers! Hope you liked what you read today. Click the like button at the bottom of this page and share insights with your colleagues and friends!

                  For more such amazing content follow DigilahVidya Dhareshwar