Decision Making Tech

Role of Artificial Intelligence in Cloud Computing

Written by Navpreet Kaur on Digilah (Tech Thought Leadership).

AI and Cloud Computing are two revolutionary fields in tech which are evolving human life with greater impact.

The future belongs to Cloud and AI.

Cloud is offering scalability of services across masses without relying much on the availability of hardware.

It offers you agility, scalability, data management while AI offers intelligent models which can perform various tasks in lesser time. 

Thus increasing the efficiency and productivity of the applications.

There are multiple clouds available such as AWS, Azure, Google Cloud, IBM Cloud etc. 

Cloud services help to reduce on-premises hardware load by reducing computation costs and hardware costs.

While AI can be used to do repetitive tasks. Solve those problems quickly therefore increasing productivity.

It also reduces the chance of any human error since everything is automated. Using AI based models, various real time dashboards can be created to check and analyze the applications. 

Therefore, this can increase the efficiency of the system.

AI observability can be used to strengthen security in cloud computing by identifying potential threats and vulnerabilities more accurately and quickly. 

With the help of machine learning and pattern recognition, AI-driven security tools can analyze massive amounts of data. It can detect suspicious activities, thereby preventing cyber-attacks.

This AI-cloud relation not only creates a new way of thinking about other existing technologies and methodologies but also brings a new degree of accessibility to AI technology.

Big tech giants are investing tremendous amounts in AI and Cloud based technologies in their products and services.

This enables their businesses to enhance:

– decision-making

– streamline processes

Also provide superior customer experiences, leading to more innovative solutions and increased scalability for the business.

In conclusion, AI and Cloud technologies are shaping the new world in a better way. 

As AI adoption continues to grow across industries, the tech giants’ ability to capitalize on AI-driven innovations and productize them, will play a crucial role in their future success.

There needs to be continued leadership in the cloud computing space.

Most searched questions

What is the role of AI in cloud computing?

What is the advantage of using cloud?

Most searched queries

Artificial Intelligence


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How Digital Platforms are disrupting Businesses

Written by Raghu Kaimal on Digilah (Tech Thought Leadership).

The History of Digital Platforms and how it evolved to become what we see now:

The concept of digital platforms as we know them today has undergone a significant evolution over the past few decades. In the 1990s, the internet gave birth to basic digital platforms such as email. However, it is limited in scope and functionality.

With the rise of e-commerce, online marketplaces like eBay emerged, allowing individuals to buy and sell goods online. This marked the first step towards connecting buyers and sellers on a digital platform.

Then came the Social Media Boom, early 2000s witnessed the rise of social media platforms, with MySpace started in 2003. Later, Facebook started in 2004 becoming pioneers in this space. Social media platforms fundamentally changed the way people interacted and shared information online.

The early platforms were focusing on the B2C customers but later we saw many B2B platform flourishing like AWS, Microsoft and so on later part of 2010.

The introduction of mobile app stores, such as Apple’s App Store and Google Play in 2008, transformed how software was distributed and consumed. App stores enabled the creation of a vast ecosystem of mobile applications, further expanding the digital platform landscape.

Companies like Airbnb and Uber disrupted traditional industries by creating digital platforms that allowed individuals to share resources like accommodations and rides in new ways.

The Cloud and SaaS Platforms: Cloud computing platforms, like Amazon Web Services (AWS) and Microsoft Azure, revolutionized the way businesses access and use computing resources. Software as a Service (SaaS) platforms, such as Salesforce and Google Workspace, provided cloud-based software solutions, changing the software delivery model.

How Digital Platforms transformed various Industries:

Digital platforms have had a profound impact on a wide range of industries.

Retail and E-Commerce: Amazon is a prime example of how digital platforms have revolutionized online shopping. It created a vast online marketplace, streamlined supply chains, and personalized the shopping experience.

Social Networking and Communication: Facebook and Instagram have reshaped how people connect, communicate, and share information globally. They’ve also become advertising platforms, transforming the marketing industry.

Hospitality and Travel: Airbnb disrupted the traditional hotel industry by enabling individuals to rent their homes to travelers. This innovative platform changed the way people find accommodations when traveling.

Transportation: Uber and Lyft transformed the transportation industry by providing on-demand ridesharing services. These platforms offered convenience and cost-effectiveness, challenging traditional taxi services.

Entertainment and Media: Netflix is an example of a digital platform that reshaped the entertainment industry. It introduced streaming services, changing how people consume content and impacting traditional cable and broadcast TV.

Finance and Fintech: Digital platforms like PayPal and Square have made online payments and financial transactions easier. Additionally, fintech platforms like Robinhood and Coinbase have democratized investing in stocks and cryptocurrencies.

How Ecosystems Drive Platform Growth and Innovation:

Platform ecosystems are intricate networks of interconnected products, services, and technologies built around a central platform. These ecosystems thrive on collaboration, with various players – individuals, businesses, and developers – creating value for one another and, in turn, for the platform itself.

The significance of platform ecosystems lies in their ability to foster growth, innovation, and sustainability in the digital age.

Network Effects: Ecosystems capitalize on network effects, where the value of the platform increases as more users, developers, and complementary services join.

For example, a larger user base on a social media platform like Facebook attracts more content creators and advertisers, creating a self-reinforcing cycle of growth.

Diverse Services: Ecosystems allow a diverse range of third-party services and apps to integrate with the platform. This diversity expands the platform’s utility and attracts a wider user base.

Consider the Apple App Store, where developers create apps that enhance the functionality of Apple devices, leading to the platform’s growth.

Innovation: Ecosystems foster innovation as third-party developers create new features and functionalities for the platform. These innovations can address user needs that the platform’s parent company may not have anticipated.

For instance, the Android ecosystem benefits from the innovations of app developers who continually expand the capabilities of Android devices.

Monetization: Ecosystems provide revenue opportunities for platform owners and third-party developers. Companies can charge for platform access, take a share of transactions, or offer in-app purchases.

This monetization encourages more stakeholders to participate, further driving growth.

Data Synergy: Ecosystems leverage data synergy, with various components of the ecosystem contributing to data collection and analysis.

This data sharing and utilization enables more precise targeting, personalization, and insights, improving the overall user experience.

Data Utilization on Digital Platforms and its concerns

Data is at the heart of platform revelation. Digital platforms, in their various forms, rely on vast amounts of data to function efficiently, provide personalized experiences, and create value.

The collection, utilization, and analysis of data have become integral to the success of these platforms, shaping their operations, and influencing decisions.

Here’s an exploration of the role of data in platform revelation:

Personalization: User data allows platforms to offer personalized content, recommendations, and advertisements, enhancing user experiences.

Analytics: Data analytics provide insights into user behavior, trends, and performance metrics, helping platforms optimize their services.

Monetization: Platforms often monetize user data by selling it to advertisers or using it for targeted advertising.

Privacy Concerns: Collecting and utilizing user data raises privacy issues. Users may be unaware of the extent of data collection or how their data is used.

Data Security: Data breaches and cyberattacks can expose sensitive user information, leading to security and identity theft risks.

Data Ownership: Determining who owns user data and how it can be used is a contentious issue. Users, platforms, and third parties may have different interests.

Algorithmic Bias: Data-driven platforms can inadvertently perpetuate bias if algorithms are trained on biased data, resulting in unfair outcomes.

Regulatory Compliance: Data usage is subject to evolving laws and regulations, such as GDPR in Europe and CCPA in California. Platforms must comply with these rules.

Future Trends and Developments in Digital Platforms

The digital platform landscape is poised for significant evolution in the coming decade. Several key trends and emerging technologies will shape the future of these platforms and how they influence various industries and aspects of our lives.

GenAI Supporting the Sales and Marketing function:  GenAI helps create content in text, audio, video formats, Customer service automation, Sales enhancement though co-pilot which will help buys with rich content and sales support.

AI-Driven Recommendations: Artificial intelligence and machine learning will continue to power highly personalized content, product recommendations, and user experiences.

Context-Aware Platforms: Platforms will increasingly consider the user’s context, location, and preferences to deliver contextually relevant content and services.

AR and VR Integration: Digital platforms will integrate augmented and virtual reality technologies to offer immersive experiences for gaming, shopping, education, and more.

Social VR: Social media platforms may expand into the metaverse, enabling users to interact in virtual spaces.

Edge Computing: Edge computing will enhance platform responsiveness and support real-time processing for applications like autonomous vehicles and IoT.

Green Computing: Platforms will emphasize eco-friendly practices and data center sustainability to reduce their carbon footprint.

Sustainability Reporting: Users will demand greater transparency regarding a platform’s environmental impact.

The Importance of Platform Revelation in the Digital Era

In the digital age, understanding and appreciating the concept of platform revelation is more crucial than ever. It is the key to unlocking the profound impact that digital platforms have on our lives, economies, and societies. Recognizing the significance of platform revelation is not just a matter of staying informed; it’s a means to actively engage with the rapidly evolving landscape of digital platforms.

Here’s why it matters:

Empowerment Through Knowledge: Understanding how digital platforms work empowers individuals to make informed choices.

It allows users to protect their data privacy, control their online presence, and maximize the benefits these platforms offer.

Economic Transformation: Digital platforms are reshaping industries, creating new economic opportunities, and altering the nature of work.

For entrepreneurs and businesses, platform revelation is essential for staying competitive and adapting to changing market dynamics.

Societal Impact: Social media platforms influence public discourse, while e-commerce and service platforms impact how we consume and interact.

Recognizing the power of platforms enables citizens to engage thoughtfully in societal discussions and debates.

Ethical Considerations: As digital platforms collect data, influence opinions, and shape our online experiences, understanding their ethical implications is paramount.

It enables us to advocate for responsible platform practices and hold companies accountable.

Future Readiness: The digital platform landscape is dynamic and continually evolving.

Staying informed about trends, innovations, and challenges prepares individuals and organizations for what lies ahead.

Most searched questions

What is impact of digitalization on businesses?

What is green computing?

Most searched queries

SaaS(Software as a Service)

Augmented reality

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Innovating on a Budget: Exploring Cloud Cost Optimization for Agile Businesses

Written by Adora Nwodo on  Digilah (Tech Thought Leadership).

In today’s business landscape, staying competitive and driving technological innovation requires businesses to adapt quickly and optimize costs.

The cloud has revolutionized operations by offering advantages like scalable resources, operational efficiency, and global accessibility.

However, effectively leveraging cloud environments within budget limitations can be challenging, especially for agile businesses with limited financial resources.

This article provides multiple strategies for businesses to optimize their cloud costs. By implementing these strategies, businesses can encourage innovation, facilitate expansion, and achieve cost optimization.

To optimize cloud costs, businesses must first understand the cloud cost landscape. Infrastructure, compute resources, storage, networking, and additional services like databases, AI/ML, and analytics are typically part of cloud costs.

Cloud service providers offer different pricing models, including pay-as-you-go and reserved instances, each with its own cost implications. Businesses can make informed decisions and devise cost-cutting strategies by understanding these elements.

They can evaluate pricing options, customize resource usage, and balance innovation and cost optimization without sacrificing performance.

Cloud Cost Optimization Techniques

This section explores three cloud cost optimization techniques that businesses can use to reduce cloud costs and increase financial efficiency.

Rightsizing Cloud Resources for Efficiency

Businesses often struggle with the challenge of inefficiently provisioning cloud resources, leading to unnecessary expenses. To tackle this, rightsizing optimizes resource allocation to strike the right balance between performance and cost.

This involves closely monitoring resource usage and analyzing metrics such as CPU usage, memory utilization, and network traffic.

By understanding the connection between resource allocation and workload requirements, businesses can make informed decisions to ensure optimal performance.

Automation tools play a crucial role in the rightsizing process, enabling businesses to dynamically allocate or deallocate resources based on real-time demand.

These tools automate tasks like scheduling non-production resource start and stop times, allowing businesses to pay only for the actual hours of usage.

Adopting Cloud Cost Management Tools

Cloud service providers offer cost-management tools that enable businesses to effectively monitor, analyse, and control their cloud spending.

These tools provide insights into various aspects of cloud costs, helping businesses identify cost drivers, evaluate resource utilization, and track cost trends.

By leveraging the data provided by these tools, businesses can pinpoint areas where cost-cutting efforts can have the most impact and prioritize their cost-cutting strategies accordingly.

Cost management tools also enable businesses to track cost trends over time, offering historical cost data and visualizations of cost patterns and fluctuations.

This allows businesses to identify cost variations, seasonal patterns, and unexpected cost spikes, empowering them to proactively plan and optimize their cloud spending for better cost management.

Examples of cloud cost management tools include Densify, CloudZero, and Apptio Cloudability.

Leveraging Server less Architecture

Server less computing has transformed cloud cost optimization by shifting from infrastructure management to code execution. 

This change eliminates the need for continuous provisioning, management, and scaling of server resources, resulting in significant cost savings.

The pay-per-use pricing model of server less platforms ensures businesses only pay for the resources consumed during function execution, eliminating idle capacity and wasteful spending. 

Additionally, server less architectures enable agile businesses to accelerate application development and deployment. 

With modular server less functions, developers can focus on specific features or functions, leading to shorter development cycles and a faster time-to-market. 

This agility allows businesses to seize opportunities and drive innovation while staying within budget constraints.


Innovating on a budget is a challenge that many agile businesses face.  These businesses, however, can achieve a delicate balance between innovation and financial caution by investigating cloud cost optimization solutions.

Understanding the cloud cost landscape, rightsizing resources, adopting cost management tools, and leveraging server less computing can help drive innovation while controlling expenses.

Most searched questions

What is cloud computing?

What are the cloud tools which can be used to reduce the cloud costs?

Most searched queries

Cloud services

Cloud resources.

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Decision Making Tech

Research, Technology, and right decisions

Written by : Sumesh Raghwani on Digilah (Tech Thought Leadership)

Research and technology have had numerous benefits for society across various fields and aspects of life. Here are some keyways in which research and technology have positively impacted mankind:


    1. Improved Communication: Technological advancements such as the internet, mobile phones, and social media have revolutionized communication. People can now connect and communicate with each other globally in real time, enabling the exchange of information, ideas, and knowledge on a scale never seen before. This has facilitated collaboration, enhanced education, and fostered a sense of global community.


    • Healthcare Advancements: Research and technology have greatly improved healthcare outcomes. Medical research has led to the development of life-saving treatments, vaccines, and diagnostic tools. Advanced medical devices and imaging technologies have enabled early detection and precise treatment of diseases. Telemedicine has made healthcare more accessible, particularly for those in remote areas. Overall, research and technology have contributed to increased life expectancy and improved quality of life.


    • Enhancing Education: Technology has transformed the way we learn and access information. Online education platforms, digital libraries, and interactive educational tools have made learning more accessible and engaging. Students can access a wealth of knowledge and resources from anywhere, allowing for personalized and self-paced learning. Additionally, educational research has helped in developing effective teaching methodologies and curriculum enhancements.


    • Economic Growth: Technological advancements drive economic growth by fostering innovation and creating new industries and job opportunities. Research and development (R&D) initiatives lead to the discovery of new products, processes, and technologies, stimulating economic activity. Industries such as information technology, biotechnology, and renewable energy have emerged as a result of research and technological advancements, contributing to job creation and economic prosperity.


    • Environmental Sustainability: Research and technology have played a crucial role in addressing environmental challenges. Advancements in renewable energy technologies, such as solar and wind power, have helped reduce reliance on fossil fuels and mitigate climate change. Sustainable agricultural practices and efficient waste management systems have been developed through research, leading to more eco-friendly practices. Furthermore, scientific research has provided valuable insights into environmental conservation and biodiversity preservation.


    • Increased Accessibility and Inclusion: Technology has made significant strides in improving accessibility and inclusivity for individuals with disabilities. Assistive technologies, such as screen readers and mobility aids, have empowered people with disabilities to participate more fully in society. Moreover, research and technological innovations have led to the development of universal design principles that benefit everyone, regardless of their abilities.


    • Enhanced Transportation and Infrastructure: Research and technology have transformed transportation systems, making them safer, more efficient, and environmentally friendly. The development of electric vehicles, autonomous driving technologies, and high-speed rail systems has improved transportation options while reducing carbon emissions. Smart infrastructure, including intelligent transportation systems and sensor networks, has enhanced traffic management and optimized resource utilization.

These are just a few examples of how research and technology have benefited society. The continuous progress in these areas holds the potential for further positive impacts, addressing emerging challenges and improving the overall well-being of individuals and communities.

This research has also led to advancements in language understanding allowing me to grasp nuances, idioms, and specific domain knowledge more effectively.
Overall, the research and technology journey has been transformative to me, improving my performance, efficiency, user experience. As the journey continues, I look forward to further advancements that will enable me to continuously improve and adapt to better serve the needs.

Most asked questions

What is the role of research and technology in society?

Can R&D really work towards development of a country?

Most searched queries



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Decision Making Tech

Better than Before: Making sense of data in an age of information overload

Written by Ira Gilani Lal  on Digilah (Tech Thought Leadership)

In a 2016 Harvard Business Review article, Scott Anthony shared some insights from a study on S&P 500 companies:

  • 61-year tenure for average firm in 1958 narrowed to 25 years in 1980 – to 18 years in 2012
  • At current churn rate, 75% of the S&P 500 companies will be replaced by 2027

Business leaders commonly refer to the military acronym VUCA (Volatility, Uncertainty, Complexity, Ambiguity) to describe the world today. The external environment is changing at a rapid pace and companies cannot afford to be caught off guard. How can companies continue to thrive, in this ever-changing external environment? While there are several challenges, and there are also plenty of opportunities. Deep-rooted assumptions hold us back from unlocking this hidden potential.

Today’s information and digital systems are capable of providing a huge amount of data at the click of a button. Most organizations measure a large number of metrics for each business unit, division, department, employee level etc. The underlying assumption is that the more we measure, better we are! Most senior executives are quite familiar with their local measurements (e.g. tons, units produced, order book, number of subscribers etc.) but are ignorant of the overall financial measurements. 

Everyone in the company should understand financials; it is not just for Accounts or Finance function. In most organizations, the top management team does not have a good understanding of Free Cash Flow. In his book, Conspiracy of Fools, Kurt Eichenwald writes that in 2001, just a month before the collapse of Enron, its chairman Kenneth Lay, CEO Jeffery Skilling, and CFO Andrew Fastow did not know that Enron would run out of cash in a matter of weeks!

Dr. Eli Goldratt, author of the best-selling book The Goal, repeatedly emphasized that “Measurements Drive Behavior!”. The purpose of measurements is to take decisions for corrective actions. At the organization level, a few simple parameters are good enough. Timely data and corrective actions can help individuals to connect the dots and see the big picture.

Most companies review performance monthly. This leads to a significant time lag in getting key data or MIS. We recommend a weekly review mechanism with focus on 3-5 key metrics. The objective of the review is only to take decisions for corrective action. The weekly report should be simple and accurate, leaving no room for analysis paralysis, and facilitating effective decision-making.

Increasing digitization of data across the organization has been a key enabler for running the weekly reviews successfully. Companies that have adapted this methodology, provide a very high degree of focus on getting the reports right first time, as soon as the week ends. Many companies have integrated their digital systems (based on ERP such as SAP, Oracle, Tally, Zoho) and provide simple excel based reports and dashboards which can be accessed across devices such as mobile phones or tablets.

During the last two years of the pandemic, there have been lot of uncertainties in supply chain. Moving to a digitally enabled model has allowed these companies to be extremely nimble and agile in their decision making. Several companies have pivoted their business model quickly in order to capitalize on the emerging opportunities in the market. These decisions have been backed by analysis of marketing trends using simple AI and ML based algorithms, dynamic decision making matrix and partnerships across the digital ecosystem.

Technology acceleration has also helped some companies to take specific actions to address business challenges posed by the pandemic. For e.g. to deal with the disruption in logistics, companies have invested in GPS based end to end tracking systems. In manufacturing businesses, use of IOT based sensors has picked up significantly to collect data, and share timely alerts for predictive maintenance.

At Goldratt India, we have been working with Indian companies for over 23 years to help them increase their sales, profit and cash flow by an order of magnitude. Weekly reviews have been the cornerstone of all our engagements. Companies have been able to achieve quantum improvement in performance, just by changing a few metrics and review processes. Some of our learnings are  encapsulated below:

  1. Measure performance weekly instead of monthly
  2. Don’t get stuck in analysis paralysis, focus on corrective actions only
  3. Instead of chasing benchmarks or budgets, always strive to “Better than Before” with respect to own past performance
  4. Monitor plan vs. actual every week: The more our planning improves, the gap between plan vs. actual reduces
  5. Better than Before: Each week, strive to improve upon past 13 week moving average, irrespective of the external environment

Our client JSPL has been practicing these principles for over 5 years and is well on its way to becoming a debt free company. The company has reduced debt by over Rs 25000 crores in the last 4 years.

Short video from the case study presented at TOCICO international conference in USA:

In conversation with Mr. Naveen Jindal, Chairman, JSPL