AI TECHNOLOGY Archives

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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Written by : Vivek Gouda on Digilah (Tech Thought Leadership)

The automotive industry is rapidly adapting to the demands of connected mobility. The rise of autonomous and electric vehicles will create new challenges for manufacturers, who must implement solutions that will help them meet changing consumer needs. These vehicles are expected to require more computing power than traditional cars, which leads us to ask: What does this mean for aftermarket solutions?

What does this mean for aftermarket solutions?

As both traditional and autonomous cars become more automated, and more intelligent, the use of geospatial technology is proliferating.Geospatial intelligence (GEOINT) is the use of data and technology to improve the way we make decisions. It’s a key component of connected mobility, which refers to how vehicles communicate with each other or with infrastructure.

In autonomous vehicles, geospatial intelligence can be used to collect real-time information about road conditions as well as traffic patterns—which can help a vehicle avoid hazards that could otherwise cause an accident or delay. This type of information can also be useful for collecting data on weather conditions, or even hazards like ice on the roads during winter months.

Connected cars are another place where geospatial intelligence is being applied: they collect both driver behavior data and location information via onboard sensors that provide insights into driver quality control and safety measures such as speeding or harsh braking incidents.

But what exactly does that mean for the future of cars?

Geospatial intelligence (GEOINT) is a broad term that refers to information gathered from satellite data and other sources in order to identify people, places, and objects.

Using GEOINT, we can determine the location of a person or object within a specific area. This allows us to collect data on the location of vehicles on roads at any given time—information which is then used by car manufacturers and other companies to improve their products and services. For example, knowing where cars are parked may help you find your way into an underground parking lot before you run out of battery power in your electric vehicle; it can also be used by municipalities when designing new roads so they can plan how many lanes will be needed for traffic flow.

And how does it work?

Driving intelligence solutions allow manufacturers and OEMs to identify and engage with their customers based on their driving behavior. The solution is designed to be used by the driver, who can also access it from an app on their phone or tablet. Using this technology, car manufacturers can:

Monitor vehicle location & speed
Identify where drivers spend most of their time in the vehicle
Collect data on when they start and stop using the car, how long they use it for and where they go during those times

What does this mean for traditional vehicles?

Geospatial intelligence is a software solution that integrates data from multiple sources to help personnel make better decisions. In the automotive industry, it has been applied to several areas, including navigation and fleet management.

In this article, we’ll explore how geospatial intelligence can improve driver safety and efficiency in traditional vehicles.

How does it all come together?

Here’s how it all comes together:

Data from connected vehicles – This is the raw data collected by autonomous vehicles and other vehicle systems. It offers an on-demand picture of traffic patterns, road conditions and driver behavior.
Data from the cloud – The cloud allows you to store and analyze large amounts of data in real time. In this way, you can quickly identify patterns that indicate a problem with one or more sensors or systems on your vehicle.
Data from the edge – Edge computing uses advanced analytics at the edge of a network (a local area) rather than in a centralized location such as a cloud server center or data hub. This approach enables faster decision making because only relevant information is sent over high-bandwidth networks instead of sending all available information for analysis in another location—a process that can take hours or even days depending on bandwidth capacity limitations

Harnessing the power of geospatial intelligence will help you create better experiences for every aspect of your customer journey.

Geospatial intelligence is a powerful tool that can help you create a more personalized and engaging experience for your customers.

Heliware’s HeliAI uses location data to give you insights into how people are moving around the world, what they are doing at any given time and whether there are opportunities to engage with them at specific locations. Automotive service providers or manufacturers can use this information to understand customer behavior and improve the experiences your products offer.

MOST SEARCHED QUESTIONS

How AI is impacting the automotive world?

Future of AI in automotive industry?

How is AI used in self-driving cars?

What are the problems faced in automobile industries?

MOST SEARCHED QUERIES

AI technology meaning

AI technology examples

Benefits of in automotive industry

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