Hi guys.
Welcome to this session.
So in this session we want to discuss the AI business ecosystem, the different layers in this and the
opportunities across these layers.
So let's have a look at this.
So the artificial intelligence ecosystem is comprising of multiple layers.
So the starting off with semiconductors semiconductors are basically chips like GPUs and TPUs which
powers AI computation.
On top of it there is cloud infrastructure platforms like AWS, Google Cloud, which offers scalable
computing, and then foundation models, which are pre-trained AI models like OpenAI's ChatGPT for enables
custom solutions.
And then you will have orchestration frameworks, which are basically tools which can connect and manage
multiple AI services together.
And then the last is going to be application layer, where AI driven products like chat bots and recommendation
engines work.
So let's have a look at each of these layers one at a time.
So first is semiconductors the basically the AI hardware, which we are talking about.
So what it is, it's basically these are going to be specialized chips like GPUs, TPUs, AI accelerators.
Uh, and why it is needed is because it provides the massive computing power needed for any type of
AI tasks, which we are doing.
The key players in this particular segment are Nvidia, AMD, Intel who are manufacturing these products,
these semiconductors, and the if you look at it the opportunity wise, it's developing chips is capital
incentive.
Businesses can access them through cloud services.
So there are a lot of benefit of this particular product.
On top of it, there is cloud infrastructure, which is the AI power hub.
Now this is basically an on demand computing, storage and AI services which they are providing.
Why it matters is because it provides scalable resources without owning any hardware.
So a lot of small medium businesses can avail it without any issues.
Key players who are providing these services right now are AWS, Google Cloud, Microsoft Azure.
All these are different platforms which you can use for cloud infrastructure.
And then if you look at it, opportunity wise, startups can access enterprise level tech with pay as
you go payment methods.
So easily they can pick up these services and they can use it in their in their business.
Now if you look at on top of this the foundation model, the AI brains, which is basically the pre-trained
AI models like ChatGPT, Cloud Llama, all these are the tools.
Now these ones enables advanced AI capabilities without building models from scratch.
The key players who are who are who are the platforms in this right now are OpenAI, meta and anthropic.
Anthropic which has built cloud and then opportunity wise, if you look at it, businesses can easily
fine tune these models for custom solutions, which they want at a fraction of a development cost.
Now, on top of this, what we get the next is Agentic orchestration, the AI workflow manager.
So these are tools that can manage and coordinate between multiple AI services and APIs.
Now this is something we call as the AI agents, which can work in here.
And it matters because it enables seamless automation across complex AI systems.
Now the key players who are providing this service right now is auto AI.
All these companies and the benefit of it is businesses can streamline processes.
Because of this, they can reduce development time and increasing their efficiency.
Scalability.
And then finally comes the applications layer which is where the AI is in action.
And these are AI powered products basically delivering real world solutions.
It drives business value through automation, personalization and efficiency.
The key key players in this are chatbots, which we use on any platform.
You have seen recommendation engines, AI powered analytics.
All these are the different products of Applications layer where it is being applied.
Now, opportunity wise, if you look at it, entrepreneurs can build market ready apps with minimal
investment using these cloud APIs.
If you look at it, the AI opportunities for businesses, there are plenty of them for small medium
businesses, large organizations as well for small medium businesses.
They can use pre-built models and cloud APIs to build cost effective API apps.
They can automate tasks like customer service marketing operations through the help of these API tools.
They can also focus on application and orchestration layer for quick market entry in cases of large
organizations.
They can develop proprietary AI models and enterprise level workflows.
They can also scale the automation and analytics for deeper insights.
They can invest across all the layers, from infrastructure to applications for industry leadership.
So these are all the developments you can say or the layers which are available in the AI business currently.