C3.ai, Bloom Energy CEO talks about grid optimization with AI

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With huge investments being made in AI and its infrastructure, the need for energy and proper distribution to power these systems will grow. C3.ai Inc (AI) and Bloom Energy (BE) are collaborating to solve this problem and are expected to revolutionize the way power is allocated across the power grid.

They are joined by Tom Siebel, Chairman and CEO of C3.ai, and KR Sridhar, Founder, Chairman and CEO of Bloom Energy, who is also a member of C3.ai's Board of Directors. catalyst We discuss the partnership between these two companies and what they can do for consumers.

Sridhar details how the two companies will work together to use data to make better decisions about where to distribute energy. “Finally, we're at a point where we can get these 1 billion data points from all the digital trends coming out of the power plant.” That's what we're working on, and if this proves out, the power generation The future will be decentralized power generation as opposed to one centralized power plant. This could be a model that everyone else could use. ”

Siebel continued, “One of the biggest applications of AI will be to optimize the global grid infrastructure, which will be the largest and most complex machine ever built. And we will be able to use AI to deliver cleaner, more reliable, and safer energy for happier customers while reducing our impact on the environment. It will pass into your hands. ”

For more expert insights and the latest market trends, click here to watch the full episode of Catalyst.

This post was written by Nicholas Jacobino

video transcript

Now, C three AI has announced a new partnership with Bloom Energy using C three A's reliability suite to expand the reach and accuracy of Bloom's product monitoring technology.

To learn more about this new collaboration, we'd like to welcome Tom Siebel.

He is CC Three A and like Kr Sri is CEO and Chairman.

He is the founder, chairman and CEO of Bloom Energy.

I'm glad that both of you have Madison Mills joining us in the conversation.

Kr Let me start from our perspective. Lately, when we talk about this energy transition, there has been a lot of focus on Bloom Energy. We're talking about what you want in the end. Rapid adoption of AI.

So why does this partnership make sense?

And ultimately, what does it do for your business?

There are three things here, right?

The first is because as the economy grows, as AI and data centers grow, transportation is becoming more electrified and everything is becoming digital, similar to previous segments.

The power grid can't keep up with demand, and one way to solve this problem with rapid power delivery is by using distributed systems like ours to deliver clean, reliable power to customers where they need it. is to supply.

That's Bloom's role.

Now, think about the uh fleet that we are deploying. Think of this as almost 20,000 small independent power plants operating at over 200 locations and generating enough electricity for 1 million homes.

And imagine 1,000 data points coming in every day from each of those million households that you know about.

That means you have a billion data points coming in that you can use to improve your optimizations and make your products more efficient so they last longer and provide better benefits to your customers. Masu.

When it comes to AI platforms, Tom and I have been talking about this for a long time.

Finally, the time has come when we can capture these billions of data points from all the digital trends coming out of the power plant and better optimize them.

That's what we're working on, and it's very important, not just to us.

If this proves true, the future of electricity will be a lot of distributed generation. Unlike one centralized power plant, this could be a model that everyone else could use.

Tom, I want you to come here because, as Kr mentioned earlier, C-three is very helpful for customers to aggregate large amounts of data.

However, the AI ​​hype cycle is rapidly shifting from traditional use cases such as data aggregation to a desire for new products emerging from generative AI.

So I'm curious from your perspective, what is the path for C 3 AAI to become a generative AI play?

And how long do you expect it to take?

Well, I think we're way beyond the hype cycle.

And now we have large-scale AI implementations.

One of the biggest applications of AI is optimizing global grid infrastructure.

And this grid will be the largest and most complex machine ever built.

That's why we can use AI to deliver cleaner, more reliable, and safer energy into the hands of happier customers, with minimal environmental impact.

That said, globally, policy decisions are failing those who run the power grid, and power availability has become important in Europe and North America.

So where do we know what kind of research Kr is doing with these fuel cells?

Tens of thousands of fuel cells are now part of this great infrastructure, optimizing it.

We need to apply AI to generative AI now.

How big is it?

It's huge.

So, you know, the, the, the, enterprise AI, power sector applications, the oil and gas utility market.

Defense intelligence, manufacturing, that's probably going to be, you know, order, you know, a trillion dollar industry, and generative AI is another trillion dollar industry on top of that.

And we're now applying JA I to generative AI in defense and intelligence in power distribution companies like Con Edison, the New York Electric Power Company.

What we're doing is working with Kr from Bloom Energy on generative AI, and generative AI changes everything and changes me. But I think we've moved well beyond the AI ​​hive cycle and are now in the midst of large-scale commercialization. Industrial implementation cycles are very fast.

Tom As you said earlier, I know you get a lot of revenue from defense, but where is there more demand from the commercial sector or the government sector?

Commercials are by far our biggest commercial and also include commercials for energy, oil and gas, consumer, packaged goods, travel, transportation, and more.

Well, that would be government services, which account for 80% of state and local business.

But defense and intelligence may represent 15-20% of our business.

That being said, it's growing rapidly.

I think we announced it in the last quarter of that year, and the year-over-year growth was on the order of 100%.

This is one of the things we're going to reinvent.

It's a military complex in space.

Underground, cyber.

got it.

Ah, the logistics are at stake.

What do you have?

AI is right at the heart of this, and we are actively participating with the Department of Defense to help them deliver these services where they want them.

Now, given our final moments, Tom, I'm curious, but I know you talked about how we're essentially at war with China here.

1 minute left.

Tell me how much you worry about headwinds, moving forward, fear, fear.

These people are capable, well-funded, well-trained, focused, and they, you know, this idea, pure evil exists.

got it?

It exists.

got it?

And these people are planning to control us, you know, in cyber, in AI in chips, in underground space.

And AI has a lot to do with this plan.

And we have an open AI war with China today, and you know, different companies partnering with different players.

We partner with the U.S. Department of Defense and our allies, and we're proud to do it, and we hope we win, but you know, I'm afraid, this… This is a very, very important and certainly an existential question.

Okay, Tom Sell, I wish we had more time.

Thank you so much for joining us, and of course, we thank you too, take care, sweetheart.

We look forward to continuing to use Yahoo Finance.

Thank you for your time.



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