Artificial intelligence, creativity and a very restless 100 trillion dollars.

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Check out the highlights from GTC 2024, Nvidia's global conference, in a series of three exclusive content pieces that our CEO, Pedro Braga, has developed for our customers and employees.



Nvidia’s GTC used to be a developer conference. It used to be, because the 2024 edition has become the biggest event San Francisco has seen in years, with dramatic launches and pyrotechnics that promise to further expand the horizons, possibilities and applications of AI.

Over the last few days, we have been closely following everything we cameroon whatsapp number database understand about one of the major protagonists of this revolution, which has shaken up the technology market and has had an impact on practically all industries.

Talk at GTC Nvidia

Opening Keynote with Nvidia CEO Jensen Huang: Artificial Intelligence and the $100+ Trillion Revolution
100T USD is the estimated size of the technology market in a few months. Obviously, this will be the market most impacted by the Artificial Intelligence revolution, but Jensen Huang, CEO of Nvidia, made it clear in his opening keynote that we are facing a revolution that will transform the relationship between humans and technology, and not just the technology industry.

Jensen compared this moment to the introduction of electrical energy into human routines, with the same range of uses and impacts.

AI capable of learning anything and understanding everything
According to him, we are facing a technological revolution that will allow us, in a short time, to capture, understand, create and redesign practically all aspects of the human experience digitally. Everything that can be digitized (including proteins, DNA, RNA, brain waves) can be understood, parameterized and used as a basis for simulations and new creations.

Nvidia GTC

A new chip, more partnerships and many applications
Jensen announced strategic partnerships with major companies like Microsoft and Siemens, launched a new Blackwell chip with expanded processing capacity, and brought forward some impressive emerging applications of the new technologies.

The applications demonstrated ranged from designing new medical solutions, predicting extreme weather events, digital art, accelerated use of digital twins and Project Groot, a complete platform for creating and training humanoid robots, capable of learning just by observing human beings.



Nvidia GTC

Keynote with Open AI | What's Next in Generative AI
Brad Lightcap, COO of Open AI, has been called Sam Altman’s secret weapon and has been instrumental in the company’s growth. During the conversation, Brad explored the rapid evolution of Open AI and how solutions like Chat GPT are being adopted by companies across industries.

Once the solution gained traction, large companies approached Open AI to quickly implement the innovation in some way. The internal team said they felt more like therapists than salespeople, given the number of business challenges they heard from each client. But this doesn’t seem to be the quickest path to extracting value from the innovation, and Brad shared some interesting insights.

Nvidia GTC

How to extract value from GPT Chat and other innovative solutions
A good practice, according to Brad, is to start with a small application designed to solve a specific part of the workflow. This approach will allow you to create a real and scalable use case. Often, shaving an hour or two off the financial analysis that a large team does every day can have a big impact on the organization.

Another good practice is to not limit your ambitions. Even if you start with a narrow application, your vision should be broad. If you started using AI to compare spreadsheets, you can now explore prompts to automatically generate insights from the data or create charts, for example.

The third valuable tip is: increase contact with technology. Brad says that many companies have discovered several new uses for GPT Chat once teams understand the possibilities and start testing solutions for their own problems.

After all, no one is better than the user to understand where to apply a technology with so many possibilities.

According to Brad, Open AI does not plan to create specific use cases, but rather to focus its efforts on enabling companies to do so:

“Every time we think about creating something for a specific use case, we remember that somewhere in the world there is someone who cares more about that problem than we do. That’s why we’re focused on evolving our model. GPT Chat itself is just one way to access them.”