Episode 49: Zapata AI CEO Christopher Savoie

Hello, and welcome to Tech Connects, Dice's podcast where we dig into the topics on tech hiring, recruiting and careers that matter to you. I'm your host, Nick Kolakowski.

Our next guest on “Tech Connects” is Christopher Savoie, who’s the CEO of Zapata AI, which is figuring out how to best integrate artificial intelligence into industrial-scale applications. In other words, he spends all day thinking about how to make the massive systems that underlie our lives, from supply chains to manufacturing hubs, even smarter and more efficient. If his name is familiar, it’s because he’s the co-inventor of AAOSA, the A.I.-based natural language interface technology used to develop Apple’s Siri, so he’s been in the AI game for a very long time. 

I wanted to get Christopher’s take on the future of AI, the risks we need to be aware of, and the complexities of deploying this technology at enormous scale. It was a fascinating conversation and moved very quickly, with a ton of points covered, so buckle up!

Here are some key points from our discussion:

• AI is more than just chatbots: While generative AI has gained popularity through chatbots, its applications extend far beyond natural language processing. Zapata AI demonstrates how AI can be used to solve complex industrial problems through advanced mathematical modeling and optimization.

• Quantum-inspired algorithms can tackle complex problems: Zapata AI's approach leverages quantum-inspired algorithms to efficiently handle the complexity of industrial challenges. This showcases the potential of quantum computing concepts even before the widespread availability of quantum hardware.

• AI can enhance human decision-making: By automating routine tasks and providing data-driven insights, AI can support human decision-makers in industries like logistics, finance, and healthcare. This can lead to improved efficiency, reduced errors, and better outcomes.

• The future of AI is multi-modal and domain-specific: As AI continues to evolve, we can expect to see more specialized AI models that combine different types of data (e.g., text, images, numbers) to address specific tasks. This will enable more tailored and effective AI solutions across various industries.

We hope this episode has helped you with some new insights into AI. We'll see you next time-and remember, we are your best resource to find the tech talent you need to fill your open roles, and for technologists, the best place to grow your tech career.

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