Our Own Renaissance 2.0 Artisans at Work

[jrineakter]

This immersive experience of a creative torrent, the AI-drawn “aunties”, the Sphere of seemingly infinite entertainment scope, the surreal visuals, the curious and loquacious robotics, and Williams’ comparison of these tools with the highest art and creation of centuries ago, all prompt a segue to a formative experience that I must share. It happened before TED and was one much closer to home. This was a visit that my son, Levi, and I took to Apptronik, the homebase of humanoid robots based here in beautiful Austin. The ChatGPT-fueled artwork that Levi chose for my Part Two of this series foreshadows a future Renaissance 2.0 that is in fact imminent. For Apptronik is already building the first versions of that future today. One of our visit’s most stunning sightings was a large mural of highly detailed robot images. I asked our gracious host, Industrial Designer Marcelo Gutierrez, how those were created. The answer, “AI”... of course. Just one of these drawings would have taken weeks to develop before the advent of Midjourney, DALL·E, and others. The goal, Marcelo said, was to create a robot that would not be intimidating to humans. As he described the intricacies of the challenge it made me realize how daunting the task actually was – and is. Then, in March at SXSW, I got to see my good friend, Czech polycreative Yemi A.D., actually bring the finished project to life, as he led an interview of Apptronik’s CEO, Jeff Cardenas. The tour was glorious and left Levi and me buzzing and proud that SXSW is helping unleash the beauty of this AI-fueled creativity to the rest of the world.

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At my company data.world, we’ve been building towards this latter day AI Renaissance since our founding in 2015. It was at our beginning that we made our prescient decision to have our knowledge graph foundation be the platform for all of our future applications, including data cataloging and governance, and acquisitions, including Capsenta and Mighty Canary’s technology. Our frontier contribution to this new societal source code is the “nervous system” and “brain” – more formally the “data brazil whatsapp number data catalog” and “knowledge graph” – of the data stores powering AI. This meta-data management system converts the chaotic “Cambrian Explosion” of data that I wrote about in 2021 into rational, organized, and vital information for decision-making. Yes, the future is here, but its data is going to be evenly distributed, as I twisted that famous phrase from novelist William Gibson in a March 7th launch article on our new AI Context Engine™, which is the most important product in our history and the culmination of all we’ve built since our beginning.

Our own data.world artisans of Renaissance 2.0 continue almost daily to produce insights and innovations. Our AI Context Engine is an interface and application layer that allows users to chat with their own structured data. The power of chatting with your structured data lies in the power of context. Specifically, the context of your business. You can ask ChatGPT, “What does revenue mean?”, but you can ask our AI Context Engine, “How do we define ‘revenue’ internally, and what was our net revenue for the past five years?” Advancements like these are helping to usher in a new world of AI-ready data that will soon be commonly adopted across organizations of every size and sector.