Meet ‘Archie’ who is helping all of us get smarter than any of us — at the speed of AI

[jrineakter]

We’ve covered education enhanced by Artificial Intelligence for our children in Part One and Part Two. Now I want to turn my lens to the learning ecology of AI inside of companies. Our emergent transformation into a “superorganism” is easing and accelerating the ever-important ramp-up of both new and existing employees who will master the facts that they need to effectively do their jobs – and to effectively help our customers do theirs.

So just what are we up to?

Essentially, we are doing this with two broad clusters of initiatives. One is “Interactions with Archie”, which seeks to better connect data.world and our team with our prospective customers. The second cluster is our “AI Hacks Library”, where we are using AI tools for the team itself to accelerate and bolster coherence and communication.

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The idea behind both sets of initiatives harkens back to that great adage about teams, one at the core of my leadership philosophy: “All of us are smarter than any of us.” And now, we’re slapping on the thrusters and “all of us” are getting an assist from AI. Let me explain.

The new table stakes for every company – generative AI

Our initial foray is “Interactions with Archie”, effectively our own version of ChatGPT. We have trained it on all of our whitepapers, marketing collateral, case studies, webinars, competitive intel, and more. It was conceived by my co-founder and our CTO at data.world, Bryon Jacob, and our VP of Strategic Initiatives, Brandon Gadoci, during our AI Hackathon in August.

More on that later and how it evolved from our suite of Bots, but the broad point of it all is that these are empowerment tools — a form of what I call “enabling innovation”.

With that innovation, we seek to fill a gap in our collective perception of this emerging kaleidoscope of AI technologies that is transforming our planet. This gap we seek to fill is the limited belgium whatsapp number data way that we tend to conceptualize AI. Unfortunately, we usually think about AI’s power with comparisons to human capacity.

Can generative AIs pass the bar exam? Can they outperform a radiologist? Will an AI tool write this article more elegantly than me? Fair enough, great questions. But these questions miss a key point: Progress and innovation are seldom, if ever, the work of individuals – a great case in point being this week’s winners of the Nobel Prize in Medicine.

Those scientists, Katalin Kariko and Drew Weissman, are part of a long story of collaboration. That story dates at least to the time of ancient humans corralling game with sophisticated coordination two million years ago, then on to the labors of their global group of science-in-the-fast-lane researchers who delivered us an mRNA pandemic vaccine in nine months. Teams are where the cognitive action is, as I argued in a data.world blog post last year. In that post, I cited Kariko and Weissman as enablers of innovation whom we should emulate. In the phrase of my friend and author Byron Reese, our teams are becoming at one with a planetary “superorganism.” Let’s unpack that.