Juan Sequeda

@juansequeda.bsky.social

Principal Scientist & Head of AI Lab at data.world; co-host of Catalog & Cocktails, the honest, no-bs, non-salesy data podcast. Computer Scientist. Previous Founder Capsenta. PhD UTCS. Interests: Knowledge Graphs, AI, LLMs, Data Integration & Data Catalogs

And I suppose Amalia and I will still have a chance to speak together on how to think like a librarian, since @juansequeda.bsky.social invited us onto Catalog & Cocktails. Details forthcoming on that! It will be my first ever podcast appearance, and I'm a bit nervous about it 😆

A week ago I delivered my talk at @datadaytexas.bsky.social: "Think Like a Librarian: Fresh Perspectives from a Time-Honored Tradition". While my co-speaker Amalia Child couldn't make it due to the winter storm, I'm glad I was still able to present and bring a librarian's perspective to data folks.

Title slide from my talk: "Think like a librarian: fresh perspectives from a time-honored tradition". Image from the movie "Desk Set"

Just how old is the idea of a "semantic layer", and using it to "talk to your data"? At the beginning of this year, I started a book club for Data & Reality by Bill Kent. (you've probably seen me posting about it!) The 1st edition of Data & Reality was published in 1978, the 2nd edition in 1998.

OpenAI is reminding me what Cyc was doing in the 80s and 90s “OpenAI has worked with experts in subjects like theoretical physics, to explain how they would approach some of the toughest problems in their field. This can also help Orion get smarter. “ www.wsj.com/tech/ai/open...

The Next Great Leap in AI Is Behind Schedule and Crazy Expensive

The startup has run into problem after problem on its new artificial-intelligence project, code-named Orion.

wsj.com

Spoiler alert: Data engineering is harder than you think— and here's why. This quote summarizes the issue: "It is not the domain experts' knowledge that goes to production, it is the assumption of the developers" - Alberto Brandolini (EventStorming Creator) Cognitive burden is too high!

“At the turkey-processor Butterball, it took advanced analytics systems and some upgraded data plumbing to uncover a hidden but universal truth: people hate thawing their birds.” No sh********t!!! And you are proud of the $ spent to come to that conclusion? www.wsj.com/articles/tha...

Thank Big Data for Killing Off the Worst Part of Thanksgiving Meal Prep

Butterball started out with a boring, standard software implementation—and ended with the creation of a Thanksgiving turkey that you do not need to thaw.

wsj.com

Our podcast episode with Ethan Mollick on AI was 🔥 A highlight quote: We are trained to make dumb systems smart. We are not used to making smart systems smarter. We end up making smart systems dumber. We are focused/concerned so much on limiting LLMs and not leveraging their super powers