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
Reposted by Juan Sequeda
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.
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.
April 20, 2025 at 11:22 PM
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.
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.
This is cool Catalog and Cocktails #HonestNoBS Data podcast was just ranked #9 on the list of the top 100 data science podcasts! Thanks to all our listeners and guests!!
www.millionpodcasts.com/data-science...
www.millionpodcasts.com/data-science...
February 26, 2025 at 4:01 PM
This is cool Catalog and Cocktails #HonestNoBS Data podcast was just ranked #9 on the list of the top 100 data science podcasts! Thanks to all our listeners and guests!!
www.millionpodcasts.com/data-science...
www.millionpodcasts.com/data-science...
Reposted by Juan Sequeda
And I love the big shoutout @juansequeda.bsky.social gives to Amalia Child, and her article "The Five Laws of Data Enablement"
Read it here: locallyoptimistic.com/post/the-fiv...
Read it here: locallyoptimistic.com/post/the-fiv...
The Five Laws of Data Enablement: How the father of library science would make his data team indispensable - Locally Optimistic
In 1931, S. R. Ranganathan established five laws of librarianship that any modern data leader would be wise to embrace.
locallyoptimistic.com
February 5, 2025 at 2:34 PM
And I love the big shoutout @juansequeda.bsky.social gives to Amalia Child, and her article "The Five Laws of Data Enablement"
Read it here: locallyoptimistic.com/post/the-fiv...
Read it here: locallyoptimistic.com/post/the-fiv...
Reposted by Juan Sequeda
@olesenbagneux.bsky.social and @jtalisman.bsky.social gave LIS such amazing representation at Data Day Texas this year in their talks, a trend I am sure will continue.
February 5, 2025 at 2:33 PM
@olesenbagneux.bsky.social and @jtalisman.bsky.social gave LIS such amazing representation at Data Day Texas this year in their talks, a trend I am sure will continue.
🚀 How to Start Investing in Semantics and Knowledge: A Practical Guide
Today at @datadaytexas.bsky.social
I shared practical advice based on my experience on a topic I’m deeply passionate about: elevating the need of semantics and knowledge in the enterprise
key takeaways from my talk:
Today at @datadaytexas.bsky.social
I shared practical advice based on my experience on a topic I’m deeply passionate about: elevating the need of semantics and knowledge in the enterprise
key takeaways from my talk:
January 25, 2025 at 5:20 PM
🚀 How to Start Investing in Semantics and Knowledge: A Practical Guide
Today at @datadaytexas.bsky.social
I shared practical advice based on my experience on a topic I’m deeply passionate about: elevating the need of semantics and knowledge in the enterprise
key takeaways from my talk:
Today at @datadaytexas.bsky.social
I shared practical advice based on my experience on a topic I’m deeply passionate about: elevating the need of semantics and knowledge in the enterprise
key takeaways from my talk:
Ringing in the new year with my Rosetta Stone socks, the first semantic layer.
Let’s start working towards making 2025 the year of semantics and knowledge
Let’s start working towards making 2025 the year of semantics and knowledge
January 2, 2025 at 3:24 PM
Ringing in the new year with my Rosetta Stone socks, the first semantic layer.
Let’s start working towards making 2025 the year of semantics and knowledge
Let’s start working towards making 2025 the year of semantics and knowledge
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...
“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.
www.wsj.com
December 22, 2024 at 4:38 AM
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...
“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...
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!
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!
December 7, 2024 at 7:40 PM
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!
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...
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.
www.wsj.com
November 26, 2024 at 9:13 PM
“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...
No sh********t!!!
And you are proud of the $ spent to come to that conclusion?
www.wsj.com/articles/tha...
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
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
November 22, 2024 at 12:48 PM
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
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
Thread of my takeaways from the International Semantic Web Conference #iswc2024
@mioana.bsky.social Keynote: Great example of data integration for journalism, highlighting the power of graphs to combine heterogeneous sources like XML, JSON, CSV, and RDF. The approach involves ...
@mioana.bsky.social Keynote: Great example of data integration for journalism, highlighting the power of graphs to combine heterogeneous sources like XML, JSON, CSV, and RDF. The approach involves ...
November 19, 2024 at 7:29 PM
Thread of my takeaways from the International Semantic Web Conference #iswc2024
@mioana.bsky.social Keynote: Great example of data integration for journalism, highlighting the power of graphs to combine heterogeneous sources like XML, JSON, CSV, and RDF. The approach involves ...
@mioana.bsky.social Keynote: Great example of data integration for journalism, highlighting the power of graphs to combine heterogeneous sources like XML, JSON, CSV, and RDF. The approach involves ...
Reposted by Juan Sequeda
November 17, 2024 at 12:46 AM