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@pietervaneverdingen@mastodon.nl

@wirecaster

Data Architect at the Dutch National Police (NP), Community & Innovation Lead at Platform Linked Data Netherlands @linkeddatanl (PLDN)

The Netherlands Katılım Haziran 2009
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Andrew Ng
Andrew Ng@AndrewYNg·
AI agents are getting better at looking at different types of data in businesses to spot patterns and create value. This is making data silos increasingly painful. This is why I increasingly try to select software that lets me control my own data, so I can make it available to my AI agents. Because of AI’s growing capabilities, the value you can now create from “connecting the dots” between different pieces of data is higher than ever. For example, if an email click is logged in one vendor’s system and a subsequent online purchase is logged in a different one, then it is valuable to build agents that can access both of these data sources to see how they correlate to make better decisions. Unfortunately, many SaaS vendors try to create a data silo in their customer’s business. By making it hard for you to extract your data, they create high switching costs. This also allows them to steer you to buy their AI agent services — sometimes at high expense and/or of low quality — rather than build your own or buy from a different vendor. Unfortunately, some SaaS vendors are seeing AI agents coming for this data and working to make it harder for you (and your AI agents) to efficiently access it. One of my teams just told me that a SaaS vendor we have been using to store our customer data wants to charge over $20,000 for an API key to get at our data. This high cost — no doubt intentionally designed to make it hard for customers to get their data out — is adding a barrier to implementing agentic workflows that take advantage of that data. Through AI Aspire (an AI advisory firm), I advise a number of businesses on their AI strategies. When it comes to buying SaaS, I often advise them to try to control their own data (which, sadly, some vendors mightily resist). This way, you can hire a SaaS vendor to record and operate on your data, but ultimately you decide how to route it to the appropriate human or AI system for processing. Over the past decade, a lot of work has gone into organizing businesses’ structured data. Because AI can now process unstructured data much better than before, the value of organizing your unstructured data (including PDF files, which LandingAI’s Agentic Document Extraction specializes in!) is higher than ever before. In the era of generative AI, businesses and individuals have important work ahead to organize their data to be AI-ready. P.S. As an individual, my favorite note-taking app is Obsidian. I am happy to “hire” Obsidian to operate on my notes files. And, all my notes are saved as Markdown files in my file system, and I have built AI agents that read from or write to my Obsidian files. This is a small example of how controlling my own notes data lets me do more with AI agents! [Original text: deeplearning.ai/the-batch/issu… ]
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Interoperable Europe
Interoperable Europe@InteroperableEU·
Preparations for our flagship event #SEMIC2025🎇are well underway! Have a look at our recently published agenda and book your spot! Can't make your way to Copenhagen? Remember you can also register to follow the conference online. 👉 link.europa.eu/CXPj6H Vi ses snart! 🇩🇰
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Utonomy
Utonomy@jouwid·
Your data is worth more than you think. 💻 Every click, search, and cookie builds a profile — often sold to the highest bidder. We believe that should be transparent, fair, and in your control. That’s what we’re working on at Stichting Nederlandse Datakluis.
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SEMANTiCS Conference
SEMANTiCS Conference@SemanticsConf·
🎉 The Semantic Web 2025 workshop and poster proceedings are now online! We are delighted to share that the proceedings are freely accessible on CEUR-WS: ceur-ws.org/Vol-4064/ A big thank you to all contributors, reviewers, and organizers who made this possible!
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@[email protected]@wirecaster·
Excellent presentation by Stefaan Verhulst about rethinking data stewardship and what shifts are needed to achieve the 4th wave of open data with a FAIR-R Commons approach to make structured and unstructured data much more usable, interoperable and ready for AI #ENDORSE2025
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EU Publications
EU Publications@EUPublications·
We are live at #ENDORSE2025 with our moderators @DaveKeating and @cwburnstorm. Not registered? Follow the livestream! ➡️link.europa.eu/cyxxGN 📽️
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EU Publications@EUPublications

#ENDORSE2025, the European Data Conference on Reference Data and Semantics, starts TODAY! Join us online for Day 1 of knowledge-sharing about transforming data into action across borders and languages using reference data and #AI. Join the livestream: link.europa.eu/cyxxGN 📽️

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