data.world

What a great start to the day at #CDOIQ2024! 🎉 Our session, "From Data to Governed Decisions with AI," was a success thanks to our amazing speakers Patrick McGarry (data.world), Justin Magruder (SAIC), Ren Essene (Consumer Financial Protection Bureau), and Dessa Glasser (Global Legal Entity Identifier Foundation (GLEIF)). Don’t miss this afternoon's session with Juan Sequeda (data.world) on "Knowledge Graphs as a Requirement for AI Ready Data and LLM Accuracy." It's a must attend—make sure to add it to your calendar! 📅 View session details and add it to your schedule: https://hubs.li/Q02GYw-R0

Excited to be back CDOIQ again. I'm giving a talk on Wednesday and the takeaway is: Invest and treat knowledge as a first class citizen (the WHAT) But Why? 1. Because we are doing the same thing over and over again (more data, more tech) and expecting different results. That's Einstein's definition of insanity.  2. We need to find a balance between efficiency and resilience in order to address the known use cases of today (efficiency) and the unknown uses cases of tomorrow (resilience)  3. Operational Efficiency: by being efficient and resilient, we can reduce cost, improve productivity, be agile and flexible to deal with those unknown use cases, optimize resources But haven't we been already been investing in knowledge? 1. Yes, but by chance: we find issues when folks complain 2. Yes, but in an ad-hoc manner: it's not someones dedicated task  3. Yes, but inconsistent investment: ups and downs to deal with data quality But why NOW?  Simple: (Gen)AI! This is an opportunity to ride the hype, in order to address the pains we've been constantly been complaining about. If it's not now, then when??? How do you address the trust issues for AI: Accuracy, Explainability and Governance? By investing in Knowledge! How to treat knowledge as a first class citizen? People, Process and Technology, of course :) - Tech: Knowledge Graphs! Your first knowledge graph is your data catalog which brings together the technical and business metadata, building the brain of your organization. Our lab has been pioneering the research on studying how to use Knowledge Graphs to increase LLM accuracy, specifically for structured data. So if the "why now" is (Gen)AI, then this is the motivator to invest in knowledge graphs which provides the context of your organization.   - Process: Follow a methodology. Success is defined by business questions, not technical questions. I'll be talking about our Pay as you go methodology and Iron thread approach.  - People: Have the right people in the room: Business, Data and .. Knowledge Engineers! I'm also excited to host another #HonestNoBS dinner Wednesday night. It's going to be 6 months since we did the last one so it will be great to see how the data world has changed in the last half year. If you are not aware of these dinners, check out the report I wrote about the dinners I hosted in 2023. We can possibly squeeze a few more folks in, so if you are a data leader/executive and want a dinner under chatham house rules, comment below or ping me directly. Links in comments

Unlock the power of decentralized data management with data mesh implementation. This innovative approach breaks down data silos, boosts data access, and accelerates decision-making across your organization. Here's how to get started: https://hubs.li/Q02GNtgW0 Author: Liz Elfman

Join us at #CDOIQ2024 on Wednesday for a deep dive into agile data governance and GenAI! 🚀 In Session 9-A: "From Data to Governed Decisions with AI," you'll learn from industry experts Patrick McGarry (data.world), Ren Essene (Consumer Financial Protection Bureau), Dessa Glasser (Global Legal Entity Identifier Foundation (GLEIF) and Justin Magruder (SAIC) about: 👉 Maintaining data quality 👉 Meeting regulatory standards 👉 Reducing bias in AI 👉 Ensuring security in AI outcomes 🗓️ Wednesday, July 17 | 8:30 am – 9:15 am Don’t miss this essential discussion. Add the session to your calendar here: https://hubs.li/Q02GzN7M0

Exciting to see that folks are speaking our language! Thanks for the mention Neo4j 🚀 Check out our recent benchmark study cited in the blog post: https://lnkd.in/epJMkBQa

In the dynamic realm of content creation, where AI meets human ingenuity, it's still the human collaboration that helps spin raw thoughts into gold and bring words to vivid life. The process of creation involves blending human intuition with AI innovation to create something truly magical. Read on: https://hubs.li/Q02GnSBR0 Author: Jason Guarracino

🚀 Transform your public sector AI! Join data.world and Hakkōda on July 31st for an exclusive webinar. Hear from Patrick McGarry, GM Federal at data.world, and Eric Barton, Director of Data Enablement at Hakkōda, as they cover: 🔹 Improving data governance strategies 🔹 Optimizing your data infrastructure 🔹 Enhancing data quality and enrichment 🔹 Advancing your AI initiatives, even if you haven't started Don't miss this chance to learn from the best in the industry. Register now! 🗓️ July 31st 📍 Register here: https://hubs.li/Q02GdB6w0

Let’s explore the mind-bending vision of AI sage Ray Kurzweil — a transformation that is fast becoming reality — with his new book, “The Singularity Is Nearer: When We Merge with AI” My latest article addresses this incredibly important moment in time for the future of the world and humanity by summarizing my favorite book of this decade:

Missed our last demo day? Don't worry! It's now available to watch on-demand. 🚀 We'll be announcing our next demo day soon, so stay tuned—you won't want to miss it! Watch now on-demand: https://hubs.li/Q02G1k440 And a big thank you to our team that made this happen!: Jeremy Blaney Jason Guarracino Andreas Pumberger Chris Boette Juan Sequeda

As the events season heats up, we've gathered insights from some of the premiere data conferences of 2024 so far. What were the top themes and innovations getting everyone excited? From AI and ML to the growing commitment to open source, here's what industry leaders are discussing, and what lies ahead for the rest of the year. Read on: https://hubs.li/Q02FQR3z0 Author: Liz Elfman