Kumo.AI

Bonjour! We’re thrilled to announce that we’ll be at the Tech for Retail event in Paris on November 26–27! ✨ Join us at Booth B104 to see how KUMO AI is reshaping the retail landscape! Discover how our solution uses #AI to deliver future-focused insights and elevate product recommendations. 🚀 👋 Stop by for live demos and meet our Kumo.AI team, ready to show you how #KUMO can boost your business growth. 🎟️ Get your free badge and learn more about the event here: https://lnkd.in/dPrBYD-n

📢 Just 2 days to go! Join Jure Leskovec, Co-Founder and Chief Scientist at Kumo AI, for his highly anticipated talk at the Open Data Science Conference (ODSC): 💡 "Data Science is Dead" 📅 Date: October 30 🕙 Time: 10:25 AM PDT In this thought-provoking session, Jure will challenge the norms of data science and share forward-thinking insights into the field's evolving role. Don’t miss this chance to broaden your perspectives on the future of data science! 🔗 Register here: https://lnkd.in/drjNivMk About ODSC: Since 2015, ODSC has been the go-to conference for AI and data science experts, featuring immersive workshops, expert-led sessions, and unbeatable networking. Whether you’re honing technical skills, aligning AI with business goals, or exploring new career paths, ODSC offers unparalleled opportunities for learning and growth. More details: https://lnkd.in/gpPS-Dq

How is Relational Deep Learning transforming AI? The latest episode of #DataBrew explores how Relational Deep Learning automates feature engineering, boosts predictive modeling, powers fraud detection, and simplifies complex data with graph neural networks. Watch the full convo with, Jure Leskovec, Co-founder of Kumo.AI and Stanford CS Professor, and Databricks' Brooke Wenig and Denny Lee👇

How is Relational Deep Learning transforming AI? The latest episode of #DataBrew explores how Relational Deep Learning automates feature engineering, boosts predictive modeling, powers fraud detection, and simplifies complex data with graph neural networks. Watch the full convo with, Jure Leskovec, Co-founder of Kumo.AI and Stanford CS Professor, and Databricks' Brooke Wenig and Denny Lee👇

A Big Thank You from the Marketing Analytics & Data Science (#MADS) Conference! On October 22 and 23, we had the privilege of connecting with many of you at MADS, where insights and innovation come together. A special thank you to our Kumo AI team—Jon Russell, Blaž Stojanovič, and Yiwen Yuan—for representing us with such enthusiasm. If you're eager to learn how data can drive better marketing ROI, request a demo today and discover how Kumo AI can help predict your next customer action and behavior. 🔗 Request a Demo: https://kumo.ai/apply #MADSConference #MarketingAnalytics #CustomerInsights #KumoAI

Session Spotlight 🚨 Join Jure Leskovec as he presents "Data Science is Dead" at the Open Data Science Conference (ODSC) 💻 📅 October 30 🕙 10:25 AM PDT Don't miss this insightful session where Jure will challenge the status quo and explore the future of data science. Get ready for a thought-provoking talk that will reshape your perspective. Register: https://lnkd.in/drjNivMk

Earlier this week I had a board meeting with one of our amazing companies. Something was weighting heavy on the founders. As one founder put it, "I think Gen AI is going to fall off a cliff." The statement was backed by experience. This founder has been in AI for over a decade. The founder has lived through AI cycles. What came next was a discussion about previous AI waves. The current AI wave, Gen AI, isn't the first. And it won't be the last. There have been at least three waves of AI this century: Predictive (2000s-2013), Descriptive (2013-2021), and Generative (2021-now). Each had "hype cycles" and the first two are now past those cycles and into their most productive years (see Gartner hype cycle image for the lingo). Predictive: This "OG" AI takes in numbers and generates numbers. The hype around Predictive AI died out over a decade ago. But, my guess is that predictive AI has generated over $5T in hardened market cap. Consider Meta. In 2021, iOS 14 issued new privacy policies. When Meta lost that ability to track many users, investors worried about their ad model. Between Sept 2021 and Nov 2022, Meta lost 75% of its market cap (image below), over $650B lost. However, their huge investment in Predictive AI actually resulted in even better predictions in some cases. Since the low, Meta is up over $1T. Predictive AI may account for a lot of that. Now, consider Google(most search results are based on click-through rankings), Netflix (as much as 75% of what's watched are from recommendation algos), Amazon and others. $5T could be conservative. Descriptive: This AI takes in images / words and generates numbers. My guess is that descriptive AI has generated on the order of $1T in hardened market cap, maybe less. Descriptive AI hype died around 2017. The largest application of descriptive AI is autonomous vehicles. The star public company in this space is Telsa. Consider the market's -8% reaction the day after the robotaxi event this month, about a $50B change in Tesla's market cap, some amount due to autonomy. One could guess that $100B+ of the market cap of Tesla can be attributed to the vision of autonomy in its present and future systems. Another star is Waymo. Tesla and Waymo are just a piece of the descriptive AI revolution. Not to mention thousands of CV and NLP applications in big companies and startups. In five years, my guess is this will be $5T+. Generative AI: This AI takes in images/words and generates images/words. The hype is real for Gen AI. So is the value. But if you sum all the uses up my guess is we don't get close to $100B of sustainable revenue (at a 10x, $1T market cap) yet. My guess is on the other side of hype (10 year vision), Gen AI will be as consequential or more so than Predictive AI ($5T++) but will take a few years. Gen AI builders, buckle up. Keep calm and build. On the other side of whatever doldrums we may face is several decades of great opportunity and trillions in market creation potential. Endure.

Join Jure Leskovec, co-founder and Chief Scientist at Kumo AI, for his highly anticipated talk at the Open Data Science Conference (ODSC): 💡"Data Science is Dead" 📅 Date: October 30 🕙 Time: 10:25 AM PDT In this insightful session, Jure will challenge conventional thinking and offer thought-provoking perspectives on the future of data science. Don't miss this opportunity to gain new insights and rethink the role of data science in the evolving tech landscape. 🔗 Register here: https://lnkd.in/drjNivMk About ODSC: Since 2015, ODSC has established itself as the premier conference for AI and data science professionals, offering immersive workshops, expert-led sessions, and invaluable networking opportunities. Whether you're looking to deepen your technical expertise, integrate AI into your business strategy, or pivot into an AI-driven career, ODSC is the ideal forum for growth and innovation. More details: https://lnkd.in/gpPS-Dq

Data Brew by Databricks is back! In this episode, Denny Lee & I are joined by none other than Jure Leskovec, Professor of Computer Science at Stanford University and Co-founder at @ Kumo.AI to discuss relational deep learning. Spoiler alert: "If your data is in more than 1 table, then you should be using relational deep learning." Enjoy the episode, and stay tuned for more! https://lnkd.in/gVYki3jq

Session Spotlight 🚨 Join Jure Leskovec as he presents "Data Science is Dead" at the Open Data Science Conference! 💻 📅 October 30 🕙 10:25 AM PDT Don't miss this insightful session where Jure will challenge the status quo and explore the future of data science. Get ready for a thought-provoking talk that will reshape your perspective! Register: https://lnkd.in/drjNivMk #ODSC #DataScience #JureLeskovec #AI #BigData #TechEvents