Numbers Station AI

Business intelligence tools are limited. Analytics agents are the future. And it's just the beginning. ?? Check out our demo below! Full release on our blog:?https://lnkd.in/g3caKRkM

New agents are being built daily, but how many of them actually work in production? Co-founder and Chief Scientist Ines Chami pulls back the curtain on how we're doing exactly that at Numbers Station AI. ?? Join us at the AI Agents In Production virtual conference and learn how to build real-world data analytics powerhouses. We'll dive into: ?? Real examples of AI agents streamlining analytics workflows ?? Practical integration strategies that actually work ?? How we've slashed analysis time from days to minutes ?? Common pitfalls to avoid (learned the hard way!) ?? 10:15-10:40am PT, Nov 13 ?? https://lnkd.in/eVbTcatn ?? Prosus Group MLOps Community Hugging Face Stack Overflow OpenAI

Mark your calendars!! Very excited to announce that Amit Shah from JLL, joined by our Founding Product Manager Vishal M., will be hosting a discussion at API World to showcase how JLL leveraged Numbers Station to enhance their commercial real estate (CRE) analytics. ???? Learn how JLL is establishing their AI strategy within analytics, and the success they’ve achieved by incorporating Numbers Station. ???? By leveraging AI agents to revolutionize production-level analytics workflows, enterprises like JLL are supercharging data-driven decisions across their product portfolio and business lines. ?? Key highlights: ???? Build production-ready AI agents for data workflows ?? Real-world case study from JLL's analytics transformation ??? Seamless integration with existing tools (dashboards, databases, dbt) Details: ?? November 7, 2024 ?? Santa Clara Convention Center ?? 11:30-11:55am PT Whether you're exploring AI implementation or scaling your data capabilities, join us to see the future of AI-powered analytics in action! ??

???? Ever wrestled with SQL that needs to adapt across data warehouses? At Numbers Station, SQLGlot is our secret weapon, handling the heavy lifting of parsing, transforming, and unifying SQL across dialects. Dive in as Maureen Daum breaks down how this powerhouse library keeps our SQL analysis sharp and our codebase streamlined! https://lnkd.in/gkeuJpd8

?? Thrilled to announce: Our Co-founder & Chief Scientist Ines Chami is taking the stage at Open Data Science Conference (ODSC) West this October 30 to reveal how we're revolutionizing data analytics with AI agents! We'll explore: ?? Practical analytics use cases from dashboard search to automated actions ??? Building SQL agents from the ground up ?? Architectural considerations for production-level LLM integration ?? Knowledge Layer implementation for business context From unified search over all your data sources to custom-built analytics agents for your enterprise—discover how Numbers Station is turning cutting-edge LLM technology into real-world productivity gains. Don't miss this game-changing session! Register now. ??

Still reminiscing over #SFTech Week and our "Harnessing AI for Relational Data: Industry and Research Perspectives" event! ?? Had a great time hosting this event with fellow industry and academic leaders and discussing the current state of AI for relational data, challenges, and the crucial role of human expertise in future data analysis/ML systems. Till D?hmen (MotherDuck) — Small LMs in data processing Laurel Orr (Numbers Station AI) — Agentic systems for end-to-end analytics Jure Leskovec (Kumo.AI) — Deep learning for tabular ML on relational DBs Madelon Hulsebos (Centrum Wiskunde & Informatica) — Retrieval for structured data And panelists Shreya Shankar (University of California, Berkeley) and Bryan Bischof (Hex). Can't wait to see everyone in the next one!

Had a great time engaging with data practitioners on harnessing AI for relational data. Traditional ML techniques are ripe for transformation and Generative AI is going to change what and how much we can do with data. #sftechweek MotherDuck Numbers Station AI

This meetup was our first event on AI for Relational Data where we focused on industry insights and intersections with research. We had great talks on small LMs in data processing pipelines by Till D?hmen MotherDuck, how agentic systems can do end to end analytics by Laurel Orr Numbers Station AI, deep learning can serve tabular ML use-cases over full relational databases by Jure Leskovec Stanford University Kumo.AI, and I shared our work on retrieval for structured data done at University of California, Berkeley. Fascinating to see where we stand with AI for relational data but we also discussed the main challenges in these systems, and focused on the importance of human expertise and interactivity in future data analysis and ML systems during the panel where Bryan Bischof and Shreya Shankar chimed in. Thanks to WeWork and Ryan Boyd ?? MotherDuck for co-org, hosting and sponsoring!! Also a perfect primer for the program at the third Table Representation Learning workshop to be held at NeurIPS 2024 in Vancouver. We just released the notifications and accepted 59/82 papers, a sneak peek to be found at: https://lnkd.in/gPcq-Mkp. Looking forward to this!!

?? Highlights from #SFTechWeek! ?? Our cofounder, Jure Leskovec, joined as a panelist at?"Harnessing AI for Relational Data: Industry and Research Perspectives,"?an event hosted by MotherDuck, CWI Software, Numbers Station AI , and WeWork. The discussions explored how AI is transforming the use of structured data like tables and relational databases in enterprise settings. #AI #RelationalData #DataScience #TechInnovation

Fantastic meeting everyone at our #SFTechWeek trivia night & happy hour. ?? Looking forward to more insightful discussions at our next event! Your hosts, Numbers Station AI, SambaNova Systems, Ramp & Together AI ??