Mike Leone @LeoneDataAI
VP & Principal Analyst at Moor Insights & Strategy covering the intersection of data, analytics, and AI. Love bleeding edge tech, Boston sports and family time. Boston, MA Joined June 2013-
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Didn't make it to #HPEDiscover, but I've been watching the announcements. The @HPE agentic AI announcement I'd flag for IT leaders is probably the least flashy one. Tooling that tracks what your AI actually costs and how well it's running. Shared my thoughts with @InformaTTGT @TechTargetNews.
For an event all about unleashing agents, a bunch of what @databricks shipped at #DataAISummit is really about controlling what those agents cost. A year ago the worry was moving too slow on AI. Now it's agent spend running up a bill nobody can explain. Spoke with @VentureBeat about just that.
The reason something like @databricks LTAP matters is that agents hit your data way differently than people do. They read for context, loop, try things, then write back thousands of times you can't predict. Those round trips between operational and analytical systems are where it bottlenecks. More from me in this @InfoWorld piece. #DataAISummit
LTAP might be the boldest swing @Databricks took today, bringing together transactional and analytical into one copy of data on open formats. Plenty have tried to unify OLTP and OLAP, so the new part is one copy with no sync. I just want to know if compaction is quietly that sync. #DataAISummit
@databricks A free AI coworker for every employee is a big promise though. Where is the work running? Still on Databricks compute? Easy to get caught up in the free part. That's how you grow consumption everywhere, but only if it's good enough that people actually keep using it.
Genie One is @Databricks giving every business user an AI coworker for $0 a seat, pointed at all your data wherever it lives. In a tokenmaxxing world, free gets awfully appealing to a lot of folks. It's how it lands on every desk at once. #DataAISummit
Genie Ontology is @Databricks going after a gap that has been flagged for a while, a real context and metadata layer for agents. It pairs curated business definitions with an ontology that learns from real usage. The thing I still want proven is the validation loop. #DataAISummit
Unity AI Gateway is @Databricks running the Unity Catalog playbook again, now for agents. Every model, agent, and tool through one governance plane, and the agent only gets the access its user has. Same bet they keep making, and it keeps working. #DataAISummit
On the ground and getting settled for the @databricks keynote at the #DataAISummit. Off we go!
Spending some time today with @NetApp at an analyst strategy summit. Love these smaller, intimate events.
@Snowflake And it's the interoperability play. Horizon Context spans PostgreSQL, SQL Server, Tableau, Power BI, dbt. Same business definitions across the whole data estate. That adds a whole lot of substance to @Snowflake's openness story.
Biggest announcement here at #SnowflakeSummit is @Snowflake's Horizon Context. May be a hot take, but I'll defend it.
Most agentic AI failures trace back to ungoverned context. CoCo and CoWork are great agents. Horizon Context is the catalog-level business context that makes them trustworthy. Defensible agents need a defensible foundation.
@Snowflake CoWork is what happens when you build a productivity tool from the data foundation up. Different starting point than most other agents in this fight that started at the productivity layer. #AgenticAI #SnowflakeSummit
Been tracking Cortex Code's product evolution for over a year. Today's rebrand to @Snowflake CoCo packs an Agent SDK, Desktop app, and scheduled execution. CoCo is now a platform for building agents on top of governed enterprise data. #SnowflakeSummit
Ready to rock Day 2 at #SnowflakeSummit. Lots of announcements today from @Snowflake. Will do my best to cover the big ones.
@Snowflake Good news is I think the market is catching up based on what we saw in their last quarter. So much interoperability talk today too. Cool to see.
I've watched @Snowflake get hammered on 'open' for years. The Iceberg and Polaris work since 2024 is the actual answer to that critique, and most of the market is still grading them on 2023 vibes.
Sean Kerner @TechJournalist
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Eye on Tech | TechTar... @EyeOnTech_TT
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