VP & Principal Analyst at Moor Insights & Strategy covering the intersection of data, analytics, and AI. Love bleeding edge tech, Boston sports and family time.

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🔐 New research from VP & Principal Analyst Michael Leone (@LeoneDataAI) examines how confidential AI brings models to regulated data while protecting records and model weights. The brief explores @VAST_Data Enclave and four requirements buyers should use to evaluate confidential enclaves. moorinsightsstrategy.com/res… @PatrickMoorhead @VAST_Data
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Today, @VAST_Data launched DataEnclave, bringing confidential AI to regulated companies that want top-tier models on data that can't leave the building. I wrote a research brief on why the model has to come to the data. Link below.
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When anyone can build an app, the hard part becomes knowing which one to trust. @tableau's had years of practice there. More in a @TechTargetNews piece I'm quoted in. Link below.
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Everybody left #splunkconf26 talking about agent observability. Machine Data Lake is the announcement @splunk customers will feel in their budgets first. Can't convince me otherwise.
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First announcement from the #splunkconf26 keynote. @Cisco and @NVIDIA expanded their partnership and Splunk AI now runs where your machine data already sits.
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In Denver with @splunk and @Cisco for #splunkconf26. Bringing three questions: 1. Does anyone know what their agents actually cost? 2. Can anyone tell an attacked agent from a confused one? 3. Will analyzing data where it sits hold up at scale? Come say hi! More to come this week.
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I've watched @Cloudera argue for years that most enterprise data would stay put. A lot of the market disagreed. Now they've launched a flagship product into an argument they already won. It's a pretty sweet spot to be in. I covered where it leaves them in my latest @MoorInsStrat Field Note. Link below.
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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.
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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
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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
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Ready for the #SnowflakeSummit keynote!
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I've joined @MoorInsStrat as VP & Principal Analyst covering data, analytics, governance, and storage — and where AI intersects them all. Grateful to learn the playbook from @PatrickMoorhead and the MI&S team. Sat down with Erin Zehr for my first piece on why I made the move: moorinsightsstrategy.com/the…
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Excited for the keynote with @NetApp at #NetAppINSIGHT
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Great research project working with @HitachiVantara on enterprise #GenAI strategy and adoption. Regardless of an organization's approach...#cloud or #onpremises, commercial or open-source #LLMs, #finetuning or #RAG...one element remains paramount in the #GenAI movement: TRUST.
🔍📊 The report is in 📄 In partnership with @ESG_Global, we surveyed 800 #IT leaders to shed light on enterprise #GenAI and top barriers to successful adoption. Click through ➡️ for a glimpse into the eye-opening findings & get the full survey results: htchivantara.is/4cvKDsl
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@Qlik announced Qlik Answers, which delivers GenAI-driven answers within their platform with all the security and governance required. I really like their focus on unstructured data too, with so much untapped knowledge in the business from unstructured content. #QlikConnect
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My favorite announcement from #QlikConnect was the @Qlik Talend Trust Score for AI. They are extending their #data quality, #metadata & #governance capabilities into dashboards with metrics on #diversity, #security, timeliness, discoverability, #accuracy, and #LLM readiness.
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