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
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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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Mike Leone retweeted
🔐 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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@ericavidon's piece on Tableau at Dreamforce techtarget.com/data-technolo…
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Mike Leone retweeted
In news parlance, we call what @Cisco / @splunk did at #splunkconf26 "burying the lede." It was easy to miss a major change to its pricing, which stands to have an immediate impact on #AIdatamanagement, according to @LeoneDataAI.
techtarget.com/it-infrastruc…
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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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Got into MDL and Splunk's new pricing with @PariseauTT for her @TechTargetNews story techtarget.com/it-infrastruc…
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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'd bet money nobody on your team is watching what retrieval costs right now, and the wild part is that it's the thing your agents do all day.
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I like what @databricks is doing here, where they trained a small model to figure out when to stop and when it's got enough to finish a request. Talked it through with @journoanirban for his @InfoWorld piece.
infoworld.com/article/422021…
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Is @Broadcom pulling VDDK a trap or just tying up loose ends? I'm in the loose ends camp. I know that's a not popular answer cause I feel like a lot of folks are still mad. But in my mind, if you were leaving, it's another reason to go. If you're staying, you're not touching it anyway.
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Everyone's reading the @cloudera and @MistralAI deal as a sovereignty story. Sovereignty is the no brainer side of it. Think about being empowered to train a model on data that legally cannot move. Totally different value prop and a very different job. @TechTargetNews piece below.
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Forge is the piece doing that work, pre-training against a governed on-premises estate. @ericavidon's story has the rest with some thoughts from me included.
techtarget.com/data-technolo…
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Agents are about to jack up query costs across the board, and AWS saw the opportunity. More in my latest @MoorInsStrat Field Note
moorinsightsstrategy.com/fie…
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