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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🔐 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/research-paper… @PatrickMoorhead @VAST_Data
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.
@tableau @TechTargetNews @ericavidon's piece on Tableau at Dreamforce techtarget.com/data-technolog…
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.
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-infrastruct…
@splunk Got into MDL and Splunk's new pricing with @PariseauTT for her @TechTargetNews story techtarget.com/it-infrastruct…
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.
First announcement from the #splunkconf26 keynote. @Cisco and @nvidia expanded their partnership and Splunk AI now runs where your machine data already sits.
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.
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…
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.
More from me in @PariseauTT's latest at @TechTargetNews techtarget.com/it-infrastruct…
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.
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-technolog…
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.
@Equinix called its new inference program neutral by design and @nvidia bought @huggingface and promised not to touch the neutrality. Neutrality is a product now, and companies are owning it.
Off we go at the @Equinix Analyst Summit.
@awscloud @duckdb 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/field-notes/aw…
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