With the launch of Lakehouse AI today, it's getting into vector search for data inside Unity Catalog—which it wants to be an ultimate source of truth for all company data. It's continuing to add new pieces of the modern data stack seemingly weekly to its vertical platform.
@mattlynley
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Databricks Re-bundles the Fragmented Modern Data Stack
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In nearly every industry we go through the same process: bundling, then un-bundling, then re-bundling that un-bundling, then all over again. The modern data stack created an enormously fragmented network to manage new data use cases. Now Databricks is looking to re-bundle it.
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AI Content Flood, Brand Impact, Stability Departures, Redpanda Funding
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Stories featured from @jjvincent (crap AI content flooding the web), the @NewsGuardRating team (brands unintentionally advertising against AI content), @rachelmetz (Stability AI departures), @ron_miller (streaming data startup Redpanda raises $100M)
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ML User Acquisition: Competing Strategies Among Major Companies
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Which strategy wins out in the end is still an open Q. And many companies that use one also use the other. But they are still both looking to acquire ML users with somewhat different philosophies (and DNA to go with it)
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MosaicML’s Infrastructure Enables Seamless MPT-30B Model Training
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One of the big selling points for MosaicML was its infrastructure that allows enables companies to train complex models without any major hiccups. It launched its model MPT-30B with the same infrastructure and chief scientist @jefrankle said faced it saw no issues in training.
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MosaicML Acquisition: $400M Valuation and VC Returns
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MosaicML, from what I understand, was looking to raise at a $400M valuation earlier this year. That led into conversations w/ DB and its acquisition. It's also an enormous outcome for its investors: Lux, Maverick, Future, Playground Global, and others.
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Databricks Acquires MosaicML to Lower ML Model Development Costs
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Databricks, meanwhile, wants to build tools to enable companies to build machine learning models from scratch and serve them. That end-to-end is reinforced by its acquisition of MosaicML, which aimed to bring down the cost of building custom ML models from scratch for companies.
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Snowflake launches Snowpark Container Services for ML applications
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Snowflake said it was launching Snowpark Container Services, which enables its users to deploy native ML apps like Hex. It's leaning heavily on partners and building tools to try open the door to a variety of companies attacking problems it COULD attack, but isn't interested.
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Snowflake and Databricks Intensify Rivalry with Major Moves
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Snowflake and Databricks' rivalry is entering a new chapter as they both made substantial announcements this week: Snowflake with a series of product announcements, and Databricks with its $1.3 billion acquisition of MosaicML.
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Startups Recruit Google and Meta AI Talent with Impact Pitches
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The pitch for those startups wooing Googlers and Meta employees is pretty straightforward: you get to work on problems that have massive impact under really novel constraints, and you don't need the firepower you might have originally needed at Google/Meta/Etc.