Databricks: People and Processes Win Enterprise Deals — SkimNews
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- Tavakoli-Shiraji said people and processes matter more than having the best technology; early Databricks deals fizzled because the startup was unprepared for legal, contractual and security questions, while one prospective buyer had already tied his career to a competitor.
- Microsoft formed an Azure cloud partnership with Databricks after the startup failed to land a UBS meeting; Microsoft's sales team then booked meetings and advocated for Databricks, which was suddenly “pulled everywhere.”
- Databricks, now valued at $190 billion and used by more than 70% of the Fortune 500, sells startups’ products under its own terms and cybersecurity setup; examples include Hightouch, Addepar and Tecton, which it later acquired.
- Tavakoli-Shiraji grouped enterprise AI objections into four “Cs” — context, choice, cost and control — spanning company-specific training, model switching, operating expense and safeguards for sensitive information.
- Tavakoli-Shiraji said 99% of the CIOs he talks to remain at AI maturity levels one or two despite self-assessing as three or four; level one means employees merely have ChatGPT access, and meaningful deployment will take many years.
- IBM AS/400 systems still run in banks, Tavakoli-Shiraji said, because their code was poorly understood; AI agents can now decompose that code, opening opportunities to add modern interfaces or replace the legacy systems.
Why it matters: Databricks’ $190 billion valuation and more than 70% Fortune 500 penetration show the scale reached after it paired technology with distribution and procurement support. But with 99% of the CIOs Tavakoli-Shiraji meets still at AI levels one or two, the nearer sales challenge is deployability, governance and modernization, not autonomous-agent promises.
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