Databricks has remade its image into an AI company and has published research on the cost savings of open weight AI models ...
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The price is wrong: AI cost calculation has to consider task completion rates, not just token costs
When it comes to AI services, you don't necessarily get what you pay for. It turns out that AI models with expensive tokens ...
Dun & Bradstreet announced it is delivering agentic credit and portfolio management workflows, leveraging the D&B Commercial Graph™, available through the Databricks Marketplace and Databricks ...
Mid-July’s data center news cycle revealed an industry accumulating capital, land and gigawatts at extraordinary speed—while ...
Salesforce’s acquisition of Informatica shifts the data foundation from being strategic to more structural, as the customer ...
When Databricks claimed to have cracked an age-old database problem, it came with a clear marketing message: "One data, zero compromises, zero copies." Inevitably, that led engineers to search for ...
AI models without strong business context risk costly errors, but vendor approaches to “context” vary. Enterprises must take ...
Celonis is bringing its Process Intelligence Forum to Australia for the first time, with a Sydney event on 21 July and a ...
Data lakehouses offer a solid footing, but when agents access the data autonomously, enterprises need to consider security, access controls, audit trails, and semantic context.
Inkling by Thinking Machines Lab, the startup founded by former OpenAI CTO Mira Murati, has become the first open weights ...
Sports provides a visible example of real-time enterprise execution, revealing how ERP, supply chain, data, security and AI work together to drive outcomes.
Mutual fund data reveals steep markdowns in private software firms as AI disruption forces Wall Street to face hidden losses ...
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