Crusoe wants to be the enterprise AI concierge
Today: Why Crusoe thinks enterprises want a catered AI experience, Jensen Huang tanks quantum -computing stocks, and the latest enterprise moves.
Today: after dodging a potential catastrophe, the debate over how to strengthen the open-source software supply chain enters a new chapter, Microsoft 365 is no longer a Teams sport, and the latest funding rounds in enterprise tech.
Today: how business–process automation is changing thanks to generative AI, Adobe tries to thread the needle between AI serendipity and brand safety, and the latest funding rounds in enterprise tech.
RPA is reaching an inflection point as enterprises increasingly look to get more than just productivity gains from their previous investments, and AI enters the chat.
It's getting hard to understand why any company should consider using open-source software released under a traditional license by a venture-backed startup.
Welcome to Runtime! Today: why Redis's latest licensing move marks yet another break with longtime open-source practice, GitHub
Welcome to Runtime! Today: why tech came to a standstill Monday afternoon to watch Nvidia unveil its latest AI chip,
Today: Two data industry legends trot out a new idea for the server operating system, why Microsoft's security lapses could start a customer exodus, and the quote of the week.
Today: Fivetran CEO George Fraser's bet that data connectivity is more important than data residency, Microsoft joins the cloud breakup-fee party, and the latest enterprise moves.
"The more significant decision is, 'what is your strategy for centralizing the data?' Because these data platforms do not do that; they are the place that it gets centralized to, but they do not centralize anything."
Today: Zoom is increasing the use of its own infrastructure after relying on the cloud during the pandemic, Databricks says it is growing faster than its larger rival, and this week's enterprise moves.
Today: AI2 COO Sophie Lebrecht on the importance of true open-source generative AI models, AWS chooses the nuclear option, and the latest funding rounds in enterprise tech.
The most important issue in AI is a lack of open models that could allow researchers — who know surprisingly little about how the generative AI craze that upended the tech industry actually works — to set the parameters of the larger discussions around AI regulation.