Today: Microsoft shores up its AI strategy heading into a pivotal year, Meta is getting into the AI SaaS business with the former leader of Salesforce's AI division, and the latest enterprise funding.
Today: OpenAI would rather ChatGPT users spend more time using its tool than other "copilots," HPE rolls out a new supercomputer design, and the quote of the week.
Today: Why enterprise open-source contributors might be the secret weapon against patent trolls, AI models are starting to run into scaling problems, and the latest enterprise moves.
Anyscale is built around Ray, an open-source project that was designed to help AI workloads scale. But in recent years, commercial pressures have forced several companies with similar open-source origin stories to put restrictions on their projects to ward off competition.
In an interview at the Data Cloud Summit, Ramaswamy described how enterprise customers are working with generative AI, outlined growth opportunities for Snowflake's future, and lamented the "insular" culture at Google that denied it the opportunity to lead the generative AI transition.
Certainly, the generative AI craze has been good for C3 AI, but according to chairman and CEO Tom Siebel, it also has the potential to go to a really dark place.
Google announced plans this week to bring its Gemini foundation model into its database strategy, giving administrators new tools to maximize uptime and generate SQL code.
"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."
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.
"When you have way too many companies chasing way too few opportunities, you go through a cycle like this and only the best will survive." McKay thinks Snyk has found a path forward.
Nishita Henry's job involves helping Deloitte's clients find opportunities and avoid problems while operating on AWS. After several years of rapid change for clients that needed a cloud computing strategy, another disorienting time has arrived thanks to the rise of generative AI.
It became clear in 2023 that the incredible growth in enterprise tech spending during the early years of the pandemic was a mirage, rather than a new baseline. Redpoint's Scott Raney isn't sure how quickly the good times will return.
AWS evolved into one of the biggest businesses enterprise tech has ever seen by taking the Home Depot approach; it offers everything companies need to build digital experiences around their businesses, but it's up to you to find it and put it together. However, the market has shifted.
Tom Eggemeier believes that a key product-strategy decision Zendesk made long before most of us had heard the term "generative AI" could spark a rebound in the company's fortunes.
Rowan Trollope started work as the new CEO of Redis earlier this year in February, arguably a low point for enterprise tech growth. Redis hasn't been immune to those trends, but it has also enjoyed the spoils of the generative AI hype cycle.
