Today: Databricks floats a new portmanteau for the ever-evolving world of data infrastructure, a widespread Google Cloud outage takes down sites around the world, and the latest enterprise moves.
Today: Amazon CSO Steve Schmidt discusses how AI is changing, and not changing, cybersecurity strategies, OpenAI reportedly finds new computing power in an unexpected place, and the latest funding rounds in enterprise tech.
Schmidt discussed the frequency and style of the attacks Amazon fends off every day, the capabilities that cybersecurity defenders can bring to bear thanks to generative AI, and the potential that machine-generated code could lead to the rise of a new class of software vulnerabilities.
Schmidt discussed the frequency and style of the attacks Amazon fends off every day, the capabilities that cybersecurity defenders can bring to bear thanks to generative AI, and the potential that machine-generated code could lead to the rise of a new class of software vulnerabilities.
Linear started off as an issue-tracking tool helping developers coordinate on eliminating blockers and fixing problems, but has expanded into a product-development system. "We have this fairly simple idea that engineering is really the front line of all this information," Saarinen said.
As worries about the economy accelerate, CIOs are regaining control over sprawling application footprints. According to McDermott, "What's happening is technology is the only way out. It's not kind of, sort of; it's the only way out."
Under Woodside, Freshworks is taking direct aim at ServiceNow, which has been the leading company in several aspects of IT management software for several years. "Three years ago, our product wasn't anywhere near as enterprise-ready as it is today," he said.
Writer has raised $326 million to build a "full stack" approach to generative AI by developing its own LLMs and building application tools around those models. CEO May Habib thinks using synthetic data and a collaborative process will spur enterprise AI adoption.
Most enterprises are still struggling to turn their generative AI experiments into actual production applications. They've done more than 99% of the work, but the last 1% has proven much harder than anticipated, according to AWS's Swami Sivasubramanian.
This era of enterprise software is either the dawn of a new era of corporate productivity or the most hyped money pit since the metaverse. ServiceNow's Amit Zavery talks about the impact of generative AI, how SaaS companies should think about AI models, and his decision to leave Google Cloud.
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."
