venturebeat
Why CIOs must lead AI experimentation, not just govern it

The drumbeat for AI is deafening. We’re surrounded by a mix of hype, fear and intense pressure to do something with this technology that seems to be advancing at the speed of light. For CIOs and enterprise technology leaders, the path forward can seem murky and fraught with the risk of missteps. But I believe the greatest risk isn't getting it wrong; it's waiting for a “perfect” AI strategy while the world races ahead. Real impact with AI doesn't start with flawless, grand designs. It begins with access, trust and a commitment to hands-on learning.My journey with technology, even before my corporate career, has been a constant lesson in navigating the challenges and opportunities of innovation. I remember experimenting with early expert systems, which led to my first v [...]

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venturebeat
Salesforce Research: Across the C-suite, trust is the key to scaling agentic AI

Presented by SalesforceIn 2025, Salesforce conducted a series of C-suite research studies to capture if and how top decision-makers are building an agentic AI strategy. While the research shows positi [...]

Match Score: 84.16

venturebeat
Research finds that 77% of data engineers have heavier workloads despite AI tools: Here's why and what to do about it

Data engineers should be working faster than ever. AI-powered tools promise to automate pipeline optimization, accelerate data integration and handle the repetitive grunt work that has defined the pro [...]

Match Score: 49.16

venturebeat
While everyone talks about an AI bubble, Salesforce quietly added 6,000 enterprise customers in 3 months

While Silicon Valley debates whether artificial intelligence has become an overinflated bubble, Salesforce's enterprise AI platform quietly added 6,000 new customers in a single quarter — a 48% [...]

Match Score: 47.21

venturebeat
Why “which API do I call?” is the wrong question in the LLM era

For decades, we have adapted to software. We learned shell commands, memorized HTTP method names and wired together SDKs. Each interface assumed we would speak its language. In the 1980s, we typed � [...]

Match Score: 42.37

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‘AI is tearing companies apart’: Writer AI CEO slams Fortune 500 leaders for mismanaging tech

May Habib, co-founder and CEO of Writer AI, delivered one of the bluntest assessments of corporate AI failures at the TED AI conference on Tuesday, revealing that nearly half of Fortune 500 executives [...]

Match Score: 42.22

Destination
Engadget Podcast: iPhone 16e review and Amazon's AI-powered Alexa+

The keyword for the iPhone 16e seems to be "compromise." In this episode, Devindra chats with Cherlynn about her iPhone 16e review and try to figure out who this phone is actually for. Also, [...]

Match Score: 41.18

venturebeat
The trust paradox killing AI at scale: 76% of data leaders can't govern what employees already use

The chief data officer (CDO) has evolved from a niche compliance role into one of the most critical positions for AI deployment. These executives now sit at the intersection of data governance, AI str [...]

Match Score: 37.86

venturebeat
What enterprises should know about The White House's new AI 'Manhattan Project' the Genesis Mission

President Donald Trump’s new “Genesis Mission” unveiled Monday is billed as a generational leap in how the United States does science akin to the Manhattan Project that created the atomic bomb d [...]

Match Score: 36.27

venturebeat
Chronosphere takes on Datadog with AI that explains itself, not just outages

Chronosphere, a New York-based observability startup valued at $1.6 billion, announced Monday it will launch AI-Guided Troubleshooting capabilities designed to help engineers diagnose and fix producti [...]

Match Score: 35.94