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 [...]
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 [...]
Kore.ai on Wednesday launched what amounts to a ground-up reinvention of its core technology: the Artemis edition of its Agent Platform, a system designed to let enterprises build, govern, and optimiz [...]
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 [...]
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% [...]
Presented by NutanixAcross industries, organizations are focused on how to move from AI pilots, proofs of concept, and cloud-based experimentation to deploying it at scale — across real workloads, f [...]
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 [...]
New VB Pulse data shows Microsoft and OpenAI leading enterprise agent orchestration, but Anthropic’s first measurable foothold points to a larger fight over who controls the infrastructure where AI [...]