LAS VEGAS — AI everywhere was the big theme at CES this week, with the technology showing up in nearly every application and device, no matter whether users actually want it or not. Beyond AI-enabled refrigerators and smart glasses, the transformative story of this year’s show actually had an enterprise bent: the arrival of physical AI. That’s the

Automation is transforming IT service management (ITSM), moving service desks from reactive, manual workflows toward systems that can intelligently route, prioritize, and resolve issues with minimal human intervention. Recent research from Freshworks found that IT professionals lose nearly seven hours every week—almost a full workday—to fragmented tools and overly complicated work processes. Implementing ITSM automation

The pressure for businesses to leverage generative AI (genAI) or agentic AI is massive, but when I hear executives complaining that there is no way to compete against businesses leveraging the fast-moving technology, I’m forced to chuckle.  There is a powerful way to compete against genAI and it’s textbook simple: note all of the problems

Rising labour costs and tighter delivery margins are pushing large platform operators like Grab to look at automation. It’s moved to bring robotics capability in-house by its acquisition of Infermove. Grab operates at a scale where small efficiency gains can have out-sized effects. Its platform supports millions of deliveries in Southeast Asia, many of them

Deloitte’s latest UK CFO Survey presents an improving outlook for large UK businesses, with technology investment – particularly in AI – emerging as a dominant strategy. The survey offers the signal that while macroeconomic and geopolitical risks remain elevated, boards are converging increasingly on digital ability as a primary route to productivity and medium-term growth.

Agentic AI represents a distinct evolution from stateless chatbots toward complex workflows, and scaling it requires new memory architecture. As foundation models scale toward trillions of parameters and context windows reach millions of tokens, the computational cost of remembering history is rising faster than the ability to process it. Organisations deploying these systems now face

Business conversations have moved from email to messaging platforms like WhatsApp, iMessage and Telegram. Updates, quick approvals, and day to day coordination increasingly happen inside message threads, not inboxes. Companies initially adopted enterprise messaging governance to meet compliance obligations. They capture conversations across consumer channels, store them securely, and satisfy recordkeeping requirements. What’s missing is

Responsible AI management and governance are a core priority for Cornerstone, reinforcing its position as an early adopter and leader in achieving ISO and data privacy certifications within the HR tech space Cornerstone OnDemand Inc., a leader in workforce agility solutions, today announced that Cornerstone Galaxy achieved ISO/IEC 42001 certification, the world’s first international standard

New AI Agent Automation eliminates manual reporting, automates complex interoperability tasks, and enables system integration when APIs or technical expertise are not available. 10Bridge (https://10bridge.io), a leader in healthcare data interoperability solutions, today announced the launch of its AI Agent Automation, a technology designed to automate repetitive and complex interoperability workflows across disparate healthcare systems. Healthcare organizations

Collaboration focuses on the development of two advanced edge AI concepts in anesthesiology and neonatal care designed to help improve patient care. NXP Semiconductors N.V. (NASDAQ: NXPI) and GE HealthCare (NASDAQ: GEHC) today announced a collaboration to pioneer new advancements in edge AI innovation leveraging NXP’s long history in secure, high-performance edge processing and GE HealthCare’s