CIOs using multiple AI models need clear rules on who selects which model for each task and how those decisions get remade as ...

Lenovo’s latest Work Reborn report, Leading your workforce to AI triumph, highlights that this is creating a new divide in the workplace. A "two-tier workforce" is emerging, where some employees use ...

The banality of the modern cloud doesn’t mean the technology has stopped evolving. On the contrary, as we begin 2026 (which happens to mark two decades since the launch of AWS, the first major public ...

David has been writing on business and technology for over 10 years and was most recently Managing Editor at Enterpriseefficiency.com. Before that he was an Assistant Editor at MIT Sloan Management ...

Daniel is a leader in Deloitte’s Center for Process Bionics. He brings over 25 years of global experience leading strategy, innovation, product development, customer engagement and process ...

In 2017, Merck was among the companies hit by the NotPetya cyberattack. The malware, linked to Russia and its conflict with Ukraine, caused billions of dollars in damage across the world. The ...

Parker Hannifin has agreed to settle a class action lawsuit related to a March 2022 data breach. As a part of the settlement agreement, the manufacturing company will pay $1.75 million, but it denies ...

This week saw the abrupt shuttering of OpenAI's Sora application, alongside the collapse of its $1 billion Disney partnership. The news drew attention from several corners, with avid users mourning ...

Edge computing is accelerating, pushing more IT into remote locations. That shift has made 2026 a pivotal year to rethink data center deployment. Is a central data center -- or even a central cloud -- ...

Generative AI is the hot topic on everyone’s mind. The possibilities seem endless, and thousands of companies, products, models, and platforms have flooded the market to monetize those possibilities.

AI continues to command attention, yet most organizations are frustrated by the gap between potential and real-world execution. Predictive models forecast demand or detect anomalies, but optimization ...