For years, insider risk was framed around worst-case scenarios: malicious employees, stolen data, and damage discovered after the fact. That framing was always incomplete. In the age of AI, it is ...

Mukund Kalmanker, Global Head of Data, Analytics & AI at Apexon, brings over two decades of experience leading large-scale enterprise transformation initiatives, with a career spanning senior ...

There was a time when call centers were built primarily to handle large volumes of customer queries by phone. Today, contact centers have largely replaced them – the operational hubs where businesses ...

New research finds AI can pass as human until it remembers ‘too well’, with simple memory tests exposing chatbots by their lack of normal human errors. Researchers from Princeton have developed a ...

Each year, millions of people flock to social media and dating apps in search of connections. Unfortunately, fraudsters will be right behind them. The rise of AI technologies such as deepfakes and ...

As we enter the fourth consecutive “year of AI,” many organizational leaders are considering two seemingly opposite questions. Firstly, is generative AI the most transformative technology of the 21st ...

Copenhagen-based Corti has introduced a new AI system designed to tackle one of healthcare’s most persistent operational challenges: medical coding. The company’s latest release, Symphony for Medical ...

Cognichip has raised a $60 million Series A round led by Seligman Ventures, pushing its total funding to $93 million and signaling growing momentum behind a new category in semiconductor design: ...

Griffin Parry is the CEO and co-founder of m3ter. This is his second startup having previously co-founded and led GameSparks, a cloud services company acquired by Amazon in 2017, after which he spent ...

AI has been a dominant force over recent years, reshaping the fundamentals of how work is done. Looking forward, the outlook ...

AI and agentic AI have been buzz words in the enterprise over the past few years, and the amount of investment and pace of the market is a key indicator of rising AI expectations. In early 2026 alone, ...

Big AI’s costs and restrictions, as well as its influence on hardware costs, are forcing users to build their own systems – just as rising regulation threatens to shut that ‘shadow AI economy’ down.