AI is exposing a hard truth about mergers and acquisitions: technology integration challenges don’t disappear after a deal closes, they get amplified. This article explores why AI often magnifies gaps in data, governance, and access controls, and why successful M&A outcomes depend less on AI adoption and more on building the right foundations first.
Read more to discover why governance, not just technology, is becoming the critical differentiator in AI-powered M&A integration.
Ramji Vasudevan, Head of Health Care & Life Sciences at Altimetrik, writes in Pharmaceutical Market Europe about the need for clear accountability as pharma adopts AI. Drawing on HFS Research with Altimetrik, he argues that people reviewing AI recommendations need the knowledge and authority to question them. He identifies five foundations for effective governance: direction, authority, visibility, […]
As AI agents take on a larger role across the enterprise, traditional approaches to access and identity management need to evolve with them. In Forbes Technology Council, Niraj Nagrani- Chief Data & AI Officer, explains why zero trust must extend beyond human users to AI agents and service accounts, with least-privilege and short-lived access built […]
In an authored article for BankInfoSecurity Asia, Farid Roshan– Global Head, AI-Infused Digital, Altimetrik, explores why scaling engineers alone will not solve the enterprise AI challenge. The article examines why governance, security, observability and enterprise ownership must be built into this architecture from the start. The opportunity is not simply to adopt the biggest model, […]
