Forbes Councils member Jay Limburn reports that AI has fundamentally altered the economics of bad data, making the cost of poor data quality significantly higher and the value of fixing it greater. Th…
Terry Goertz, a Forbes Councils member, argues that healthcare's midcycle revenue cycle management is the ideal proving ground for AI, citing the complexity of claims adjudication and the significant …
Stu Sjouwerman, a Forbes Councils member, outlines seven rules for evaluating voice AI research platforms, emphasizing the need for businesses to carefully assess these tools for consumer insights. Th…
Boris Kontsevoi, a Forbes Councils member, argues that generative AI is the latest chapter in an 80-year history of programming automation, tracing the evolution from early tools to modern AI-assisted…
Forbes Councils member Ido Susan argues that the future of AI infrastructure is heterogeneous, with specialized silicon becoming the norm and software maturing to support it. Susan notes that inferenc…
Organizations will struggle to measure business results until they can clearly demonstrate where and how agentic AI impacts workflows, according to Ashwin Gaidhani, a Forbes Councils member writing fo…
Forbes Councils member Osman Koc argues that companies should use AI to analyze customer feedback and feature requests to ensure they are building products users actually want, rather than relying on …
Forbes Councils member Dimitar Dimitrov reports that four manufacturing AI use cases deliver measurable returns, while one does not, urging companies to evaluate AI projects by the decisions they impr…
Forbes Councils member Laila Burns questions who should fund the extensive data collection and training required for advanced robotics, noting that a single impressive robot demonstration often relies…
Forbes Councils member Aron Semle argues that industrial environments are not truly connected from an IT perspective, and advocates for creating a digital backbone to enable AI-driven manufacturing.…
Forbes Councils member Nagesh Nama describes an agent-native pharmaceutical company that rebuilds its organizational chart around a companywide context graph rather than bolting AI onto existing struc…
Forbes Councils member Shreyans Mehta argues that enterprises must govern AI agents already operating inside their organizations by treating each agent as a first-class identity with a unique identity…
Bill Wong, a Forbes Councils member, reports that the transformation of data centers into AI factories is central to what many call an industrial revolution of intelligence.…
Forbes Councils member Andy Lonsberry argues that the AI race will be won on the factory floor, where physical AI can unlock work previously considered too complex or variable to automate.…
Forbes Councils member Prajkta Waditwar argues that every AI prompt is a procurement decision, introducing the concept of Token-as-a-Service (TaaS) to help businesses connect AI spending to measurable…
Forbes Councils member Imran Aftab urges enterprises to rethink AI as a digital workforce, focusing on understanding AI unit economics rather than merely cutting costs. He suggests that companies shou…
Forbes Councils member Sreedhar Peddineni argues that AI-driven go-to-market transformation requires unlocking revenue capacity, not just productivity, because AI has broken the historical correlation…
Ankur Pal, a Forbes Councils member, shares six lessons from two years of building an AI adoption program, emphasizing that executive buy-in is often the easy part. The lessons focus on practical chal…
Forbes Councils member Ravi Nemalikanti argues that in banking AI, governance is the product, asserting that the competitive advantage lies not in proprietary data but in permissioned workflow context…
Forbes Councils member Chhaya Methani argues that enterprise AI needs a new approach to evaluations, emphasizing that a scalable eval harness can catch regressions before they reach production, enabli…