Rick Caccia, a Forbes Councils member, argues that the AI ROI problem is solvable but most companies are solving the wrong problem by focusing on AI models rather than information infrastructure. He e…
Amit Shivpuja, a Forbes Councils member, argues that organizations must strengthen their AI foundations before scaling, comparing unprepared companies to building skyscrapers in Venice. He emphasizes …
Forbes Councils member Nick Burling reports that AI governance is increasingly measured by what an organization can prove, highlighting a data problem where organizations lack the necessary evidence t…
Forbes Councils member Su Belagodu reports that AI projects often fail because human oversight degrades after deployment, and argues that measuring oversight quality is as important as model accuracy.…
Bankim Chandra, a Forbes Councils member, explains how AI can predict fraud before it occurs by analyzing real-time risk intelligence, focusing on understanding the intention behind suspicious payment…
Forbes Councils member Punnam Raju Manthena argues that accountability for AI-powered decisions rests on direction, intent, and approach rather than capability alone, urging organizations to define cl…
Forbes Councils member Manish Gupta argues that as AI takes over software writing, clients will pay for outcomes rather than headcount, forcing firms to shift from measuring success by team size to de…
Nearly half of employees are using AI on work-issued devices without business approval, according to a Forbes Councils article by Keegan Crage. The piece highlights the widespread unauthorized adoptio…
Forbes Councils member Udam Dewaraja outlines a framework for capturing business value from AI, emphasizing that organizations must build a complete, transparent, and trusted cost model to enable chan…
Sandeep Shivam, a Forbes Councils member, argues that explainability is a core requirement for AI in financial services, warning that speed without traceability can bring more exposure than innovation…
Forbes Councils member Matt Ashburn reports that AI is emerging as an unvetted investigator on teams, urging professionals to assess whether they are resistant, reckless, or ready for its integration.…
Forbes Councils member Agustín Guerra reports that in the AI era, services and SaaS are shifting focus toward people, trust, and regulation, with expertise becoming the key to market credibility. Guer…
Forbes Councils member Chris Wade argues that deterministic automation systems are insufficient for handling the growing variance in real-world scenarios, and that AI-driven approaches are necessary t…
Forbes Councils member Prashanthi Kolluru reports that organizations adopting AI agents are facing higher-than-expected operational costs, as running AI systems proves more expensive than deploying th…
Forbes Councils member Mateusz Mucha argues that the biggest AI opportunity for businesses lies not in automation but in revisiting previously rejected projects whose cost or time constraints can now …
Forbes Councils member Ajay Pundhir argues that enterprises are mis-measuring AI by treating it as software when it behaves like labor, and that the unit of work, not the seat, should be the metric. H…
Forbes Councils Expert Panel reports that CTOs need metrics beyond speed to evaluate AI's impact on software development, emphasizing quality, maintainability, and business outcomes. The panel suggest…
Forbes Councils member Ravi Palwe argues that AI agent interfaces must dynamically adjust autonomy based on system confidence and human trust, emphasizing the need for adaptive UX. Palwe highlights th…
Forbes Councils member Gregg Mojica advises CFOs to adopt AI by starting small to prove the concept in a contained, auditable way, avoiding system shocks and costly overhauls. The guide emphasizes inc…
Forbes Councils member Vivek Ahuja argues that standard model benchmarks are insufficient for evaluating enterprise AI, urging businesses to measure AI performance against their own business objective…