Raja Mukerji, a Forbes Councils member, argues that as organizations rush to adopt AI, the primary leadership challenge is shifting from implementation to governance, accountability, and control. The …
Forbes Councils member Tarek Nseir outlines a blueprint for enterprise AI agents, arguing that the industry is converging on the need for ontology-based context and understanding to enable effective A…
Software development is decentralizing away from Silicon Valley, and AI is transforming it into a local trade, according to Binny Gill, a Forbes Councils member. The capability to build software now e…
Forbes Councils member Nitin Rakesh argues that the next phase of business will be defined by 'enterprise agency,' where AI strategy must start with business strategy and intent rather than technology…
AI agents are forcing chief technology officers to adopt a city-planner mindset, according to a Forbes Councils article by Andrey Kuznetsov. The piece argues that CTOs must design AI systems with fore…
Forbes Councils member Alexander Sheppert argues that AI deskilling is real but should not deter professionals from using AI, emphasizing that the key skill to develop is the process of collaborating …
Forbes Councils member Chander Damodaran reports that AI agents are entering the enterprise, with identity emerging as the control plane for accountability. The article emphasizes that identity is not…
Sundar Balasubramanian, a Forbes Councils member, argues that context—not model size or compute—is the competitive advantage AI models cannot buy, as every system connection, decision, and interaction…
Christian Monberg, a Forbes Councils member, argues that AI agents without proper context are merely pattern matching, and that most organizations are building agents without the necessary infrastruct…
AI data centers require a new type of energy storage because their power consumption is highly variable, unlike traditional data centers, according to Darren Tan of Forbes Councils. Tan emphasizes tha…
Sean Nathaniel, a Forbes Councils Member, argues that generic data fails to solve AI's context problem, and that vertical data connected through context is essential for AI to provide specific answers…
Dr. TJ Jiang, a Forbes Councils member, argues that AI model safety is a myth and that organizations must implement an AI trust layer to manage the risks introduced by agentic AI, which shifts an orga…
Forbes Councils member Jason Considine argues that the next era of AI in healthcare will be defined by trust rather than model sophistication, emphasizing that patient and provider confidence is essen…
Scott Zoldi, a Forbes Councils member, argues that blockchain-based governance is the missing layer in agentic AI, as the downsides of AI—lack of interpretability, hallucinations, and sycophancy—could…
Executives who judge AI only by productivity gains miss where risk concentrates and where value compounds, according to Alessio Alionco, a Forbes Councils member. Alionco argues that the biggest misco…
Forbes Councils member Rohan Joshi outlines three ways agentic AI can transform B2B customer service into a revenue engine, emphasizing that AI agents can proactively identify upsell and cross-sell op…
Forbes Councils member Jason Sabin reports that the shift away from human oversight in agentic AI is driving demand for proven infrastructure like public key infrastructure (PKI), signaling the end of…
Confidential computing is essential for scaling healthcare AI while maintaining patient and provider trust, according to John Pettit of Forbes Councils. The technology protects data during processing,…
Shadow AI is expanding faster than enterprise governance can keep up, according to Forbes Councils member Donna Dror, who warns that employees using unauthorized AI tools pose a growing risk to organi…
The EU AI Act, despite phased implementation delays, already affects organizations worldwide, including those outside Europe, according to Forbes Councils member Kuan Archer. Companies should re-basel…