Data centers must be designed with flexibility and certainty to meet the demands of AI workloads, according to Abhilash Kunnatoor Margabandu in Forbes. The article emphasizes the need for infrastructu…
David Henkin argues that faster access to critical information is now a key driver of innovation and competitive advantage, with AI playing a central role in enabling this shift.…
Lori Schafer writes in Forbes that the future competitive advantage will come from building organizations that know how to work with AI responsibly, operationally, and at scale, not from access to AI …
Forbes contributor Austin Berglas argues that human-led cybersecurity services are not being replaced by AI but are instead expanding in scope and importance, contrary to fears that AI would render su…
Forbes Councils member Vasudeva Akula identifies three AI implementation gaps that hinder subscription growth: lack of actionable insights, failure to scale personalization, and inadequate integration…
AI memory is emerging as a key competitive advantage in enterprise intelligence, transforming systems from one-time interactions into context-aware assistants that enable personalization, continuity, …
Tanmay Ratnaparkhe outlines strategies for building scalable AI infrastructure for social media platforms, emphasizing the need for robust data pipelines, real-time processing, and modular architectur…
Forbes Councils Member Riaz Raihan argues that artificial intelligence may save more energy than it consumes, positioning AI as a powerful ally for sustainability. The piece explores how AI can optimi…
Forbes contributor Iri Trashanski argues that the future of agentic AI lies at the edge, not solely in the cloud, as edge computing enables real-time decision-making and reduces latency for autonomous…
Data centers, which power AI and cloud computing, are being built at a record pace as companies race to meet surging demand for digital services. The facilities house servers and networking equipment …
Jamshir Qureshi writes in Forbes that AI hallucination attacks, including slopsquatting, pose a growing security risk, and recommends proactive trust verification for software dependencies to close th…
The United States faces a growing risk of losing the AI talent and productivity war due to a severe shortage of skilled STEM professionals, producing fewer than 820,000 STEM graduates annually compare…
A new generation of enterprise agentic assistants is emerging, extending AI capabilities to non-coders through desktop agents, but significant gaps in functionality and reliability remain.…
Samsung Electronics CEO TM Roh published an editorial on July 8, 2026, outlining the company's vision for 'agentic' AI that operates across devices including phones, watches, tablets, TVs, foldables, …
AI models without strong business context risk costly errors, but vendor approaches to “context” vary. Enterprises must take ownership of their data’s definition layer, according to a Forbes article b…
Ram Chakravarti writes in Forbes that data operationalization, combined with practical AI deployment, enables the creation of 'digital twins' for data, driving automation and autonomous systems.…
AI-generated code is creating a new form of technical debt called 'comprehension debt,' where developers struggle to understand and maintain code they did not write, replicating legacy code problems i…
Nick Heddy, a Forbes Councils Member, proposes a framework for AI transformation that balances speed with strategic advantage, warning that rushing can increase complexity. The framework aims to help …
Agentic AI is poised to drive significant cloud costs for enterprises, forcing CIOs to manage spending as they did with early cloud adoption. The article warns that without proactive governance, AI ag…
Forbes Councils Member Oleg Lola argues that AI will not replace software developers in 2026, but developers who leverage AI tools will outpace those who do not, potentially displacing other roles. Th…