Enterprise-Ready Agentic AI: What’s Hype, What’s Real, What’s Risk?
Leaders weigh the promise, limits, and governance of next-gen AI in enterprise settings
AI-Powered Sustainability: How Generative AI Drives Down Energy Costs and Carbon Footprints
Generative AI models, integrating building data with external factors like weather patterns, have an impact on energy forecasting.
The Evolving Generations of GCCs and the Leaders Behind Them
The leader is no longer a service provider; they are a co-owner of enterprise-level outcomes.
Agentic AI in Financial Services – Enhancing Customer Experience
Major banks are collaborating with technology leaders including OpenAI, Anthropic, Google Cloud, and Microsoft to access cutting-edge AI models while simultaneously developing proprietary systems tailored to their specific operational needs.
The $440 Million AI Lesson: Why 87% of Enterprise AI Projects Fail, And How Global Leaders Beat the Odds
AI governance failures stem from treating AI adoption as technical implementation rather than organizational transformation.
The Role of Large Language Models in Data Privacy
Privacy-by-design is no longer optional; it’s a competitive edge when powered by LLMs.
Behind the Shelves: How AI Powers the Modern Retail Supply Chain
AI-powered logistics are making supply chains faster, smarter, and more resilient.
Why Every Enterprise Needs Its Own AI Orchestration Framework
AI orchestration as the foundation for enterprise success
What’s Next for GenAI?
Like fire and electricity, GenAI is transformative but unruly. It demands guardrails, not blind optimism. The future is here, but it doesn’t come on a plate, cooked and served.
Reframing the Agency Problem in Agentic AI Systems
Agency problems may carry over to Agentic AI – this needs to be understood and mitigated.