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.
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.
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.
CDO Vision NY 2025: Opportunities and Challenges in Migrating to the AI-First Approach
As organizations embrace an “AI-first” mindset, they’re fundamentally reimagining how data can unlock new avenues for innovation and growth.
Navigating AI Governance in the Generative AI Era
As generative AI reshapes industries, a recent AIM Leaders Council roundtable brought experts together to tackle the complexities of AI governance, balancing innovation with responsible adoption in a rapidly evolving regulatory landscape.