Data center energy in the age of AI: Reducing dependency on the grid
November 12 by AJ JavanThe explosive growth of AI is triggering a need to reduce data center dependency on the grid
Building for the unknown: Designing systems & frameworks that can adapt
November 12 by AI, Data & Analytics Network (AIDA) Editorial TeamAs AI and analytics accelerate, the challenge isn’t just adopting today’s technologies, it’s preparing for what’s coming next
Embedding AI & data literacy as a competitive advantage
November 12 by AI, Data & Analytics Network (AIDA) Editorial TeamHow to embed a culture of AI and data literacy across every role, level, and department
Meta to invest $600 billion in US AI data center expansion
November 11 by Michael HillMeta Platforms announced plans to invest $600 billion in the next three years to expand its US AI and data center infrastructure
AI governance at scale: Engineering trust without slowing innovation
November 11 by AI, Data & Analytics Network (AIDA) Editorial TeamHow platforms, tools, and automation can help enterprises embed trust, optimize cost, and scale AI securely
India unveils new AI governance guidelines to encourage responsible adoption
November 06 by Michael HillThe Ministry of Electronics and Information Technology (MeitY) unveiled the India AI Governance Guidelines
European firms seek greater AI sovereignty
November 03 by Michael HillEuropean organizations are placing greater emphasis on AI sovereignty by maintaining control over data and infrastructure
BSI warns of AI governance crisis
October 31 by Michael HillThe British Standards Institution (BSI) has warned of a looming AI governance crisis in organizations
The human factor in AI transformation: Why leadership behavior defines digital excellence
October 29 by Anup GuptaAI adoption is not constrained by tools, data, or budgets. It is limited by leadership maturity
Building trust in decisions: Optimization is AI that helps turn complexity into clarity
November 20 by AI, Data & Analytics NetworkGain a practical understanding of optimization, its place in AI, and its ability to give decision makers the confidence to act in today’s complex world that other AI approaches cannot
Global AI in data analytics market to hit $310 billion by 2034
October 28 by Michael HillThe global AI in data analytics market is predicted to exceed US$310 billion by 2034, expanding 29.10 percent (CAGR) from 2025 to 2034
Gartner: Organizations must navigate AI & human readiness to drive value
October 22 by Michael HillOrganizations must focus on a combination of AI readiness and human readiness to ensure the right balance in AI adoption
