With AI ambitions outpacing data readiness, CIOs must renovate their data strategies to create unified, AI-ready foundations ...

AI initiatives don’t stall because models aren’t good enough, but because data architecture lags the requirements of agentic systems.

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

Information technology architecture is where abstractions become real. Modern enterprises are increasingly moving toward ...

The future of cybersecurity means defending everywhere. Securing IoT, cloud, and remote work requires a unified edge-to-cloud ...

What really sets Pavan apart is how he blends deep Oracle Financials expertise with a sharp eye for AI-driven process design.

Five AI predictions for 2026 show how agentic AI, governance, cloud growth, digital sovereignty, and robotics will reshape ...

Elastic is experiencing robust GenAI adoption, particularly among large enterprise customers, supporting a reiterated buy ...

What it takes to operationalize entities and schema across large organizations, without breaking governance or increasing ...

New Gallup data show which US jobs are using AI the most, revealing a growing divide between knowledge workers, frontline ...

In today’s data-driven economy, agility and intelligence are no longer optional—they are the foundation of competitive ...

A recent study by MIT’s Project NANDA highlighted a sobering statistic: Roughly 95% of AI projects fail to deliver ...