AI-ready data is a conscious choice, and the organizations that lead the era of AI will be those that treat data as a strategic asset and culture as a force multiplier.

A phased guide to AI governance in cloud-native systems, aligning ISO 42001:2023 and NIST AI-RMF with lifecycle controls, ...

Without high-quality, well-governed data, every downstream AI initiative becomes fragile, expensive, inaccurate or downright ...

In today’s enterprise environments, data no longer functions as a record of what has happened. It operates as a live ...

As enterprises move beyond cloud-led modernisation, many are realising that AI adoption is less about deploying new tools and ...

Scott Brinker and Frans Riemersma’s “Martech for 2026” keynote opened with a wall of logos — AI agents everywhere. Content production agents deployed by 70% of marketing teams. Customer service ...

The future of AI leadership will be defined by those who can navigate complexity - technical, organizational, and human ...

As part of this momentum, EdgeLake has introduced an implementation of the Model Context Protocol (MCP), enabling AI agents and Large Language Models (LLMs) to access and reason over live edge data ...

Schneider's advocate highlights faster permitting, lower latency, liquid cooling upgrades and ESG gains as brownfields meet ...

As AI reshapes media planning across MENA, Zenith sees the real opportunity in shifting how growth is planned and measured. Toseef Butt, business director at ...

83% of Organizations Demonstrate Low AI and Automation Maturity in Human Resources, According to New Benchmarks Data Report by Phenom 30% of HR Professionals Have Limited Knowledge of How to Apply AI ...

Blend, a leading provider of AI-powered data science and analytics services, has been named a Leader in AIM Research's PeMa Quadrant: Top Data Science Service Providers 2025. This recognition reflects ...