Those who pair innovation with disciplined execution will be best positioned to scale AI responsibly, intelligently and with ...

Migrating to digital environments along with AI use are the two vital pillars required to shift from a 'zero-risk' mindset to ...

As governments move beyond AI pilots, the real challenge is execution at scale. Responsible governance, integrated platforms ...

Information Architecture (IA) is the starting point. AI is only as powerful as the AI ready data. Enterprises must prepare their data to be AI-ready—optimizing storage and compute across multi-cloud ...

Innodata INOD has entered 2026 with growing exposure to one of the most critical bottlenecks in enterprise AI adoption — ...

AI and data sovereignty are putting regional data centers at the heart of Europe’s AI evolution. Local data centers and ...

AI-driven digital transformation is expensive, complex, and organisationally demanding. But delaying transformation carries its own cost: rising operational inefficiency, increasing risk, and widening ...

The question for CEOs is no longer whether to use AI, but whether they will lead with it or be led by those who do.

In 2026, data governance has stopped tiptoeing around the edges of organizational strategy and stepped directly into the ...

From acquisition reform to force restructuring, the Army’s 2025 transformation signals an enterprise-wide reset as it enters ...

The study introduces the concept of algorithmization to describe how organizations can be transformed into federated ...

Explore the AI Maturity Model for Cybersecurity—a practical framework to measure AI adoption, reduce risk, and improve ...