The path to responsible AI in healthcare rests on solid data infrastructure, thoughtful investment and governance that ...

A maturity-based approach is essential for organizations to manage the complexities of AI development and ensure that ...

For AI success, organizations must align strategy, governance and talent across the enterprise, building trust, breaking down ...

"In manufacturing, AI-driven optimization has improved efficiency by 12 percent; in pharmaceuticals, it has halved new drug ...

Effective cloud governance can transform risks into opportunities and drive innovation, but enterprises need top-down commitment.

Business intelligence provides the essential foundation for effective AI deployment. Its role in data quality and governance ...

The pace of technology disruption, the realities of what AI can and can't deliver will be coming into sharper focus as we go into 2026,” EY’s Myles Corson said.

A century after the last caste count, India faces hard questions: will counting caste expose inequality—or entrench it under ...

Among the most significant challenges facing the healthcare industry are rising costs, the aging population and the shrinking healthcare workforce. On top of that, policy changes are putting pressure ...

High-value data — from health records and financial transactions to mobility, energy and environmental datasets — now sits at the intersection of national strategy, economic growth, and AI capability.

Partnership between Boomi and DXC an example of where support can be offered to build the foundations of an effective agentic ...

Relationships are key to developing effective security playbooks to stay one step ahead of emerging digital threats. As the ...