Many banks have a typically top-down perspective on enterprise risk management (ERM). This approach underestimates the importance of data, the core bottom-up enabler for ERM, and compromises the ...

In a rapidly evolving digital landscape, security threats are becoming more sophisticated and pervasive. Organizations face ...

Universities have been cautious adopters of artificial intelligence. As they address data-management challenges while shoring up student retention and boosting enrollment, they need clear, ...

Improved decision making: High-quality data provides a solid basis for making strategic decisions. Leveraging accurate data to identify trends, forecast future outcomes, and develop effective business ...

Change Management Is About People And Processes ... As businesses increasingly rely on AI, the importance of ensuring data quality, security and compliance has never been greater.

With more information becoming available online, regulatory bodies have stepped up their enforcement on the safety of access management.

One of the most significant trends reinforcing the importance of enterprise data centers in 2025 is the escalating sophistication of cybersecurity threats. As artificial intelligence (AI) continues to ...

In dynamic and everchanging scenario of financial data management, the role of Enterprise Data Management (EDM) systems has become paramount in ensuring data ac ...

(PSA-10 Director Janith Aves discusses the February 2025 inflation report during a press conference in Cagayan de Oro City. Aves emphasized the importance of understanding inflation data for informed ...

The event’s second day focused on data integration, management, and analysis. Briefers spent the day tying the importance of good data management strategies to the better use of AI in the workplace.