The Technology Business Management Council’s recent EMEA Summit highlighted a new taxonomy and framework for TBM geared for ...

As companies deploy agentic AI, CIOs and data leaders face a critical mandate: deliver governed, trusted data that AI systems can understand.

U.S. companies are using generative AI, raising concerns about data privacy, compliance, and operational risks.

PwC’s Danielle Gifford breaks down how Canadian SMBs are missing the mark on AI integration, governance, and ROI.

Two major decentralized autonomous organizations ceased to exist last month, raising existential questions about the DAO ...

Franklin's five main asset classes are skewed more toward equities (41% of managed assets and 37% of management fees) and fixed-income (28% and 27%), with balanced (11% and 10%), money market (4% and ...

Opinion: Akerman's Melissa Koch explains why the quality of data in legal artificial intelligence matters more than the ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at ...

Akerman’s Melissa Koch explains how legal departments and law firms can create the right team with the right capabilities ... with additional training in data modeling and information architecture.

Unstructured data, shadow AI and unclear government regulations are still major hurdles for organizations trying to safely adopt AI, according to BigID’s 2025 AI Risk & Readiness in the ...

Why AI Governance is an Organizational Responsibility Organizations, as the entities creating and using AI systems, play a crucial role in defining and implementing AI governance. Sound governance ...

A data analytics governance committee (including an interdisciplinary team of data stewards who curate the data) collaborates with the campus privacy office and IT security team to create and ...