For data-driven companies, their biggest challenges live in those outer rings. Their data flows in from CRM platforms, IoT ...

Organizations increasingly depend on accurate insights from their data to drive decisions, fuel innovation and maintain their competitive edge. Yet, the ability to extract meaningful, high-quality ...

Most data governance models weren’t built for AI. They were designed to ensure compliance, not to support real-time decision-making. They helped manage audits and reports but were never intended to ...

AI adoption has moved from the margins to the mainstream. Many organizations are piloting generative AI, exploring agentic ...

With the right partner and advanced tools, regulatory obligations become opportunities to strengthen trust and unlock new ...

Here's how banks can turn fragmented compliance efforts into a scalable, auditable operating model that delivers faster ...

If you’re reading this, there’s a very good chance your organization’s approach to data governance is the exact opposite of what it should be for the AI era. If you’ve read my prior articles, you know ...

New York - Credit Suisse is in the process of completing a data governance model aimed at improving reference data management, according to a speaker at the North American Financial Information Summit ...

In today’s rapidly evolving digital landscape, the value of data cannot be overstated. Data has become the lifeblood of innovation, driving decisions, shaping industries, and transforming how we live ...

State and local governments are embracing data modeling and governance strategies to advance efficiency, sharpen decision-making, and elevate their service delivery. In so doing, they’re helping ...

The COVID crisis has shown that ethical and effective uses of data and increased sharing of data can save lives and can be critical for society as a whole (by contrast to the use of data made by ...