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 ...

Data Privacy relies on proactive privacy-by-design principles built into workflows to stay on top of compliance as ...

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

As tools like generative AI become increasingly mainstream, the quality and accessibility of enterprise data has become more important than ever before. Many organizations are rethinking their data ...

Ultimately, executive dashboards aren’t just about flashy visuals or faster reporting—they fundamentally change how ...

In today's competitive landscape, your brand isn't just battling others in your industry for the best product. It's also competing with every single one of your customers' previous best experiences.

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Detailed and comprehensive AI policies help organizations ...

The ongoing dive into modernity—and all the new technologies and hype trains that come along with it—requires a modern data architecture to support it. With this architecture comes a variety of other ...

This update is part of our AI FAQ Series. Learn more at our AI Law Center. 1. What is AI governance? AI governance refers to the policies, processes and practices created by organizations to guide the ...

Generative AI introduces new risks, challenges, and opportunities for how organizations source and use data. Here are four ways data governance teams are rising to the occasion. Data governance was on ...

AI adoption has moved from the margins to the mainstream. Many organizations are piloting generative AI, exploring agentic systems and physical AI in robotics and automation, and extending investments ...