Taking back control of data requires a commitment to developing enterprise-wide visibility into where data resides, how old ...

Data sprawl has forced organizations to invest in more data security resources, and is drastically inflating data backup ...

The next era of fintech leadership will likely be defined not by user interface improvements but by data infrastructure.

January is when data brokers refresh profiles and scammers rebuild lists. Removing your data early cuts scams and identity ...

As compliance pressure grows, enterprises are shifting away from fragmented safety processes toward centralized digital ...

The AI hype cycle is in full swing. Every week, a new agent or a new tool promises to reinvent business. But here's the uncomfortable truth: AI won't fix your digital transformation. It won't save ...

What makes one presentation unforgettable while another fades into obscurity? The answer often lies in the art of storytelling—and in today’s data-driven world, this art has taken on a new form.

Every retail initiative, whether it’s AI, personalization or supply-chain transparency, depends on trustworthy customer data.

We all understand the importance of data quality. Metrics—such as third-party validations, match rates, and accuracy scores—help us assess data quality on its own terms. Yet, too often, organizations ...

Economic innovation in the AI age could stall without regulations that mandate access to data Google is remarkably good at guessing from users’ misspelled queries what they intended to type into its ...

* The Matrix analogy: Are we training AI inside simulations? Whether you're a data scientist, CTO, or just curious about how AI models learn, this episode offers a deep dive into one of the most ...