As healthcare delivery continues to evolve, healthcare organizations are often moving too quickly from EHR implementation to population health to risk-based contracts, glossing over (or skipping ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Data quality in the modern economy, where data-driving action is critical to business ...

Pharma teams don't just need more data — they need a unified data picture to make faster, better decisions. In this session, the featured speakers will show how Norstella breaks down siloes by ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. On a recent executive outreach call, a leader from a large enterprise shared how their ...

Unlock the power of your data with an effective data governance framework for security, compliance, and decision-making. Data governance frameworks are structured approaches to managing and utilizing ...

In analyzing dozens of AI PoCs that sailed on through to full production use — or didn’t — six common pitfalls emerge.

What are the differences between gathering and analyzing quantitative and qualitative information? Better yet, how can you develop these skills and use this knowledge in a real-world job? Quantitative ...

Artificial intelligence startup Kolena Inc. is moving beyond AI model testing and quality control with the launch of its new flagship platform, Restructured. The company says its goal is to help ...

Marketing’s potential to deliver results relies on data quality, but data accuracy, consistency, and validity continue to be a challenge for many organizations. Inconsistent data quality is holding ...