The conversation about artificial intelligence typically orbits around model architecture, parameter counts, and ...

In today’s data-driven economy, reliability is the true differentiator. It’s no longer enough to deliver data; we must ...

Since OpenAI’s debut of ChatGPT in late 2022, every company has been jostling to move faster with AI. Big hardware players like Nvidia are selling more GPUs than ever, while large model builders like ...

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 ...

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 ...

Many organizations are experimenting with AI programs, but most of them face a significant and seemingly intractable problem. Although proof-of-concept (POC) projects and minimum viable products (MVPs ...

Multiple times over the last decade, this column has covered the issue of the importance of data quality in decision making, both by executives as well as machines. Back in 2014, when the “big data” ...

Poor quality data causes marketers and businesses to lose out on opportunities and potentially open themselves up to risk. Errors in data exist. And when most marketers start looking into their data, ...

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 ...

As data is quickly becoming a significant corporate asset, lawyers in corporate transactions need to consider the associated legal risks. Failure to understand and address these risks can result in ...