Join this session to learn about some of our favorite examples of how organizations are using analytics to deliver business value.

AI is not the only thing driving rapid change in D&A. There is a rapid evolution in how and where analysis can be deployed, from the next generation of augmented UXs and beyond; composing and operationalizing D&A at scale; engineering decision intelligence; and relating everything; to enabling D&A at the edge. Understanding the business impact of these changes will allow organizations to resource optimize, accelerate change, drive innovation and transform society over the next three years.

Dangerous data is data that exposes the company to the threat of serious legal or brand impact, but is unavoidably collected for other business purposes. This ability to identify data liability and not just treat data as a pure asset is critical to managing D&A risk.