Machine learning is surrounded by fascination and awe. It can drive better personalized experiences with customers, increase workforce effectiveness, and de-risk your organization from security threats and regulations. But, machine learning needs quality data, relevant data, and better context surrounding transactions, interactions, operations and decisions. Machine learning needs to operate at the heart of your data strategy, not only at the edge. It will prepare and master your data at scale so you can go from data driven to insight driven.
In this video, Michele Goetz, Principal Analyst at Forrester research talks about:
- How organizations are turning from "data as an asset" to "data as business"
- What data management and governance changes are needed to excel in the machine learning age
- The machine learning technologies that will transform how you get the most out of your data