Leading-edge consumer technology companies, such as Google, Amazon, and Netflix, have demonstrated the impact that machine learning can have on the customer experience. These brands have become some of the most valuable in the world by delivering experiences that feel magical to the end consumer by using machine learning to make helpful recommendations, tag pictures, and translate documents.
As consumers, we’re primarily aware of how machine learning impacts the ‘last mile’ aspects of the customer experience. But this technology is also readily applied to all areas of business operations. Data stewardship, an often ill-understood but vital part of DataOps, is one such area.
Download this free guide to learn more about:
- What data stewardship is
- 5 ways machine learning can have an impact on data stewardship
- How to prioritize problems for machine learning