Disruptive Technology: How Businesses Are Adapting to AI, Blockchain, and IoT
Traditional approaches to data management don’t acknowledge that data environments and end user requirements are constantly changing.
Data scientists face an unnecessary burden and spend up to 80% of their time doing tedious, time-consuming data prep work before they can begin actually analyzing data.
This is where Agile Data Mastering comes in. In this ebook, you’ll gain insights about:
- The pillars of Agile Data Mastering including building operational and analytical applications
- The key benefits of human-guided machine learning at scale
- How a large enterprise saved $380 million in 18 months using machine learning
Download this ebook to learn more about embracing an agile approach to data mastering.