Over the past decade, the explosion of data types has made managing data increasingly fragmented and expensive — and it has resulted in organizations amassing huge stores of data in the hopes of unlocking the value hidden within. However, often that value is never fully realized. Most organizations today have complex data landscapes that limit agility and prevent them from getting the most out of their data. Additionally, regulatory and data privacy concerns are costing them $14.5M on average ((SAP, 2017).

This webinar discusses one of the best ways for companies to extract value from data — applying artificial intelligence (AI) techniques like machine learning to identify hidden data patterns and trends. However, with disparate and distributed data landscapes, developing and deploying these techniques is frequently challenging. Learn how companies manage highly complex, diverse, and fragmented data landscapes and unlock the business value buried within through a comprehensive set of machine-learning development and operations capabilities. Topics include:

• Tips for managing intelligence information for data orchestration, data pipelining, and data-fabric creation
• Using SAP Data Intelligence to create data-driven innovation
• How a containerized architecture across cloud, hybrid, and on-premise landscapes enables you to orchestrate complex data types enterprise-wide

Speaker:

Kevin Poskitt
Solution Owner, SAP Data Intelligence
SAP

Kevin Poskitt is part of SAP's product management team that is focused on machine learning, data science, and artificial intelligence. He is responsible for leading SAP's next-generation projects in unified machine learning. He has worked in multiple departments including sales, marketing, finance, and product management.