Using AI to improve master data processes
Join this conversation to better understand how AI can help you solve your data problems.
As companies begin exploring the possibilities of artificial intelligence (AI) for improving business processes they are faced with the daunting task of figuring out where to start and how to proceed. In most cases, it starts with understanding your data and the processes you use to create and manage it.
Today’s complex data environments often are spread across multiple, disparate systems with differing data structures, poor governance and terrible data quality. Nowhere is solving this challenge more vital than with master data.
In this session we will discuss:
- The reason master data is so critical to your success
- Why managing master data is so challenging
- How automation can begin to solve many creation and management issues
- The benefits of combining the capabilities of automation and master data management to drive better business processes across your enterprise
Speakers
Andrew Hayden
Senior Product Marketing Manager
Precisely
Andrew Hayden is a senior product marketing manager at Precisely, overseeing programs for Precisely’s Automate portfolio of SAP automation solutions. Mr. Hayden spent over 25 years in marketing, consulting and entrepreneurial roles working for himself and others. During his career he has managed marketing programs and departments for some of the largest companies in the world including IBM, SAS institute, Siemens and Coca-Cola, as well as overseeing marketing for Nortel Global Services group. In addition, he has held senior marketing positions for multiple startup companies and consulted with other early-stage technology startups.
Sreyashi Das
Senior Data Engineer
Netflix
Sreyashi is a Senior Data Engineer at Netflix with a demonstrated history of working in media entertainment and consumer electronics industries. She excels in the design and implementation of both streaming and batch data movement, along with analytical solutions. At Netflix she has developed new data products which provide the foundation for metric development and analysis insights for the Studio and Creative Production team. These products drive data health, launch timeliness, resource availability, and cost optimization. She has also designed a data extraction framework specifically for the animation team. Before her role at Netflix, her expertise was primarily in data warehousing and self-serve business intelligence. Sreyashi loves building high-quality data models.
Rishu Gandhi
Senior Data Engineer
Major Financial Institution
Transitioning from a background in chemical engineering to the realm of Data Science, Rishu journey reflects a deep curiosity and a continuous desire to learn. Captivated by the transformative power of data and AI, Rishu has spent over four years delving into the intricacies of numbers, algorithms, and statistics. Currently serving as a senior data engineer, she is energized by the exciting challenges and opportunities that come her way.
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