AI-Augmented Data Management and Analytics
Wednesday, October 21, 2020
08:00 AM - 08:50 AM
Intermediate
This session looks at the emergence of AI and graph analytics in Data Management and how it is helping to automate, assist, and accelerate the preparation and production of trusted data assets in a data-driven enterprise. It looks at the use of AI in databases, data catalogs, Data Governance, ETL, and self-service data preparation and in BI tools and Data Science. It also looks at the emergence of metadata knowledge graphs and how graph analytics can help to identify compliance issues and recommend new data to improve predictions and insights.
You will learn:
- What do we mean by AI in Data Management?
- Ways in which AI can assist in data and analytics
- AI in the database
- AI in data catalogs
- AI in Data Governance
- Using AI in ETL and self-service data preparation to speed up development and improve performance
- Knowledge graphs — the new way to store metadata
- What can graph analytics on a metadata knowledge graph tell you?
- AI in BI tools and Data Science
Mike Ferguson is the Managing Director of Intelligent Business Strategies. An independent IT industry analyst, he specializes in Data Management, analytics, big data, and enterprise architecture. With over 40 years of experience, Mike has consulted for dozens of companies on BI/Analytics, data strategy, technology selection, enterprise architecture, and Data Management. Mike is also conference chairman of Big Data LDN, the largest data and analytics conference in Europe, and a member of the EDMCouncil CDMC executive advisory board. He has spoken at events all over the world and written numerous articles. He was formerly a principal and co-founder of Codd and Date – the inventors of the Relational Model, and a Chief Architect at Teradata. He teaches classes in: Data Warehouse Modernization, Big Data Architecture & Technology, Centralized Data Governance of a Distributed Data Landscape, Practical Guidelines for Implementing a Data Mesh, Embedded Analytics, Intelligent Apps & AI Automation, Migrating your Data Warehouse to the Cloud, Modern Data Architecture, and Data Virtualization.