This two-day in-depth class looks at this problem and shows how to successfully implement AI driven active data governance across a distributed data estate. This includes AI-driven active governance of data access security, data privacy, data sharing, data retention data quality and data usage. The class looks at the business problems caused by poorly governed data and how it can seriously impact business operations, cause unplanned operational costs, and destroy confidence in accuracy of BI, machine learning model predictions and recommendations and Generative AI.
It also looks at requirements for AI-driven active data governance. Having understood the requirements, you will learn what should be in a governance programme. This includes data governance roles and responsibilities, processes, policies, technologies, and data governance capabilities to govern data across a distributed data estate . It looks at how to implement AI-driven active data governance by breaking the data governance problem down into a series of steps that need to be implemented and looks how to take advantage of emerging AI-driven data governance platforms to implement this.
The class will cover:
- Data governance disciplines including data curation, data quality, data privacy, data access
security, data sharing, data retention, and data usage - Current problems with data governance today
- Requirements to dramatically improve data governance using AI and automation
- The need for an integrated data governance platform, AI augmentation and AI-automation
- Establishing health metrics to measure effectiveness of your data governance program
- Understanding the core AI-assisted data governance services you need to discover, classify and curate data
- Creating a Data Governance Action Framework for your enterprise
- Data governance observability – monitoring the health of your data
- AI-Assisted data governance action automation
- Implementing AI-assisted governance of different data governance disciplines
- Implementing AI governance to manage and avoid risk
This seminar is intended for CDOs, CIO’s, Heads of Data Governance, CISOs, Business Analysts, data
scientists, BI Managers, data warehousing professionals, data architects, solution architects, Data
strategists, Database administrators, IT consultants.
Managing Director
Intelligent Business Strategists
Mike Ferguson is CEO of Intelligent Business Strategists. An independent IT industry analyst and consultant, specialising in BI/analytics and data management. 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, and a member of the EDM Council CDMC Executive Advisory Board. He has spoken at events all over the world and written numerous articles. Formerly, a principal and co-founder of Codd and Date – the inventors of the Relational Model that caused the birth of relational databases and SQL, and Chief Architect at Teradata on the Teradata DBMS. He teaches master classes in Data Strategy, Data Catalogs, Data Warehouse Modernisation, Practical Guidelines for Implementing a Data Mesh, Big Data Fundamentals, How to Govern Data Across a Distributed Data Landscape, and Embedded Analytics, Intelligent Apps & AI Automation
Course Summary
Price: £995 + VAT (vat only charged if UK resident)
Instructor: Mike Ferguson
Duration: 2 Days
Date: 15 – 16 October 2026
Time: 09:00 – 17:00 BST
Language: English
Certification: Yes – Certificate of completion
