We provide virtual course about building a Data and AI Strategy for A Data - Driven Enterprise. This course explores how to create a strategy that integrates defensive and offensive approaches, enabling your organization to unlock the full potential of data and AI.
Course description:
Becoming a data-driven organization is essential for staying competitive in today’s market. Achieving this requires a clear Data and AI strategy - a roadmap that balances two critical goals:
1) Building a Strong Data Foundation:
• Managing data complexity, ensuring governance, and creating trusted data products in an increasingly regulated environment.
2) Maximizing Value from Data:
• Leveraging analytics and AI to innovate, disrupt markets, and drive competitive advantage
Overview:
• For many companies today, there is a real desire to become data-driven. A key first step in achieving this, is to create a data and AI strategy that sets out a roadmap on how to get there. When defining a data and AI strategy, most companies are faced with two broad challenges. The first is how to reduce risk to get data under control, govern it and build trusted data products that they can consume and use.
This needs to happen in an environment where regulation is increasing, data complexity is growing with thousands of data sources and many different types of data stores both on-premises, in SaaS applications and in one or more clouds. The second is how to maximise the use of data, analytics and AI for competitive advantage to disrupt the market(s) you compete in. Data and AI strategy therefore needs to be defensive as well as offensive.
So how do you do this? What do you need to do to build a data and AI strategy? What things should be in a data and AI strategy? What should you include in a defensive data strategy versus an offensive one? This class looks at this problem and seeks to find a way to build a data strategy that enables both defensive and offensive data programmes and brings them together to create competitive advantage in a data driven enterprise.
Learning objectives:
Attendees will learn how to build a data and AI strategy for a data driven enterprise that delivers business value while improving data and AI governance.
• Module 1 - Introduction
• Module 2 - Business strategy alignment
• Module 3 - Understanding and assessing your current setup
• Module 4 - Defining your future setup
• Module 5 - Implementation roadmap
Instructor: Mike Ferguson
Mike Ferguson is Managing Director of Intelligent Business Strategies Limited. As an independent IT industry analyst and consultant, he specialises in BI / analytics and data management. With over 40 years of IT experience, Mike has consulted for dozens of companies on BI/Analytics, data strategy, technology selection, data architecture, and data management.
Mike is also conference chairman of Big Data LDN, the fastest growing data and analytics conference in Europe 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 he was a principal and co-founder of Codd and Date Europe Limited – the inventors of the Relational Model, a Chief Architect at Teradata on the Teradata DBMS.
Audience:
Chief Data Officers, Chief Information Officers, Heads of Data Governance, Heads of AI Governance, Data Architects, Data Engineers, Solution Architects, Heads of Analytics, Data Warehouse Managers, Data Administrators, Business Unit Managers responsible for Data and AI.
Language:
• English course material, norwegian or english speaking instructor