Mike Ferguson is Managing Director of Intelligent Business Strategies. An independent IT industry analyst and consultant, he specialises in BI/analytics, data management and enterprise architecture. With over 39 years of experience, Mike has consulted for companies on BI/analytics, data strategy, technology selection, data & enterprise architecture, data governance and intelligent business. Mike is also conference chairman of Big Data LDN, the fastest growing data and analytics conference in Europe. He has spoken at events all over the world and written numerous articles. Formerly, a principal and co-founder of Codd and Date Europe – working with Turing Award winner Dr Edgar F. Codd, the inventor of the Relational Model, He teaches classes in DW Modernisation, Big Data, Enterprise Data Governance, MDM, Building, Managing & Operating an Enterprise Data Lake, Migrating your Data Warehouse to the Cloud, ML & Advanced Analytics, Integrating AI into the Enterprise, and Data Virtualisation
May 27, 2021 12:10 PM PT
This session looks at where we are today with data and analytics and what is needed to transition to the Artificially Intelligent Enterprise.
How do you mobilise developers to exploit what data scientists and business analysts have built? How do you align it all with business strategy to maximise business outcomes? How do you combine BI, predictive and prescriptive analytics, automation and reinforcement learning to get maximum value across the enterprise? What is the blueprint for building the artificially intelligent enterprise?
•Data and analytics – Where are we?
•Why is the journey only half-way done?
•2021 and beyond - The new era of AI usage and not just build
•The requirement - event-driven, on-demand and automated analytics
•Operationalising what you build – DataOps, MLOps and RPA
•Mobilising the masses to integrate AI into processes – what needs to be done?
•Business strategy alignment – the guiding light to AI utilisation for high reward
•Agility step change – the shift to no-code integration of AI by citizen developers
•Recording decisions, and analysing business impact
•Reinforcement-learning – transitioning to continuous reward