Praktische workshop met Keith McCormick over het toepassen van supervised en unsupervised machine learning. Hoe zet je business vraagstukken om in bruikbare machine learning modellen? Welke modellen zijn het meest geëigend voor welke toepassing? Hoe zijn deze modellen op creatieve wijze te combineren? U gaat zelf met oefeningen aan de slag.
Most people will agree that data warehousing and business intelligence projects take too long to deliver tangible results. This presentation will look at the 12 principles behind the Agile Manifesto and see how these approaches can be used to speed things up in the context of a data warehouse project.
Many who work within organizations that are in the early stages of their digital transformation are surprised when an accurate model faces organizational resistance. Keith will share case studies based upon real world projects that reveal why organizational resistance was a problem and how it was addressed.
In order to transform into a data-driven, digitally based organisation, a plan which spells out what must be done to is required. This session will outline how to produce a data strategy and supporting roadmap, and how to ensure that it becomes a living and agile blueprint for change rather than a statement of aspiration.