The amount of data that is being copied each day is enormous and growing. Data minimization means looking for ways to limit or stop this. Less copying offers many advantages for any organisation, but what does it mean for your data architecture and how do you go about it? [Video introduction (Dutch)]
Alec Sharp illustrates the many ways concept models (conceptual data models) support business process change and business analysis. [Video introduction]
In this half day virtual seminar John O’Brien will explain the benefits of the DataOps methodology to improve on your Analytics. [Video introduction]
Practical half day seminar on getting started with Supervised machine learning by Keith McCormick. How do you decide when to use Supervised versus Unsupervised machine learning? How to properly prepare data for different kinds of supervised models and how can data preparation be automated in parallel with the model if deployment is to succeed? [Video introduction]
In this half day virtual session, Dr. Barry Devlin explores the challenges and potential benefits of moving from BI and Analytics to AI. We explore its use in data management; its relationship to data warehouses, marts, and lakes; its emerging role in BI; its strengths and weaknesses at all levels of decision-making support; and the opportunities and threats inherent in its two main modes of deployment: automation and augmentation.