RLS: Real Life Use Cases and Stories: Lectures describing details about business and technical perspective of concrete real-life use cases based on relevant subject areas (Data Ingestion, Real Time Processing, Machine Learning, Predictive Analytics, Natural Language Processing, Data Visualization, Artificial Intelligence etc…
CAL: Concepts and Learnings: Lectures related to general advices, experiences and recommendations about logical architecture, technologies, trends, tools, concepts, project organisation, data governance, data protection and beyond.
WNX: What is Next, Trends and Future Development: anything emerging, looking to be disruptive in the field of data science and applications of data science. Looking at the future, showcasing the things that will keep us awake in the months to come.