Automating Data Modeling for Business Insight

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This chapter discusses the automation of data modeling as a necessary evolution, emphasizing its practical implications for business processes and ROI. It highlights the role of a semantic layer in enhancing data quality and modeling while addressing the challenges organizations face in adopting innovative technologies.

In this episode of Knowledge Cast, Joe Hilger, COO of Enterprise Knowledge, moderates a panel discussion with leading experts in data and semantic layer: Sanjeev Mohan, Malcolm Hawker, and Lulit Tesfaye.

The panel delves into the upcoming Semantic Layer Symposium, emphasizing the importance of a semantic layer as a bridge between technical data and business applications. The panelists speak on the practical applications and future of a semantic layer. They agree that a semantic layer could significantly improve data accuracy and efficiency, particularly in AI and ML contexts. This discussion underscores the necessity for organizations to understand and implement a semantic layer to drive better business outcomes and adapt to evolving data landscapes.

The Semantic Layer Symposium in Munich aims to provide attendees with concrete examples and best practices, helping them grasp the practical benefits of a semantic layer and how to implement it effectively. Click ⁠here ⁠to register for the event.