This TDWI expert panel will focus on how to develop the right strategy for your analytics stack, i.e., the increasingly layered data technologies that ingest, collect, store, transform, cleanse, and deliver data for the range of analytics. We will discuss where organizations need to modernize their data platforms, integration, and management to move forward with analytics.
Topics to be discussed include:
-Trends in analytics and AI/ML projects and workloads
-Data democratization; growth in data-savvy “citizen” data scientists, hungry consumers of data insights, and innovative applications and services
-Decisions about data centralization, e.g., the data lakehouse, versus or in tandem with distributed data architectures
-Where automation is making the most difference
-The future: where we’re going with data architectures and management to support growth in analytics and AI/ML