- Brittany BrownJune 24, 2025

Brittany Brown
Learning Objective:
Equip Databricks partners with the knowledge and practical skills to articulate, design, and deliver industry-specific data and AI solutions that drive measurable business outcomes across sectors such as financial services, healthcare, manufacturing, and telecom, leveraging Databricks’ technical capabilities and partner ecosystem.
Key Takeaways:
Strategic Industry Solution Mapping:
Participants will learn how to identify and align customer business priorities with high-impact data and AI use cases—such as hyper-personalization in banking, predictive maintenance in manufacturing, and real-time analytics in healthcare—using Databricks’ Outcome Maps and validated industry case studies to demonstrate value and ROI.Technical Differentiation with Databricks:
Attendees will gain hands-on understanding of Databricks’ technical advantages (e.g., Unity Catalog for governance, Lakeflow for real-time ML, Mosaic AI for generative and predictive analytics) and how these capabilities support secure, scalable, and innovative industry solutions, enabling partners to deliver differentiated offerings and accelerate customer success.Partner Ecosystem and Enablement Pathways:
Learners will explore the Databricks partner enablement framework, including certification programs, delivery specializations, and the role of ecosystem partners (ISVs, SIs, data providers) in reducing time-to-value, overcoming implementation challenges, and scaling industry solutions effectively.
This course prepares partners to confidently engage with customers, design tailored solutions, and maximize business impact using Databricks’ data intelligence platform and best practices.
Skills / Knowledge
- Gen Ai
- Industry
- DAIS 2025