Session
Genie for Engineering: Optimizing HVAC Design and Operational Insights With Data and AI
Overview
Experience | In Person |
---|---|
Type | Breakout |
Track | Data Engineering and Streaming |
Industry | Manufacturing |
Technologies | Apache Spark, Delta Lake, DLT |
Skill Level | Intermediate |
Duration | 40 min |
In this session, we will explore how Genie, an AI-driven platform transformed HVAC operational insights by leveraging Databricks offerings like Apache Spark, Delta Lake and the Databricks Data Intelligence Platform.
Key contributions:
- Real-time data processing: DLT and Apache Spark™ for efficient data ingestion and real-time analysis.
- Workflow orchestration: Databricks Data Intelligence Platform to orchestrate complex workflows and integrate various data sources and analytical tools.
- Field Data Integration: Incorporating real-time field data into design and algorithm development, enabling engineers to make informed adjustments and optimize performance.
By analyzing real-time data from HVAC installations, Genie identified discrepancies between design specs and field performance, allowing engineers to optimize algorithms, reduce inefficiencies and improve customer satisfaction. Discover how Genie revolutionized HVAC management and apply to your projects.
Session Speakers
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Mohamed Hanif Ansari
/Manager, Data Science & AI
Lennox
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Sridhar Venkatesh
/Principal AI Engineer
Lennox International