Databricks Data + AI world tour singapore: why context matters more in enterprise AI
Insights from Databricks Data + AI world tour singapore on Lakehouse//RT, Genie ontology, Genie one, Unity gateway, and the future of enterprise AI.
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BFSI
The Syren AEGIS Framework
Agentic AI in BFSI depends on more than model capability. Syren’s AEGIS Framework provides a five-phase approach to assess data readiness, engineer trustworthy foundations, govern agent actions, instrument decisions for auditability, and scale autonomy only when the evidence supports it.
Databricks
One Database, No Sync Layer: Real-Time Order Visibility on Databricks Lakebase
Discover how Syren built TrueTrack on Databricks Lakebase, Eliminating siloed data for real-time order visibility.
Clinical Supply Chain AI & Analytics
The Risk Detection Gap That’s Costing Pharma Billions
Heena Jain, Director of Supply Chain Solutions & Strategy at Syren, explains why a 6-week detection gap exists in clinical trial supply chains, and how AI closes it before patients are impacted.
Databricks
Syren Sales Journey AI: Dynamic Field Sales Planning Powered by Databricks Lakebase
Traditional journey cycle plans become outdated the moment they’re published. Syren Sales Journey AI uses Databricks, Lakebase, and AI-driven dealer scoring to create dynamic, continuously optimized field sales plans that improve productivity, sales performance, and decision-making across distribution-driven industries.
Databricks
Democratizing SAP Data: Building an Enterprise Lakehouse on Databricks from SAP Sources
SAP runs the operational core of most manufacturing enterprises, yet the people who need that data most can rarely access it. This guide covers the architecture, ingestion strategies, and trade-offs for democratizing SAP data on Databricks.