Revolutionizing Business Strategy: Unlocking the Power of AI driven Data as a Service (DaaS)

• Introduction to Data as a Service (incl. the need)
• Building DaaS (a Full Stack Data Platform)
• Sourcing from various Applications (Batch and Real Time)
• Building Robust Canonical Model
• Rule and ML based Mapping
• Creating Data Lakehouse
• Ensuring Business Certified Quality Data
• Business Glossary
• Building Transformation
• Enrich Data (Using Generative AI)
• Identify and Build Genomes
• Creating Feature Store
• Build Metrics Library
• Pre-Built Advanced Analytics
• Pre-Built ML Model Catalog
• Enabling Generative AI based Natural Language Queries
• Data Governance (incl. impact on Data Privacy like GDPR, CPRA)
• Data Monetization with DaaS

Key points of discussion

• How DaaS redefines Data as Full Stack
• Why DaaS is required in current scenario and how Industry can overcome end to end Data related challenges
• How to build a Common Data Platform for an Industry
• Having Data in Plug and Play mode
• How it will enable Organizations at speed to make decisions and generate ROI
• Integration of Generative AI in DaaS
• Data Monetization

Who should attend

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