Revolutionizing Business Strategy: Unlocking the Power of AI driven Data as a Service (DaaS)
788 Views791
About Speaker
Karunakaran NeelakandanVice President, Engineering
Karunakaran comes in with 26+ years of experience in architecture and leadership across AI, Bigdata Analytics, GPU, ML and DWBI. He has held multiple leadership positions across the Engineering / Analytics departmen...
- 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
AI,DaaS,Data Lakehouse,Data privacy framework,Data engineering,Data Democratization,Deep learning,Machine learning
AI,DaaS,Data Lakehouse,Data privacy framework,Data engineering,Data Democratization,Deep learning,Machine learning