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

790 Registered 31 May, 2023 03:00 PM Asia/Kolkata 9 Likes

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Karunakaran Neelakandan

Vice President, Engineering Crayon Data Pvt Ltd

Karunakaran comes in with 26+ years of experience in architecture and leadership across AI, Bigdata Analytics, GPU, ML and DWBI. He has held multiple ...Read More


  • 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

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  • Learn through hands on Coding Practice sessions
  • Attend interactive Webinars from Industry Experts
  • Compete in Challenges and Events
  • Showcase your AI generated Tech Resume