Course curriculum

  • 1

    State of AI and ML - December 2019

    • State of AI and ML - December 2019 Brochure

  • 2

    Day 1 morning, Keynote & Unified Session

    • Tom Blewitt - Are autonomous systems safe?

    • Prasad Saripalli - AI-Enabled Marketplaces for Wellness, Beauty & Fitness: Personalization

    • Ashok Banerjee - AI/ML and personalized security

    • Ram Appalaraju - Developing AI Based Products and Services – Product Management Perspective
  • 3

    Day 1 afternoon, Track 1

    • Subhashree Radhakrishnan - Deep Learning For Video Analytics

    • Kaniska Mandal - Machine Learning Applications in eCommerce

    • Manjeet Singh - AI & Blockchain for Managers

    • Soham Gharia - FOOD WASTAGE REVOLUTION LEADING TO SUSTAINABLE SOCIETY
  • 4

    Day 1 afternoon, Track 2

    • Anant Kadiyala - AI & THE FUTURE DIGITAL INFRASTRUCTURE

    • Sujata Tibrewala - Democratisation of Edge

    • Anand Joshi - TECHNOLOGY, MARKET AND ARCHITECTURES FOR AI/ML ACCELERATORS

    • Rohit Sharma - AI – Living on the Edge
  • 5

    Day 2 morning, Tutorial & Unified Session

    • Priyanka Makhijani - Face Recognition Systems

    • Madhumitha Sridhara - Deep Learning Inference with TensorRT

    • Norman Chang - Use of AI/ML in Simulation-based Product Innovation
  • 6

    Day 2 afternoon, Tutorial Track 1

    • Girish Adiga - Hands on Lab - Machine Learning using SQL and Apache Zeppelin Notebooks
  • 7

    Day 2 afternoon, Tutorial Track 2

    • Ben Levine - Implementing Strong Security for AI Accelerators