Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Driving Transformation in Industries with Artificial Intelligence (AI)

Gramener's Director of Delivery, Priyaranjan Mohanty, delivered a virtual session at IIM Nagpur and talked about how organizations are moving towards digital transformation by leveraging advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning.

Starting from what the industry leaders think about digital transformation to how it can shape the global economy, this presentation explores the scope of AI in the digital world.

  • Be the first to comment

  • Be the first to like this

Driving Transformation in Industries with Artificial Intelligence (AI)

  1. 1. 1 AI : DRIVING THE TRANSFORMATIONS OF INDUSTRIES
  2. 2. 2 AI : Lets “Unwrap the Blackbox” …… WHY AI : Why should we talk about it HOW : How did we reach here and How should we go from here WHAT : What is that we should know about AI
  3. 3. 3 Why AI – What Industry leaders think …..
  4. 4. 4 Why AI – What Industry leaders think …..
  5. 5. 5 AI – HOW it is affecting the Industry Landscape
  6. 6. 6 AI – HOW it will Shape the Global Economy * Source : PWC
  7. 7. 7 AI – WHERE are we Today …… IOT / IIOT Big Data Cloud Computing Robotics AI / ML / DL
  8. 8. 8 AI – Data is New Oil …. Data is the New Oil AI and Data Analytics are the Refineries Data at its base is just as crude as oil . Without the proper refinery tools, the oil could hardly be used for anything, but once it was refined, it was a premiere source of energy around the entire world. Data is similar in this way. It needs the proper tools in order to refine and turn it into something of value.
  9. 9. 9 AI – How much Data is being generated …
  10. 10. 10 AI – WHAT is AI ?
  11. 11. 11 AI – WHAT are the different elements of AI ….
  12. 12. 12 AI – WHAT are the Types of AI ….
  13. 13. 13 ML – Broad Types of ML
  14. 14. 14 ML – Supervised Machine Learning
  15. 15. 15 ML – Unsupervised Machine Learning
  16. 16. 16 DL – Deep Learning
  17. 17. 17 AI Technologies : Few More Examples…
  18. 18. 18 Analytics Ascendancy Model
  19. 19. 19 Impact of AI on various Industries
  20. 20. 20 Impact of AI on various Industries
  21. 21. 21 Impact of AI on various Industries
  22. 22. 22 AI Challenges – Ethical Use
  23. 23. 23
  24. 24. 24

×