Download to read offline
More Related Content
Bindu R
- 1. The Future ofAI Bindu Reddy, GM – Deep Learning, Amazon AWS-AI
- 2.
- 3. Different people have differentperspectives on AI
- 4. ”Golden Age ofAI” – Jeff Bezos
- 5. From Mobile First toAI First
- 6. Barack Obama “it promisesto create a vastly more productive and efficient economy. If properly harnessed, it can generate enormous prosperity and opportunity. ”
- 7. Donald Trump, OurA.I. President “that Trump doesn’t operate within conventional human cognitive constraints, but rather is a new life form, a rudimentary artificial intelligence-based learning machine. When we strip away all moral, ethical and ideological considerations from his decisions and see them strictly in the light of machine learning, his behavior makes perfect sense” – Robert Burton, NY Times
- 8. Science Fiction AI inservice of humanity AI that is equal to humanity AI that is a menace to society
- 9. Church of Godby Anthony Levandowski Anthony Levandowski wants to start the first church of AI called the “Way of the Future” A non-profit organization and a new religion
- 10. Elon Musk, whois wary of AI, is actively developing autonomous cars at Tesla
- 11. If you wantto know the future, look at the past & present
- 12. AI has beenaround for > 70 years…
- 13. Here is whatmost people think of when they think about “AI”
- 18. AI is muchmore prevalent than just these products….
- 19. …it’s an integralpart of everyday platforms and we encounter AI every single day
- 20. More than 70%of what we watch is based on AI recommendations…. The recommendations are fueled by the artificial- intelligence arm, Google Brain, of YouTube’s parent company.
- 21. Pretty much everyfeature in FB is powered by AI FB newsfeed is a mixture of deep learning, boosted decision trees and linear regressions
- 22. 75% of Netflixis driven by AI powered recommendations
- 23. 35% of allsales are from AI powered recommendations
- 24. Democratizing AI –AI platforms on the cloud • AI platforms help organizations easily build, train and deploy models • Organizations can easily leverage their data, and use AI to improve end-user experiences • Platforms enable quick experimentation The largest improvements in accuracy often came from quick experiments, feature engineering, and model tuning rather than applying fundamentally different algorithms.
- 25. One-click training for ML,DL, and custom algorithms Easier training with hyperparameter optimization Highly-optimized machine learning algorithms Deployment without engineering effort Fully-managed hosting at scale Author Built-in high performance algorithms Pre-built notebook instances Deploy Train SageMaker
- 26. Al is alreadyan integral part of • Videos, movies and entertainment we watch • News and friend updates we consume • Things we buy AI is already everywhere and has seeped into our everyday lives
- 27. When it comesto the future…. We always overestimate the change that will occur in the next two years and underestimate the change that will occur in the next ten. Don't let yourself be lulled into inaction.
- 28. Future timeline Short term 2020-2022 Mediumterm 2025 - 2030 Long term • 2040 - 2080
- 29. Short Term (2020– 2022)
- 30. AI becomes ubiquitous… Everyonewho has data will move from simply using big data solutions for business intelligence to deploying machine learning solutions at scale Insurance companies Retailers Oil Companies Media companies Manufacturers Food companies Government agencies Banks Pharma companies
- 31. Social media platformswill solve their problems with AI Disturbing Kid Content Fake followers Political Amplification Bots
- 32. Auto ML willbecome a ”thing”
- 33. Alexa (personal assistants)are embedded everywhere
- 34. Smarter personal assistants •Recognize voices and hold conversations • Home automation • Run the bath, flush the toilet, draw the blinds, control smart fridges, • Personalization • Auto-play favorite songs • Personalized news, restaurant and style recommendations
- 35. Ride-sharing companies willoffer totally autonomous rides…
- 36. AR glasses willmake an appearance… • Advances in light field, battery life and wireless power will make our reality richer Sleek, fashionable and light-weight glasses that overlay light field holograms
- 37. Reality begins tomorph…
- 38. Humans become moreproductive. AI will be the ultimate enabler…. AI augmentation Better/Smarter customer service Better teachers More effective medicine Better recommendations Smarter use of resources
- 39. Medium Term (2025– 2030)
- 40. Personal assistants morphinto personal robots Note: This is a fictional representation
- 41. Organizations will shiftfocus from atoms to bits
- 42.
- 43. AI will likelydisrupt social media and entertainment • Algorithms based on Generative Adversarial Networks (GANs) will become prevalent • Instagram photos • Win Grammy awards • Write tweets and make FB posts for you • Create movies AI becomes a creative world-class artist
- 44. Everything is beingrecorded everywhere… • Big data + Deep Networks = Eyes everywhere
- 45. Virtual Reality finallyhappens… Entertainment morphs from passive entertainment to active entertainment.
- 46.
- 47. Long Term (2040– 2080)
- 48.
- 49. Immortality becomes agoal? Build a comprehensive system to model and monitor biochemical reactions in the human body and rapidly correct any deviations from the ideal healthy state…. If aging is a form of a ‘disease’, you can develop biomarkers and drugs to restore aging associated damage
- 50. What are theconsequences of this? • We will take interstellar travel and colonization more seriously
- 51. AI becomes consciousness AIthat becomes self-aware and start making observations for itself
Editor's Notes
- #2 Lol what
- #26 DEPLOY Deployment without Engineering Effort After training, Iron Man provides the model artifacts and scoring images to you for deployment to Amazon EC2 or anywhere else. When you’re ready to deploy your model, you can launch into a secure and elastically scalable environment, with one-click deployment from the Iron Man console. Fully Managed Amazon Iron Man handles all of the compute infrastructure on your behalf, with built-in Amazon CloudWatch monitoring and logging, to perform health checks, apply security patches, and other routine maintenance, as well as ensure updates to the supported deep learning frameworks as they become available.