The State of Artificial Intelligence and What It Means for the Philippines
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What consumer-ready applications of artificial intelligence are out there? What are the implications of semi-autonomous agents on Manila's BPO industry? Thinking Machines CEO and data scientist Stephanie Sy delivered this presentation on the current data science and AI landscape at the "Humans + Machines: Using Artificial Intelligence to Power Your People" conference held on February 19, 2016 at BGC, Taguig, Philippines.
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The State of Artificial Intelligence and What It Means for the Philippines
- 1. Thinking Machines Data Science The State of Artiļ¬cial Intelligence Thinking Machines Data Science Feb 19, 2016 Humans+Machines
- 2. Thinking Machines Data Science Thinking Machines Data Science Stephanie Sy Founder, Thinking Machines Data Science twitter @stefsy stef@thinkingmachin.es #humansplusmachines
- 3. Thinking Machines Data Science Outline 01 02 05 The Rise of Artiļ¬cial Intelligence The AI Industry Landscape How will this impact us in the Philippines? 03 Tools04 Applications
- 4. Thinking Machines Data Science Thinking Machines Data Science Scene from Ex Machina The Rise of Artiļ¬cial Intelligence 01
- 5. Thinking Machines Data Science Can these machines think and feel? Does it even matter?
- 6. Thinking Machines Data Science Artiļ¬cial Intelligence is The interaction of the following ļ¬elds 1. Internet of Things 2. Smart Grids/Cities (The Internet of Really Big Things) 3. Data Science 4. Machine Learning 5. Natural Language Processing & Generation 6. Big Data Processing In the near term, weāre getting artiļ¬cially intelligent systems
- 7. Thinking Machines Data Science Artiļ¬cial Intelligence looks more like this IBM Watson winning Jeopardy against two all-time human champions in 2011.
- 8. Thinking Machines Data Science The Fourth Industrial Revolution is Here World Economic Forum 2016: How artiļ¬cial intelligence and robotics are changing humanity
- 10. Thinking Machines Data Science 4.9 billion items connected to the internet of things last year will reach 25 billion by 2020 World Economic Forum 2016: How artiļ¬cial intelligence and robotics are changing humanity
- 11. Thinking Machines Data Science Advanced manufacturing technologies are expected to double in value to $85 billion+ globally by 2019 World Economic Forum 2016: How artiļ¬cial intelligence and robotics are changing humanity
- 12. Thinking Machines Data Science Venture capital investment in robotics and artiļ¬cial intelligence has grown more than 70% per year since 2011 World Economic Forum 2016: How artiļ¬cial intelligence and robotics are changing humanity
- 15. Thinking Machines Data Science Artiļ¬cial Intelligence Company = (Big?) Data + Tools + Applications
- 16. Thinking Machines Data Science Key Terms (Poorly Deļ¬ned) 1. Artiļ¬cial Intelligence 2. Data Science 3. Machine Intelligence 4. Agents 5. Big Data 6. Autonomous Systems 7. Deep Learning
- 17. Thinking Machines Data Science Two useful ways of evaluating companies in this space: the application framework or the tool framework.
- 18. Thinking Machines Data Science The Application Framework 03
- 19. Thinking Machines Data Science Social Apps Marketing Finance Robots/Drones Customer Service Transport Agriculture Healthcare Artiļ¬cial Intelligence +
- 20. Thinking Machines Data Science IBM Watson Being trained to use data to diagnose lung cancer at the Memorial Sloan-Kettering Cancer Center. āWe are Watsonās teacher.ā Dr Craig Thompson MSK President & CEO
- 22. Thinking Machines Data Science Google Self Driving Car Thinking Machines Data Science
- 23. Thinking Machines Data Science Everyone Elseās Self Parking Cars Thinking Machines Data Science
- 24. Thinking Machines Data Science Skycatch Drones Drones + Computer Vision for construction and disaster relief. Komatsu, the worldās 2nd largest construction company, uses robotic vehicles to scoop rocks and ļ¬ying drones to guide the vehicles!
- 25. Thinking Machines Data Science The Tool Framework 04
- 26. Thinking Machines Data Science The HOW e.g. 1. Machine Learning 2. Natural Language Process 3. Natural Language Generation 4. Deep Learning / Neural Networks 5. Computer Vision Advances in this category ļ¬rst show up in academic research, then businesses ļ¬nd ways to apply these tools to problems.
- 27. Thinking Machines Data Science Fraud Detection The original AI fraud detection company "We try to ļ¬gure out what they're going to do so we can stop them before or in the act.ā ~ Max Levchin, Paypal founder http://www.bloomberg.com/bw/stories/2002-09-30/max-levchin-online-fraud-buster
- 28. Thinking Machines Data Science Fraud Detection These companies use machine learning to ļ¬ag ļ¬nancial fraud: Prediction Clustering Classiļ¬cation
- 29. Thinking Machines Data Science Computer Vision Translating pictures with Convolutional neural networks Deep Learning Finding Mayan ruins with high-res satellite image transforms
- 30. Thinking Machines Data Science Recommendation Engines These companies use recommendation methods like: Collaborative Filtering Matrix Factorization
- 31. Thinking Machines Data Science Special Mention: Data Science Support Companies These companies build tools for data scientists. Big Data Processing Hadoop Services Semi-automated Model Building Semi-automated Model Deployment
- 32. Thinking Machines Data Science Thinking Machines Data Science Scene from Her How might Artiļ¬cial Intelligence impact the Philippines? 05
- 33. Thinking Machines Data Science Hybrid AI, or The Augmented Human Blurring the lines, are you talking to a human or a machine?
- 34. Thinking Machines Data Science Near-Future Jobs Augmented Reality Designer Drone Operations Handler Human Organ Designer Artiļ¬cial Personality Designer AI Customer Service Supervisor The Most Important Design Jobs of the Future. Fastcodesign.
- 35. Thinking Machines Data Science The Philippine BPO Industry http://www.ncc.gov.ph/ļ¬les/lacdao_phil_it_bpo_roadmap.pdf http://www.rappler.com/brandrap/stories/98207-bpo-philippines-timeline We have over 1 Million full time BPO jobs, >5.4% of total GDP. In 2012, India had >2.8 million BPO jobs.
- 36. Thinking Machines Data Science Manufacturing: Taiwan Global Trading: Singapore Manufacturing: South Korea Weāre primed to leverage remote work to rise up as a global economic player.
- 37. Thinking Machines Data Science WARNING: We canāt expect the next 5 years to look like the last 5 years. Problem: The Philippines was #1 in Voice jobs as of 2012 (which will be a problem as computer start talking more). Opportunity: We are global domain experts in BPOs.
- 38. Thinking Machines Data Science We can be the global capital of Hybrid Intelligence! Hybrid Intelligence = Humans +Machines (AI)
- 39. Thinking Machines Data Science Thinking Machines Data Science http://stories.thinkingmachin.es We help companies use data to supercharge their work.