Uploaded byPiyush Malik
Towards a Smarter Data Driven Future
The document discusses how emerging technologies like artificial intelligence, robotics, machine learning, and cognitive computing are transforming our data-driven world. It notes that data is growing exponentially and describes challenges around data uncertainty, ambiguity, and information overload. The document outlines popular use cases of data and analytics across industries and imagines how data could help various business leaders. It also discusses innovative applications of technologies like using fitness data for healthcare and crowdsourced traffic data for fleet management.
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Towards a Smarter Data Driven Future
- 1. © 2015 IBMCorporation Baltimore, MD October 13th, 2015 Opening Keynote: Towards a Smarter Data Driven Future Journey from Big Data to Smart Data Piyush Malik Global Business Services, @pmalik1 #IDQS15 IBM Silicon Valley
- 2. © 2015 IBMCorporation2 1 Our Data World Today 2 Emerging Technologies 3 Future in a Data-Driven Economy Outline
- 3. © 2015 IBMCorporation3 What movies you should watch What ads show up based on browsing history, likes, preferences, and so forth or location even on your phone as you are driving around How you connect to your friends What subjects you are interested in, how YOU influence the world We live in a data-driven world
- 4. © 2015 IBMCorporation4 Change or Perish Disrupt or be Disrupted What interests you, how YOU influence the world and how would you like to TRANSFORM Which is rapidly transforming
- 5. © 2015 IBMCorporation5 Data is an invisible thread permeating our lives in many ways
- 6. © 2015 IBMCorporation6 Data highlighted in Mainstream News
- 7. © 2015 IBMCorporation7 Big Data & Analytics has been a popular topic in client discussions 2012 2013 2014 2015 Volume Velocity Variety Veracity Confluence of Social, Mobile, Cloud, Big Data, and Analytics Systems of Insight Data Transforming Industries Data will disrupt IT in the every industry Mobile Social Cloud Internet of Things Data Big Data has been a popular topic in discussions
- 8. © 2015 IBMCorporation8 8 >80% Unstructured Data + External Data “Untouched” Data + Stream of Data Enterprise Data Machine Data People Data Visualizing the concept of Big Data
- 9. © 2015 IBMCorporation9 AI Robotics etc placeholder Data Deluge Continues unabated Infographic Source: https://web-assets.domo.com/blog/wp-content/uploads/2015/08/15_domo_data-never-sleeps-3_final1.png
- 10. © 2015 IBMCorporation10 1 in 2 business leaders do not have access to data they need 83% of CIO’s cited Business Intelligence (BI) and analytics as part of their visionary plan 5.4X more likely that top performers use business analytics 80% of the world’s data today is unstructured 90% of the world’s data was created in the last two years 20% of available data can be processed by traditional systems Source: GigaOM, Software Group, IBM Institute for Business Value" Data Data Everywhere
- 11. © 2015 IBMCorporation11 11 As dataset size increases, so do anomalies
- 12. © 2015 IBMCorporation12 Make decisions on untrusted information1in 3 60% Don’t have necessary information1in 2 Time spent per big data project to find, prepare, understand & defend information due to lack of context 80% Have more data than they can use60% Our World today must deal with data uncertainty & ambiguity
- 13. © 2015 IBMCorporation13 Way the World Works with Data is evolving Data is Growing at an Accelerating Pace Users Demand Better Access to Data Cloud Facilitates Access for All But there’s a problem . 13
- 14. © 2015 IBMCorporation14 Business Users Want to Access More Data Business Users Already Suffer from Information Overload The Big Data Paradox All You Can Eat Buffet
- 15. © 2015 IBMCorporation15 Chief Marketing Officer ...could predict the right offer for the right customer at the right time and improve customer intimacy or prevent churn? Chief Product Designer ...could consider the risk and profitability of the entire customer relationship chain, lifetime value and predict demand trends when designing and pricing new product offerings? Chief Finance Officer ...could streamline compliance and understand risk exposure across businesses and regions? Chief Risk Officer ...uses anti fraud predictive analytics to detect and prevent rapid fire anomalous transactions or wire transfers identified as high probability of fraud? Chief Executive Officer ...could make better business decisions using accurate data across all time horizons: past, present and future? Chief Information Officer ...could analyze oceans of machine generated logs to predict which components or equipment in the datacenter are likely to fail and thereby avert a disruption during critical quarter end? Big Data holds opportunities for a number of stakeholders Imagine If..
- 16. © 2015 IBMCorporation16 Customer Retention and Growth Next Best Action Claims Fraud Smart Meters Asset Performance Management Next Best Action Network Analytics Tax Fraud, Waste and Abuse Consumer360 Insights Provider Outcome Analytics Deliver a Smarter Shopping Experience Merchandise Planning & Optimization Track & Trace Supply Chain Management Actionable Consumer Insight Compliance and Risk Social Program Integrity Banking E & U Government Retail Insurance Telco Healthcare Industrial Popular use cases of Data across all Industries
- 17. © 2015 IBMCorporation17 Overview of Analytics, Big Data & Watson Module Data is the new natural resource that needs to be harnessed amidst characteristics of rising volumes, variety and velocity Embracing Analytics enhances the chances of an enterprise to succeed amongst its peers by a factor of 5 Complexity of integrating Big Data and Analytics is driving demand for cloud based BD&A solutions We are unleashing a new era of computing Data is an asset ..are you treating it as a liability?
- 18. © 2015 IBMCorporation18 © 2014 IBM Corporation 18
- 19. © 2015 IBMCorporation19 1 Our Data World Today 2 Emerging Technologies 3 Future in a Data-Driven Economy Outline
- 20. © 2015 IBMCorporation20 Hot & Emerging Technologies Artificial Intelligence Robotics Deep Learning/NLP/Machine Learning Contextual & Cognitive Computing Internet of Things SyNAPSE: Neurosynaptic Computer chips mimicking human brain
- 21. © 2015 IBMCorporation21 Evolution of Artificial Intelligence (AI) through history 21 1974- 1980: 1st AI “Winter” 1950s 1960s 1970s 1980s 1990s 2000s 2010… 1956: “Birth” of AI John McCarthy coins term artificial intelligence (AI) at Dartmouth Conference 1965: First Expert System Stanford team led by Ed Feigenbaum creates DENDRAL 1987- 1993: 2nd AI “Winter” 1950: Turing Test Turing introduces way to test for intelligent behavior 1990s: AI on www AI-based extraction programs prevalent on www 1997: Deep Blue IBM Deep Blue defeats World Chess Champion 2011: Watson IBM’s Watson competes and wins on Jeopardy! 2005: Autonomous Car Stanford-built autonomous car wins DARPA Grand Challenge 2014: Key Market Moves IBM formation of Watson Group and Google acquisition of Nest Labs 1860-1900s 1869: “Birth” of Intelligent Machines William S Jeavons creates Logic Piano 1887: Birth of Early AI Charles S Pierce
- 22. © 2015 IBMCorporation22 1960-2000 Industrial robots revolutionize manufacturing 2000-2010 Cuddly pet “Aibo” entertaining to room cleaning Roomba get mainstream 2011: “New UCSF Robotic Pharmacy Aims to Improve Patient Safety” 2011: “Japanese Robot Debones 1,500 Chickens Per Hour” 2014: “Royal Caribbean's Quantum of the Seas Features a Bionic Bar with Robot Bartenders” 2015 “Chinese factory replaces 90% staff with robots, productivity up 163%, reduces quality problems 5 folds” 2012: “Meet South Korea’s New Robotics Prison Guards” 2013: “New Sedation Machine Promises Cheaper Colonoscopies; Doctors Fight Back” AI powered robots are ready to take up any challenge
- 23. © 2015 IBMCorporation23 “Thinking Machines” emerging from science fiction are now a reality and sometimes fear inducing
- 24. © 2015 IBMCorporation24 Yet, Race to supremacy continues with Multi-Billion Dollar Investments 2012 Foxconn - 1 million robots 2012 Amazon – Kiva $775 million 2013 Facebook – AI lab, DeepFace 2013 Yahoo - LookFlow 2013 Ebay – AI lab 2013 Allen Institute for AI 2013 Google – DNNresearch, SCHAFT, Industrial Perception, Redwood Robotics, Meka Robotics, Holomni, Bot & Dolly, Boston Dynamics 2014 IBM - $1 billion in Watson 2014 Google – Nest $3.2 Billion & DeepMind $500 million 2014 Vicarious - $40 million 2014 Microsoft – Project Adam, Cortana 2015 Baidu – “China Brain” AI project akin to Apollo Space Program 2015 IBM – Merge Health $1Billion
- 25. © 2015 IBMCorporation25 Warning sirens of Danger have been sounded as well The Famous Physicist Success in creating AI would be the biggest event in human history. Unfortunately, it might also be the last, unless we learn how to avoid the risks. – Stephen Hawking Out of the world thinker and Entrepreneur We need to be super careful with AI. Potentially more dangerous than nukes. – Elon Musk
- 26. © 2015 IBMCorporation26 From science fiction to reality We’ve come a long way Imagination Innovation … and this is only the beginning!
- 27. © 2015 IBMCorporation27 Innovation unleashed with NLP/Deep/ Machine Learning
- 28. © 2015 IBMCorporation28 Smarter Data Driven Applications of Robotics/AI/Cognitive are at work today to improve Humanity Clean up pollution Prevent medicinal errors Disaster response Cure cancer and other diseases Create cheap power, food, water Prevent crime Increase trust in police Eliminate drudgery Simplify the law Improve learning Create financial stability http://www.interiorholic.com/other/gadgets/ocean-robot-cleaner/ http://www.aaai.org/ojs/index.php/aimagazine/article/view/2345 http://www.pouted.com/wp- content/uploads/2013/02/solar- power-robot-operation.jpg http://www.technologyreview.com/ news/428354/la-cops-embrace- crime-predicting-algorithm/ http://www.salon.com/2014/08/22/m ake_cops_wear_cameras_a_simple_w ay_to_hold_the_police_accountable/ http://www.elearning- technologies.com/artificial-intelligence/
- 29. © 2015 IBMCorporation29 29 Distribution to Creation branches into new businesses by leveraging viewing data to create a hit series Fitness Data to Healthcare leverages fitness data, partners with activity trackers to create HealthGraph GPS to Fleet Management? crowdsources traffic, road hazard, and police information – a credible basis for fleet management 2 Netflix Runkeeper Waze ORANGE is the new BLACK Innovative Uses of Data Creates New Businesses
- 30. © 2015 IBMCorporation30 Data is Disrupting Industries .. t the world’s largest taxi company, owns no vehicles. Face the world’s most popular media owner, creates no content. the most valuable retailer, has no inventory. e world’s largest accommodation provider, owns no real estate. They are all new age Data – Driven companies! Guess who will be next? Are you ready to disrupt?
- 31. © 2015 IBMCorporation31 3 Future in a Data-Driven Economy Outline 1 Our Data World Today 2 Emerging Technologies
- 32. © 2015 IBMCorporation32 5 Ways Data will drive our future 1. Hyper Personalization will become the norm 2. Contextual and Cognitive apps will make us smarter 3. Privacy will evaporate sooner than you think, while need for continuous refinement to boost trustworthiness of data will be paramount 4. Digital currencies will make way for a nearly cashless society 5. Innovative Data Products will mushroom around us boosting Open Data movement and creating opportunities to disrupt or create entire industries
- 33. © 2015 IBMCorporation33 5 ways Data will TRANSFORM the world Automatic recognition of medical images (131 categories) MRI Brain Axial DX Torso DX Cervical Spine PET Color DX Appendage MRI Knee 1. Lifesciences & Healthcare Universal Access to best healthcare ANYWHERE Personalized Medicine Wearables enable proactive treatment and monitoring Video Analytics
- 34. © 2015 IBMCorporation34 5 ways Data will TRANSFORM the world 2. Automotive Driverless cars reduce accidents Preventive maintenance saves lives Connected Vehicles aware of weather and road hazards Insurance industry disrupted Find my car Unlock my car Vibration detected, details published Schedules service appointment Predicts part failure Weather Data
- 35. © 2015 IBMCorporation35 5 ways Data will TRANSFORM the world 3. Smarter Cities Data shared between agencies Citizens Safer Smarter Parking and Traffic management IOC enables to plan ahead and respond to emergencies in minutes
- 36. © 2015 IBMCorporation36 5 ways Data will TRANSFORM the world 4. Education Everybody will have access to educational resources Free resources like MOOCs tailor and adapt to individual learning patterns Backoffice resources and processes optimized Improved teaching effectiveness and learning outcomes
- 37. © 2015 IBMCorporation37 One More Thing . Dataiseatingourworld… makesureitisTrustworthy Dataiseatingourworld… makesureitisTrustworthy
- 38. © 2015 IBMCorporation38 Summary 3 Future in a Data-Driven Economy 1 Our Data World Today 2 Emerging Technologies
- 39. © 2015 IBMCorporation39 Q&A any final questions ? Piyush Malik WW Big Data Analytics CoE Leader Global Business Services Slicon Valley Innovation Labs 4400 N First Street San Jose CA 95131 +1 510 3049890 Piyush.malik@us.ibm.com @pmalik1