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Preparing the next generation for the cognitive era - NFAIS Keynote
The document discusses the transformative impact of data and technology on various industries, emphasizing the emergence of new professions such as data scientists and data engineers. It outlines the role of the Internet of Things and cognitive computing in improving efficiency and decision-making in sectors like healthcare and urban development. Additionally, it highlights the need for data literacy and the evolution of job roles to adapt to a data-driven economy.
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Preparing the next generation for the cognitive era - NFAIS Keynote
- 1. © 2016 IBMCorporation Preparing the Next Generation for the Cognitive Era NFAIS 2016 February 21st 2016 Steven Miller February 21st 2016
- 2. © 2016 IBMCorporation2 Where code goes, where data flows, cognition will follow.
- 3. © 2016 IBMCorporation3
- 4. © 2016 IBMCorporation4 1 Information of Everything 2 Internet of Things Platforms 3 Advanced Machine Learning 4 Autonomous Agents & Things 5 The Device Mesh 6 Ambient User Experience 7 Advanced System Architecture 8 Mesh App & Service Architecture 9 Adaptive Security Architecture 10 3D Printing Materials Gartner’s Top 10 Trends Shaping the future – 2016
- 5. © 2016 IBMCorporation5 Data is transforming industries and professions
- 6. © 2016 IBMCorporation6 New data & analytics professions are emerging Data Scientist Data Engineer Data Policy Professional Chief Data Officer
- 7. © 2016 IBMCorporation7
- 8. © 2016 IBMCorporation8 Internet of Things We can sense & measure anything Did I shut my oven off? Lock my front door? Check on my elderly relative Find my lost keys Identify equipment about to fail Track Assets Monitor Pollution Levels … We’re just getting started
- 9. © 2016 IBMCorporation9 Tremendous growth of sensors generating data McKinsey - The Internet of Things: Sizing up the opportunity
- 10. © 2016 IBMCorporation10 ‘Customer Curated Data’ Platforms Illustration by Lisa Larson-Walker/Slate
- 11. © 2016 IBMCorporation11 Extracting value from ‘Data Exhaust’
- 12. © 2016 IBMCorporation12 Ever been taken for ‘a ride’ in a taxi? I challenged the first night’s fare Uber refunded the difference Monday Night Tuesday Night
- 13. © 2016 IBMCorporation13 open data Data that can be freely used, re-used and redistributed by anyone - subject only, at most, to the requirement to attribute and share alike.
- 14. © 2016 IBMCorporation14 http://bit.ly/trimetandgoogle General Transit Feed Specification Reference https://developers.google.com/transit/gtfs/reference
- 15. © 2016 IBMCorporation15 Making Public Information, Public Knowledge http://www.hackoregon.org/
- 16. © 2016 IBMCorporation16 Recent & Ongoing Hack Oregon Projects Data for Civic Good Teams comprised of journalists, developers, designers, subject matter experts & students. Aftershock Crop Compass (Agriculture) PlotPDX (Explore Change) Raise Effect (Living Wage) FortyForty100 (Education) http://bit.ly/after-shock Pioneer Courthouse
- 17. © 2016 IBMCorporation17 http://data.london.gov.uk/
- 18. © 2016 IBMCorporation18 Smart city A smart city gathers data from smart devices and sensors embedded in its roadways, power grids, buildings, waterways, anything that can be sensed. To deliver improved health, more efficient infrastructure systems, cleaner environments, and safer and more inclusive societies.
- 19. © 2016 IBMCorporation19 Common challenges facing civic leaders Thriving vital economy Productivity Livability Inclusive society Living wages for families
- 20. © 2016 IBMCorporation20 Putting Sensors to work in your city
- 21. © 2016 IBMCorporation21 Smarter Cities Operations Centers – putting Data to Work
- 22. © 2016 IBMCorporation22
- 23. © 2016 IBMCorporation23
- 24. © 2016 IBMCorporation24 When you think about what a doctor does every day: they gather evidence about a patient they form a set of hypotheses (possible diagnoses) they make a diagnosis and recommend a treatment Can we improve their degree of confidence in the diagnosis and chosen treatment with Cognitive?
- 25. © 2016 IBMCorporation25 Provides evidence-based suggestions to support oncologists’ decisions by: Combining patient data with massive volumes of medical literature, including journal articles, physicians’ notes, and NCCN guidelines and best practices Ongoing learning from new oncology techniques, treatments, and evidence IBM Watson for Oncology
- 26. © 2016 IBMCorporation26 AUSTIN, Texas Students from The University of Texas at Austin won $100,000 in seed funding for developing an idea for a smart phone app that would use artificial intelligence to help Texas residents get information about health care, food assistance and other social services in partnership with the United Way for Greater Austin's 2-1-1 Navigation Center.
- 27. © 2016 IBMCorporation27 What toy should I buy a 3 year old for X-mas? Watson intelligently analyzed millions of conversations across social networks, blogs, forums, comments, ratings, and reviews and suggested LeapPad.
- 28. © 2016 IBMCorporation28 Happy Grandson Thanks Watson !
- 29. © 2016 IBMCorporation29
- 30. © 2016 IBMCorporation30
- 31. © 2016 IBMCorporation31
- 32. © 2016 IBMCorporation32
- 33. © 2016 IBMCorporation33
- 34. © 2016 IBMCorporation34 Growing Demand for Data Policy Skills Data is a core business asset! • Curate • Consistency • Quality • Protect • Availability • Comply • Lifecycle
- 35. © 2016 IBMCorporation35 Data literacy Understanding how to use & program computers is not enough in a data driven world. Every profession. Every career is impacted by data, by analytics, by cognitive. Everyone must become data literate.
- 36. © 2016 IBMCorporation36
- 37. © 2016 IBMCorporation37 In the Cognitive Era everyone must be data literate Define problems Wrangle Data Self-Manage Data Choose Methods and Tools Analyze Data Communicate findings Engage in Lifelong Learning
- 38. © 2016 IBMCorporation38 Data What data could solve this problem? What existing business data is relevant? What can I attach a sensor to? Is there available government open data? Can data be acquired from other sources? Analyze What models & methods can I apply to solve this problem? Descriptive Predictive Prescriptive Cognitive / Machine Learning Visualization / Story telling Operations How to apply to our business? • Create / amend business processes? • Create new businesses? Close existing ones? • Enter new markets? … Design Thinking Communication T-shaped Skills
- 39. © 2016 IBMCorporation39 The T- Shaped Professional
- 40. © 2016 IBMCorporation40 Design Literate too Design thinking enables teams to innovate at speed
- 41. © 2016 IBMCorporation41
- 42. © 2016 IBMCorporation42 Citizen Analyst Data Scientists Data-Science Enabled Professional Data Engineers Chief Data Officers Emerging & evolving professions and job roles
- 43. © 2016 IBMCorporation43 The Citizen Analyst The data driven economy places data in the hands of every professional.
- 44. © 2016 IBMCorporation44 What is a data scientist? Data Science skills demand on fire!!!
- 45. © 2016 IBMCorporation45 Data Science is a diverse field Human Data Scientist Primary focus is advising the business Make sense of any dataset(s) Apply any form of analytics from descriptive to cognitive Visualization experts Data Storytellers Machine Data Scientist Primary focus is writing advanced algorithms for: Advanced Robotics Self driving cars Recommendation engines Virtual Assistants IBM Watson
- 46. © 2016 IBMCorporation46 The Data Engineer https://www.linkedin.com/job/data-engineer-jobs 65,022 Data Engineer jobs February 14th The Data Engineer builds the - modern data systems needed by data scientists & developers. - Complex - Scale, often extreme scale - Near-real time performance - Diverse data sources & types - Secure
- 47. © 2016 IBMCorporation47 The Chief Data Officer Chief Data Officers understand how to use data to create strategic opportunities; responsible for organizational data strategy & governance
- 48. © 2016 IBMCorporation48
- 49. © 2016 IBMCorporation49 http://bit.ly/dataskillsgap @brandsteve
Editor's Notes
- #2 1
- #4 Data is the new oil. Our ability to make use of ALL data anytime anywhere is transforming our world.
- #5 Data plays a role in every single one of these trends. http://www.gartner.com/newsroom/id/3143521 http://www.gartner.com/smarterwithgartner/top-ten-technology-trends-signal-the-digital-mesh/
- #6 R. “Ray” Wang http://blogs.hbr.org/2012/12/what-a-big-data-business-model Delivery networks enable the monetization of data. To be truly valuable, all this information has to be delivered into the hands of those who can use it, when they can use it. Content creators — the information providers and brokers — will seek placement and distribution in as many ways as possible. Brokering augments the value of information. Companies such as Bloomberg, Experian, Dun & Bradstreet already sell raw information, provide benchmarking services, and deliver analysis and insights with structured data sources. In a big data world, though, these propriety systems may struggle to keep up. Opportunities will arise for new forms of information brokering and new types of brokers that address new unstructured, often open data sources such as social media, chat streams, and video. Organizations will mash up data to create new revenue streams. Differentiation creates new experiences. For a decade or so now, we’ve seen technology and data bring new levels of personalization and relevance. Google’s AdSense delivers advertising that’s actually related to what users are looking for. Online retailers are able to offer — via FedEx, UPS, and even the U.S. Postal Service — up to the minute tracking of where your packages are. Map services from Google, Microsoft, Yahoo!, and now Apple provide information linked to where you are.
- #8 This next section provides clear examples of innovating with data.
- #11 An entire industry has arisen that profits from the data we provide for free. Our resume, our food & beer checkins, our yelp & trip advisor reviews.
- #12 New relic is a leader helping cloud providers maintain 24x7 availability. The old-school call support when an outage occurs, wait for the maytag repairman to show up, fix it and reboot is no longer viable. Now we must predict failures and correct them BEFORE they happen. Kabbage is the new leader in small business lending. If your business is real, we can figure it out in seconds. Got a Yelp profile. People like you. People talk about you on Twitter and other social properties. Good. Here is the 10,000 line of credit you asked for.
- #13 Uber is using DATA to remake an old stodgy business that customers hate. Need a ride at 2am… no problem. Uber will find you a car and it will show up in minutes. Don’t have $20 in cash… no problem. Thank the driver get out of the car and go on your way. Have trouble explaining to the taxi driver where you are? No problem here’s my exact address, or at least my GPS coordinates. Tired of getting ripped off by taxi drivers? No problem. Uber drtivers who deliberately run up the fare are tracked every step of the way. Get your money back America. And and you get to rate your driver and your driver gets to rate you. It pays to be a good driver and to be a good customer.
- #14 Open data, is a wave of opportunity to remake our world.
- #15 Portland Tri-Met partnered with Google to create the Transit Feed which is now in use all over the globe. Now it’s real time too. Put a sensor on your bus, on your train. Never miss a train or bus again.
- #16 Empowering the Citizen Analyst & Citizen Data Scientist to solve real problems facing Oregon
- #17 Example projects led by Hack Oregon teams. If you want to try Aftershock, visit the site and type in a landmark such as Pioneer Courthouse
- #18 Greater London is a global leader taking advantage of open data. Visit the homepage and explore their dashboard and available datasets.
- #19 Want to learn more – tell your audience about the City as Platform report -- http://bit.ly/cityasplatform
- #20 Cities face common challenges. The City as Platform approach provides a strong base to drive change with data, citizen action, and engaged civic leaders.
- #21 Everything can be measured. Cities are actively measuring air quality, water quality, traffic, transit, noise, weather, tides, people, anything that be sensed & measured.
- #22 The Rio operations center.
- #23 Making better decisions requires confidence. Let’s talk about how Watson uses Cognitive to do just that.
- #24 In 2011 Watson competed against Ken Jennings & Brad Rutter. As we have all heard, Watson beat the best players in the world. Watson knew more, could answer faster, and pressed the button only when Watson determined its answer a high degree of confidence, otherwise it didn’t push the button at all. IBM donated the $1M prize to charity.
- #25 When doctors face challenges they face every day.. Their knowledge and experience is easily up to the task. Many problems they see, however are rare, or at least rare for them. What would happen if we applied Watson to one of the greater challenges of our time? Cancer
- #26 NCCN = National Comprehensive Cancer Network This slide is self explanatory. Yes, Watson has proven to be quite adept at helping doctors diagnose and recommend treatment for cancers. Poor diagnoses are a huge burden on the cost of health care and an even bigger burden on the patient. If the correct treatmet is the 3rd or 4th one tried it’s often too late.
- #27 We have put the power of Watson in the hands of student teams. Here is a great example of putting Watson to work solving a greater good challenge in Texas.
- #28 In the fall of 2015 IBM released an iOS & Android app called Watson Trend. I downloaded it and used it to choose a gift for my 3 year old grandson. I had no idea where to start. But Watson did.
- #30 Today’s systems are difficult to secure. So difficult that many fail, and fail badly.
- #31 The US government in particular is very prone to failure. The CIA, the OMB, the FBI and the IRS have all been successfully attacked embarrassing the country, putting citizens at risk, and harming global relationships. Trane’s Home IoT solution was hacked. Ashley Madison’s client list was hacked and published for all to see. Target put an anchor around their earnings that they still have not recovered from. This list is just a handful of recent or very profile embarrassments.
- #32 Today’s systems are very complex. We can expect many more organizations to get hacked. Systems Resiliency Complexity Distributed Systems Ethics of Use
- #33 Here is a representative system expressed in Node-Red (an IBM technology used to compose IoT systems). Complex systems are difficult to understand, and therefore difficult to secure & trust. The skills to meet this challenge head-on are rare and difficult to source.
- #35 http://www.gartner.com/newsroom/id/2506315 “The underlying message of all these examples is that information is an asset in its own right. It has value. Gartner calls this emerging discipline of valuating information "Infonomics.It is not something of the far future, in fact, this is happening today in various industries, in commerce and public sector, in large and small enterprises.” However, Mr. Buytendijk underlined the fact that as exciting as all new business opportunities are, there are also reasons for concern. Concerning the ethics of big data, a recent Gartner Circle study showed that "governance and privacy" was the most important concern around big data – clearly there is a fine line between superior customer insight and being "creepy."
- #38 In partnership with Oceans of Data we brought a group of experts together from industry & academia to define data & analytics literacy. These are the top level recommendations. Michael Bowen Associate Professor, Science Education, Mount Saint Vincent University, Halifax, Nova Scotia Ben Davison Quantitative User Experience Researcher, Google Rob Gould Faculty, UCLA Department of Statistics Ryan Kapaun Crime Analyst, Eden Prairie Police Department Cliff Konold Director, Scientific Reasoning Research Institute, University of Massachusetts, Amherst Juan Miguel Lavista Ferres Principal Data Scientist at Bing/Microsoft Odette Merchant Project Manager, Nova Scotia Community College (NSCC), Halifax, Nova Scotia, Canada Andrew Schaffner Professor of Statistics, California Polytechnic State University, San Luis Obispo Hunter Whitney Consultant, Author, and Instructor; UX and Data Visualization Sponsored by Steven Miller IBM Moderated by the Oceans of Data Team
- #39 A business leader needs a comprehensive view of data, analytics, and putting it to work
- #40 http://tsummit.org What is a T-shaped professional? Currently higher education is producing I-shaped graduates, or students with deep disciplinary knowledge. T-shaped professionals are characterized by their deep disciplinary knowledge in at least one area, an understanding of systems, and their ability to function as “adaptive innovators” and cross the boundaries between disciplines. The two vertical bars of the "T" represent the disciplinary specialization and the deep understanding of one system. Systems describe major services, such as transportation, energy, education, food, and healthcare, that impact quality of life. These systems are comprised of interconnected components of people, technology, and services. To understand a system, one must know how it functions from the bottom to top in order to address challenges. The defining characteristic of the “T-shaped professional” is the horizontal stroke, which represents their ability to collaborate across a variety of different disciplines. To contribute to a creative and innovative process, one has to fully engage in a wide range of activities within a community that acknowledges their expertise in a particular craft or discipline and share information competently with those who are not experts.
- #41 The complete user experience is now a minimum bar.
- #43 A sampling of emerging professions and roles. This is not meant to be an exhaustive list. We will lay these out in more detail in the slides to follow.
- #44 Every professional needs to become a citizen analyst in the data driven economy
- #45 Key points. Data science is complicated. No one will be expert in every aspect. Individuals will specialize. Teams will be required. Data science enabled is growing much faster than data scientist. http://www.oralytics.com/2012/06/data-science-is-multidisciplinary.html http://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century
- #46 Human data scientists support the business or lines of business helping them understand and make better decisions. Machine data scientists drive the machines that run much of the cognitive world.
- #47 With the data engineer data scientists will accomplish little.
- #48 http://bit.ly/ibmcdostudy The chief data officer is growing fast… not sure what drove the plunge in Indeed’s data but instead focus on the trend line.
- #49 What will you invent?
- #51 50