Keynote address at NFAIS 2016 in Philadelphia PA on February 21st 2016 focused on how the Cogntive Era is transforming our lives, creating new careers, and inspiring innovation.
Data is the new oil. Our ability to make use of ALL data anytime anywhere is transforming our world.
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/
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.
This next section provides clear examples of innovating with data.
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.
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.
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.
Open data, is a wave of opportunity to remake our world.
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.
Empowering the Citizen Analyst & Citizen Data Scientist to solve real problems facing Oregon
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
Greater London is a global leader taking advantage of open data. Visit the homepage and explore their dashboard and available datasets.
Want to learn more – tell your audience about the City as Platform report -- http://bit.ly/cityasplatform
Cities face common challenges. The City as Platform approach provides a strong base to drive change with data, citizen action, and engaged civic leaders.
Everything can be measured. Cities are actively measuring air quality, water quality, traffic, transit, noise, weather, tides, people, anything that be sensed & measured.
The Rio operations center.
Making better decisions requires confidence. Let’s talk about how Watson uses Cognitive to do just that.
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.
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
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.
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.
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.
Today’s systems are difficult to secure. So difficult that many fail, and fail badly.
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.
Today’s systems are very complex. We can expect many more organizations to get hacked.
Systems
Resiliency
Complexity
Distributed Systems
Ethics of Use
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.
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."
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
A business leader needs a comprehensive view of data, analytics, and putting it to work
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.
The complete user experience is now a minimum bar.
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.
Every professional needs to become a citizen analyst in the data driven economy
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
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.
With the data engineer data scientists will accomplish little.
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.