Adam Gartenberg's Blog

Business Analytics and Optimization, IBM and Social Marketing

Get ready for the big game: NFL stats now available in Watson Analytics

If two days is still too long for you to wait for the Super Bowl (or maybe you're already working on next year's fantasy draft), we've got good news for you.  You can find all kinds of statistics from this year's NFL season available in the online Watson Analytics system for whatever kind of analysis you want to run.

As described in more detail here, "In order to help sports fans get started, IBM uploaded a slew of offensive statistics from the 2014 NFL season (provided by SportsData LLC) into its database.... From there, fans can explore data visualizations of how certain trends played out during the season — like a weekly breakdown of interceptions thrown by the home and visiting teams — and even ask the system predictive questions like, 'Which factors lead to rushing touchdowns?'"

You can find instructions and a demo on using Watson Analytics to analyze the NFL stats in the Watson Analytics Storybook.

Or - if American football isn't your thing - IBM also announced today enhancements for its coverage of the Australian Open.  "IBM SlamTracker has been redesigned with new point-by-point data visualizations, commentary and statistics that include player and ball movement data for the first time ever at the Australian Open. IBM CrowdTracker, new for 2015, will provide fans with live match, venue and social information via and the official Australian Open apps."

Press release:
 IBM serves real time interactive data to fans at the Australian Open

Two new commercials: IBM Watson Analytics and IBM and Twitter

IBM recently started airing two new commercials focused on IBM's analytics capabilities.  The first highlights the way that the new IBM Watson Analytics can help you make sense of your data and find new opportunities.  The second highlights an example of how organizations can take advantage of the IBM and Twitter partnership to learn more about customers and apply that knowledge for competitive advantage.

How to make a smarter decision

How data can build a smarter business


How to make a smarter decision
Say you're a finance guy.  A farmer.  A researcher.

You used to depend on experience.  The internet.  Your gut.

Today you can use IBM Watson Analytics.  It can make sense of all kinds of data... uncover hidden correlations and new opportunities...  and give recommendations with more confidence on who will buy.  What to make.  Where to plant.

Which helps you make smarter decisions.

There's a new way to work, and it's made with IBM.

How data can build a smarter business.
Barbara just bought a bike. She wrote a Tweet about it.  You can't learn much from that.

But take data from millions of Tweets, combine that with your company's supply chain and sales data, apply IBM Analytics and expertise, and all of a sudden, you can learn which bikes to build, what to make them from, where to sell them.

Because Barbara and the world just told you how to build a better bike.

There's a new way to work, and it's made with IBM.

Watson Analytics Beta Now Available

Watson Analytics is now live in beta.  If you haven't already signed up, there's no time like the present.

ARMONK, N.Y. - 04 Dec 2014: IBM (NYSE: IBM) today announced that Watson Analytics, a breakthrough natural language-based cognitive service that can provide instant access to powerful predictive and visual analytic tools for businesses, is available in beta. See Vine( for a sneak peek now. IBM Watson Analytics automates the once time-consuming tasks such as data preparation, predictive analysis, and visual storytelling for business professionals. Offered as a cloud-based freemium service, all business users can now access Watson Analytics from any desktop or mobile device. Since being announced on September 16, more than 22,000 people have already registered for the beta. The Watson Analytics Community, a user group for sharing news, best practices, technical support and training, is also accessible starting today.

Link:  Watson Analytics

Go Inside Watson Analytics (Live Video Chat)

If you'd like to learn more about Watson Analytics, head on over here at 12pm ET on December 4th for a live video chat with big data experts to learn more about what led to its development and how it's being used in the real world.

Go Inside Watson Analytics

December 4, 2014 | 12:00PM ET

Are you ready to Go Inside Watson Analytics, IBM’s new tool that gives business users access to powerful analytics at their fingertips? Uncover the genesis and development of the new tool with IBM Experts, Thomas Dong and Kyle Weeks. Watch live as big data experts Miles Austin, Lillian Pierson, Tim Moran and Thomas Ciszek discuss first-hand experiences with the new solution. They'll share their individual use-cases and impressions with the IBM team.


Recap: Insight 2014 Day 3 General Session

I found the Day 3 general session of Insight 2014 to be quite interesting for a number of reasons.  Captain Richard Phillip's first-hand account of his ordeal and rescue was fascinating, and Kevin Spacey's keynote was one of the more inspiring messages at a conference like this.  On the business side, the challenges faced by Singapore in identifying illegal or dangerous activities in and around their ports was eye opening, and then of course there was the little matter of the landmark partnership between IBM and Twitter announced mid-way through the session.

Here are my notes from the session:

Jeff Jonas

  • NORA - Non-obvious relationship awareness.  Now called identity insight.
  • G2 - Sensemaking
  • G2 Vision
    1.  Evaluate each new observation against previous observations
    2.  Determine if what is being observed is relevant
    3.  Delivering this actionable insight to its consumer... fast enough to do something about it while it is still happening.
    4.  Doing it at substantial scale
Colonel David Tan, Singapore Maritime Domain Awareness - First customer for G2, using it to protect Singapore ports and waterways
1/2 of the world's supply of oil and 1/3 of global trade passes through Malacca Straights and Singapore Straights.  2000 ships pass through every day, of which 1000 will drop anchor in port.  (That works out to 1 every 2-3 minutes.)

What they have discovered with G2:  Which ships are doing illegal activities right in the sea.  (Trading oil, etc.)
  • e.g., which ships turn off their GPS's to hide location and sometimes identity.  Stays there for 30 hours.
  • Using satellites from above, can site that a ship is 3 meters higher off water than before the meeting, which likely means a transfer of freight without going to port.  No transmissions (causing danger for other ships).
  • Needed help to focus limited resources.  Jonas referred to their starting point as "Fantasy analytics" - where tried to start with the limited data that they had at the time.  The answer:  widening the observation spaces
  • How they perform their analysis:
  • Divide the region into space-time boxes.  e.g., 20km box by 1 day.  Can see where vessels hanging out in places that haven't before, or places they haven't been before, or places with little activity.
  • Looking for patterns:
  • Two ships come from opposite directions, meet up, then go separate ways, then meet back up somewhere else 22 hours later.
  • Or someone who has the same passport being used in two separate places at same time.
  • Vessels changing identities over and over again (like car changing license plate)

  • Identity Insight technology is now available in SPSS Modeler
  • G2 Sensemaking for AML (anti-money laundering) will be available soon for the banking industry

Captain Richard Phillips, Maersk Alabama, interviewed by Mark Jeffries

[Fascinating first-hand recounting of the hostage situation and subsequent rescue.]

Bob Griffin, GM, IBM i2 threat and counterfraud
  • i2 analyst notebook. (i2 Enterprise Insight Analysis)
  • Created 20 years ago for intelligence and law enforcement community.
  • Do visual hypothesis, relationship association, link analysis
  • Advanced 3d visualizations, geospatial analysis with partners like Esri

How was software used by teams
  • Enables the Navy and rescue teams to understand how hostage takers move, patterns in when they move (e.g., when moon is full?), what saying on social media
  • Package up and deliver intelligence to the point of the spear - folks on ground providing operational support, making decision on best way to intercede or disrupt and defeat the adversary
  • Allows to get complete picture on social awareness, understand who's on adversary group - their relationships within the group, who's a rising star, who has power.

Described what happens when someone logs into their website and indicates that they want to cancel their life insurance policy.  Within millisceonds, that information is flagged and routed out to the member services rep organization so that the rep has the opportunity to evaluate the member's account status and pick up phone and give them a call.  All of it is built all on the IBM stack.

Alistair Rennie, Paul Papas, IBM Interactive Experience
Twitter partnership -  "As of today, business decisions will never be the same."
  • Retail systems know what's on the shelf, but now can know what products people care about and are going across the street to buy at a competitor.  Do further - understand what drove the person to that specific store.  Companies can optimize supply chain based on what inventory will be needed before even there.
  • Imagine ability to identify the birth of a trend.  Move with speed to act on that new information.

Integrating Twitter with IBM technology in the cloud.  (One centralized place in the cloud where it will be easy to get access to.)
  • For business people, use it in sophisticated ways.  Why integrating it with Watson Analytics.  
  • Important for data professionals, and will integrate with Big Insights platform, for people doing sophisticated analysis
  • For Developers - will integrate into Bluemix.  Untapped creativity, and want to see what happens.

Kevin Spacey
On the difference between working with Netflix vs. a traditional network:
When pitched the idea for "House of Cards" to the networks, they wanted to see a pilot.  When pitched it to Netflix, they asked how many episodes they wanted to do.  Why the difference?  Data
  • Netflix knew their audience would do well with the show
  • They knew audience liked the director
  • They knew audience liked the British version
It was like having pre-ratings.  They knew who was going to watch the show before it aired.

Netflix has data:  they know when you pause the show, when you return, when you rewind, what zip code you're in.

Netflix will make 10 different versions of a trailer and tailor that trailer to you based on what you watch and where you are.  (If you watch a lot of Kevin Spacey movies, you got the trailer with a lot of Kevin Spacey in it.  If you watch a lot of David Fincher movies, you got a different trailer.)

It was estimated that Netflix would need to add around 500k more members to break even on their investment in the show, and have brought in 17 million members since the show launched.

Data allowed Netflix to agitate for change.  They started a war, and now HBO is responding with HBO Go as standalone offering, without requiring cable package.  CBS will make their shows available via streaming.  And the winner will be you.

Entertainment is not the only industry going through this change.  Uber is disrupting their industry.  Uber uses data to send cars to area where they expect to be demand, before the demand shows up.

IBM and Twitter partner on data analytics

Today's general session from Insight 2014 was interesting for a number of reasons (including an inspiring talk by Kevin Spacey), but I want to draw attention to an announcement made right in the middle of it: IBM's partnership with Twitter to integrate all tweets (sinceTwitter's inception) and full ongoing live stream into IBM's cloud-based analytics, customer engagement platforms and consulting services.

From the Wall Street Journal article on the partnership:

IBM will have access to the full public stream of tweets as they are posted, as well as all tweets generated since Twitter was founded in 2006, the companies said. The data will be shared with IBM’s roughly 10,000 consultants to help solve client problems.

Big Blue and Twitter plan to work together to develop new applications and services based on the information. The companies said they would allow third-party developers to integrate Twitter data into new cloud services they build using IBM’s tools.

The two companies also plan to jointly develop offerings for specific industries such as banking, consumer products, retail, travel and transportation.

Twitter data will be accessible from the recently announced Watson Analytics, and data analysts will be able to integrate it into IBM DataWorks, a cloud-based data refinery service.  Developers will be able to bring Twitter data into the cloud-based applications and solutions they develop on the Bluemix platform, and of course, IBM consulting services will be there to help organizations figure out how to put all of this information to use.

Why might a company want to look at Twitter data?  It can help you be the first in your business to know of a new trend.  Or not just understand what's happening with retail sales, but why it's happening.  Or not only optimize your supply chain based on current demand, but plan inventory based on a more accurate view of future demand.  See the links below to learn more.

Learn more:

When it comes to analytics, are you a spectator or a front runner?

Last week IBM's Institute for Business Value released their latest analytics study.  The important takeaway this time around:  The need for speed.

In 2014, several significant shifts occurred in the realm of big data – shifts business executives cannot afford to ignore. The most significant change: Velocity is now the value driver for big data.
Enter the speed advantage. Our sixth annual analytics study revealed a small group embracing this shift for competitive advantage. These organizations are significantly impacting business performance and market position through speed-driven data and analytics practices. To compete in today's digitally infused marketplace, organizations need to emulate these outperformers by swiftly acquiring, analyzing and acting on data.

These organizations – known as Front Runners – are embracing a data approach that seeks to minimize the time it takes to convert raw data into actions that positively impact business. Front runners do things differently from their competitive peers. They have implemented technologies and business models to acquire, analyze and act on data with speed and agility. They have honed their data management and analysis processes, enabled employees to access and act on insights at every opportunity, and begun to transform their organizations through end-to-end actions that combine digital interactions with business process re-invention.

In our 2014 study, “Analytics: The speed advantage,” the IBM Institute for Business Value delves into the habits of these speed-driven organizations to understand the best practices that differentiate them from others in the global marketplace. We examine the capabilities that enable them to more quickly acquire and manage data, analyze data faster, and act on data insights with speed and precision.

Download the full study here (registration required).

Recap: Insight 2014 Day 2 General Session

There were some great demos in today's Insight general session (and this technology is always better in live demos than pre-recorded ones, isn't it?  I've included the rough time stamps should you want to fast forward the replay once available to just see the demos.)  There was also a lot shared about how Watson technology is being applied to help oncologists, police investigators, and even chefs.  (See the link below for a chance to become a beta tester for Chef Watson).  We also heard first hand from Terry Jones, the founder of Travelocity and co-founder of Kayak, who is now starting a new venture, Wayblazer, built on Watson, and got a live demo geared around the Internet of Things.

Here are my notes from today's general session, and as a reminder, head over to the Insight GO site to watch tomorrow's session with Kevin Spacey and Captain Phillips (in the flesh, not Tom Hanks).

Mike Rhodin, SVP, Watson Group

How do we think?  Each of us in this room are experts in our own fields... but we're only humans.  We need help.  We're overrun by information.  Need analytic capabilities that turn big data into information, and then turn that information into knowledge.  Imagine a tool, coach, concierge that can help us see the world in new ways.  Strip out bias we have ingrained in our own cognitive frameworks.  Make decisions based on facts and research of others.  Cognitive computing can help us do that.

What makes Watson cognitive?

  • Understands and operates in natural language - just as if having conversation with another human being.  Watson understands the request in the complete context of the question.
  • Makes evidence based recommendations with clear levels of confidence.  No guesswork, just unbiased facts.
  • Not bound by memory or format.

Announcing new portfolio of Watson applications.
Designed for specific use cases, specific industries, users.
  • IBM Watson for Oncology:  To help doctors provide tailored cancer treatment
  • IBM Watson for Wealth Management:  Personalized financial advice to clients
  • Chef Watson: Spurring innovation in culinary arts

Can expect to see many more coming for the fields of legal, healthcare, finance, education and many more from IBM and partners

Demo:  Watson Oncology - Mark Megerian
  • Will demo a working, live system.  Partnered with Memorial Sloane Kettering on this solution, bringing together the cognitive power of Watson and expertise of Memorial Sloane Kettering.
  • Example:  67 year old female with stage 2 breast cancer.
  • Watson has access to all of her history and notes.  Oncologist can go through and look at summary extracted from those notes by Watson.  First, have to verify all the info that's been collected.
  • Then, Watson has taken all knowledge in Memorial Sloane Kettering and ranked/scored treatment plan options, along with supporting evidence all provided in one place.  (For example, imagine doctors walking from patient to patient with all of this information available in front of them on an iPad as they walk around.)
  • It's as if any doctor in the world can call up the world-renowned specialist at Memorial Sloane Kettering that focuses on this particular form of cancer and take advantage of their experience, along with all the information shared in thousands of journals, etc.
  • Watson Oncology also brings in the eligibility for clinical trials based on that patient's criteria, something much more difficult to do manually.
  • Watson then will display drug info for counter-indications and side effects to see which matches the patient.
  • The clinician makes the judgement based on this information.  Build from there a customized plan for this patient.

IBM Watson Discovery Advisor
Unveiling hidden connections and leading down new lines of thinking, learning language of your industry or profession.

Demo:  Anne Peterson - How Watson can work fighting crime (~25 min into session)
Watson and Identity Analytics
How investigator interacts with Watson to find patterns, quickly derive insights from data
Traditionally, investigators spent 80% of time sifting through data and only 20% analyzing data.  Want to be able to turn those percentages around.

ex, modeled on TV show Breaking Bad.  Investigating a new drug on the street:  Blue Meth
  • First, look into own data repository - data that others have put in.  Have found arrest for Jesse Pinkman associated with it.  Also have a person named Heisenberg, but don't know his real name or more about him.
  • Could send agents back out on street, but time consuming.  Could sort through more info, look through notes, etc., but also time consuming.  Or could interact with Watson.
  • Will ask Watson to look through notes, public records, etc.
  • Get back list of suggestions with probabilities.  It's about generating new leads and possibilities.  Can see why Watson surfaced each of these possible answers.
  • e.g., brought back Physicist, but with only 2% probability.  Walter White is the top result - 80% probability.  
  • Shows a visualization of all the information pulled on Walter White, e.g., spotted at lab, has lung cancer, etc.  Trying to get connection back to Jesse Pinkman, so add him into the picture, and the visualization expands to show the linkages between the two.

Demo:   Dr. Steve Abrams - Chef Watson
Watson is working with the Institute for Culinary Education and Bon Appetit Magazine

Chef Watson uses as input:
  • 9,000 kitchen tested recipes from Bon Appetit
  • Which ingredients work well together, which associated with different types of cuisine
  • Food chemistry
  • Psychology of what people find pleasant and not pleasant
  • Can put in ingredients want to use and ingredients that want to avoid
  • Will suggest a list of things that might work well
  • Will suggest styles of cuisine to choose from
  • Generate list of possible dishes, ranking from more common to less.
  • App is in beta, thousands of people taking through paces and helping to refine it.
  • Can try it by signing up for beta at
  • Have created cookbook:  Cognitive Cooking with Chef Watson, which will be available later this year.

Terry Jones - Founder of Travelocity, Cofounder of Kayak
New venture:  Wayblazer

Back when started Travelocity, information was only flowing one way.  But then users started creating content, and became two-way street.  Sites like Trip Advisor, with 80 million reviews.  And getting data on Facebook, Twitter, Instragram, YouTube, etc.

Travel can and should be fun, but travel planning isn't as much fun.  The average consumer searches over 20 sites to plan their trip, because what's missing is expert advise.  The web doesn't give advise.  Today, it comes from books, articles, magazines, reviews, Facebook.  But the #1 source remains our friends, because online everything has to fit in a box (e.g., reduced down to a # of stars).

Take structured, social, demographic, historic, location, deals data - and give it to Watson to create a totally new product that understands natural language, can provide confidence levels, gives insider insights, and then commerce from those insights.  That's Wayblazer.

First customer is Austin visitor's bureau.
You can tell it that you're heading to Austin with three guys, and will get recommendation for Formula 1 Grand Prix, a UT football game, and Austin City Limits... and that you should sit on turn 15 at the Grand Prix because that's where the action is.  Will not only recommend a particular food truck... but can also tell you to ask for the secret menu.  It will recommend that you stay at the Omni... because that's where the fans all stay.

APIs:  Now have 8 services/APIs, scaling to more in coming months
Content:  Introduced Watson Content Store to provide info developers need to jumpstart their applications
Skills:  Stanford, Berkeley, Carnegie Mellon, NYU, U of Michigan, UT Austin, Univ of Toronto, among others.  Classes started this fall.  By next year, expect over 100 schools around the world.

Announced Watson on BlueMix a few weeks ago, and already have 1500 developers working on it, making more than 1M API calls.

Watson Solutions:
  • Watson Analytics - As announced yesterday
  • Watson Explorer - 360 degree view into a company's information to make better decisions
  • Watson Curator - Locating and curating content for Watson is frequent question.  Addresses question of how you update the information while keeping a clean audit trail.
  • Watson Engagement Advisor 2.0 - with cognitive conversation services to make interaction more natural and nuanced
  • Watson Discovery Advisor
  • Apps (like Chef Watson)
  • Incorporated into IBM portfolio:  IBM Kenexa, i2, Connections

Jake Porway and Anthony Thomas, CIO Vodaphone India
  • 170 million subscribers
  • Telecom environment in India has been primarily pre-paid, about $3/month.  Many people buying on daily basis.
  • In voice world, knew exactly what getting (e.g., how many minutes).  In data world, though, very hard to do though - can't correlate money spending and bandwidth using.
  • How handle?
  • Keep customers informed of how much used (50% used, 80% used).  
  • Started making offers for off-peak hours, say, or try to move to post-paid
  • Seeing positive reports - # of calls coming in with complaints coming down drastically.  Net Promoter score increasing.

Beth Smith, General Manager, Information Systems
Internet of Things
15 years ago, her husband lost part of his leg.  Just received new prosthetic with computer and sensors in knee that can adjust his gait.  So he no longer needs to adapt to device; now the device fits the way he wants to walk.  A whole range of activities open up that weren't possible before.

IBM is working with Bionik labs - exoskeleton to help disabled patient, with sensors in every joint.  Using Bluemix to analyze data collected from exoskeleton in real time, coupled with data from rehab doctor, so that all data available to doctors and investigators during clinical trials.  End result, better clinical trials.

  • Peugeot:  Enabled vehicles with connected services so that drivers can avoid danger zones, find parking, find fuel.  Also partnering with fleet operators and insurers.
  • A Chinese utility is combining weather data with statistical models and satellite imagery, to more accurately forecast energy needs in an area where the eweather is highly unpredictable

IoT is about more than just instrumentation.  Data from local events is being combined with other data, such as enterprise, public, social.  Leads to world where IoT becomes Internet of Insights.  

Three simple steps:
  • Capture:  Secure the data streaming from devices and gateways
  • Analyze: Develop new insights based on integration of info from devices, enterprises, public data
  • Act:  Initiate new processes and actions to deliver business outcomes where they matter.  At speed, in real time, at massive scale.

Example:  Improving safety in vehicles.  Data from sensors in steering wheels, cameras in cars, sensor-connected clothing, mobile phone.  Need to analyze that data, and very little room for latency.  Need to integrate it and diagnose relevant event (is the driver falling asleep, or is it a more serious medical event?)  Decision must be made to take appropriate action.  If driver falling asleep, car can wake him with vibration, audio, flashing lights, or pull over and park itself.  In more serious situation, can pull car over and automatically contact emergency services.

How enable all this?
Bluemix:  Open standards based cloud platform for developing and running applications.

Michael Curry, VP WebSphere Foundation Services
Demo:  How sensor can sense phone and keep safe from equipment not trained to be around in industrial scenario (Starts around ~75 minutes into session)

Using new capabilities Inhi announced yesterday:

Use Cloudant for the capture piece.  
Use DashDB for the analytics from sensors
Build rules and logic to keep person safe - use Node RED (part of Foundation services)

Already built application using IoT foundation starter application boilerplate - connect physical device into cloud

Mobile phone receiving signal from an iBeacon attached to equipment.  Phone will connect into Bluemix, and will build logic to see if authorized to be near it.  Very easy to build out logic, and can take action such as alerting user, rather than shutting down expensive equipment.

Also receiving analytics in DashDB so can see every time an incident occurs.  Is there an issue with a particular person (or in this case, that everyone on a particular team is having problems, and the whole team needs more training.)

Jake Porway and Josh Cooper, CEO, Hildebrand
Collecting about 1B data points a day

Processing it through machine learning and then putting into some Bluemix tools and cloud platforms that IBM is hosting.  Helps retailers optimize what selling in shopping malls.
Have APIs tied into digital signage in mall.

Doug Balog, VP, Systems & Technology Group
Does infrastructure still matter?  Client study says yes.
Even though 70% of organizations with leading IT infrastructure practices recognize that IT infrastructure enables competitive advantage, less than 10% believe their existing infrastructure is prepared to address the future requirements.
  • NC State University:  Power Systems, running Big Insights for Hadoop.  Analytics queries running 37x faster, and 4x shrinkage in data center.
  • Coca-Cola Bottling Co. Consolidated - 20x improvement in supply chain analytics on System Storage
  • Swiss Mobiliar - 80% improvement in access to critical data on System z, bringing together what had been islands of data

Infrastructure also lets you create differentiation

What is IBM doing:
  • Big Data needs big systems to run and crunch analytics algorithms, running across multiple cores and threads
  • Memory needs space, cache close to processor
  • System Z - integrates real time analytics, bringing all data together on same footprint
  • Storage - fast access to information.  Flash storage.

Recap: Insight 2014 Day 1 General Session

I'm following the Insight Conference from home this year, but am going to still keep up with recaps of the general sessions, as I have done in past years.  If you want to do the same, head on over to InsightGO for access to the live stream and more.

Insight 2014 Day 1 General Session:  Seize This Moment - Transform Your Industry

Bob Picciano, SVP, Information and Analytics Group

  • Data is the what, cloud is the how, and engagement is the why
  • Over 4.5 quintillion bytes of data are being created every day.  Twice as much as just two years ago.
  • "Generation D" enterprises are 3x more likely to excel at developing insights regarding customers and markets
  • 136% growth of marketing analytics jobs over the past three years.
  • When data moves to the center of your business, that's when real value is created
Q&A with Larry Volz, VP and CIO, Pratt & Whitney
  • Expect predictive and real time analytics to change everything across value chain at Pratt & Whitney.
  • Get a lot of data from engines - initial build, maintenance, on-wing measurements.  Up to recently looked at it for descriptive data, but it wasn't really analyzed.  Had some indication of health, but was like looking in rear view mirror.  Transitioning with IBM partners to look ahead and be predictive regarding engine health.  Ability to look at an event that might cause delay or cancellation is an evolutionary capability.
  • On health side, looking at fuel burn analytics.  Tailoring work scopes by segmenting flight data.
  • Goal is optimizing customer's in flight experience.
  • Looking at how can go after disruptions in supply chain.  Schedule assurance and product quality.  
  • It is a big shift from descriptive to predictive model.  Not just IT event.  Need to re-engineer business processes.  Had strong commitment from senior leadership team to make this shift.  IT team working with both IBM and internal business partners to get this launched.    
  • In order to get to opportunities quickly, needed accelerator to help on journey.  Needed someone to help accelerate move from descriptive to predictive.  Looked at all companies in the field, and IBM stood out as richest and deepest big data expertise in industry.

Deepak Dodani - CEVA
  • World class set of supply chain solutions in freight management and contract logistics.  (If you buy a TV on Amazon, CEVA is behind it.)
  • Underneath all processes, have platform that allows them to integrate supply chains for complete control of supply chain visibility.
  • A lot of unstructured content to deal with.  Order forms, bills of lading, etc.  
  • Undergoing a strategic move to utilize cloud based services in platform.  When it came to ECM, chose IBM Navigator.  Allows to expand cloud based services portfolio.  Gives leg up on predictive analysis and run business proactively.
  • Advice on moving from on premises to cloud:
  • Plan taxonomy before move the content.  Get the data hierarchy there early.
  • Get document retention policy at enterprise level drafted and approved.  

Bob Picciano - Cloud
People moving to cloud for agility, innovation, new business models.

Generation D:
  • Data-rich, analytically driven enterprises are 1.8x more likely to use cloud for data management
  • 1/2 of leaders deliver big data and analytics initiatives significantly through cloud
  • 80% are or will be leveraging public cloud for Big Data Analytics projects

Examples of companies using Cloud for big data and analytics
  • SunLife Stadium (Miami Dolphins) - Uses Softlayer to improve fan experience
  • Webster Bank - IBM Security to prevent fraud
  • Akamai - Cloudant to rapidly deploy application environment
  • DXL - retailer uses cloud-based incentive compensation

Marcus Hearne, Watson Analytics demo - Insurance marketer
(If you want to just watch the demo, fast forward the replay to around the 50 minute mark)

As a marketer, importance is:
Using analytics
Time to insight
Actionable insights
  • Solution is "walk-up intuitive"
  • Start with seeing an average data score for the data uploaded to the system, and Watson Analytics has identified some areas where could automatically clean it up further
  • Customer Value Analysis:
  • Watson Analytics provided suggested analyses that can run.
  • Or, can type in question in plain language.
  • "What is the rate of customer responses to my campaigns and offers?"
  • Will come up with suggested analysis as a result of the question that typed in.
  • Automatically returning visualization for the results that are generated
  • Can further refine data himself (e.g., only married people, rural vs. urban locations)
  • Can also customize the results (e.g., instead of responses, can look at employment status) and will change visualization on the fly.
  • Can drill into the top offer by State.   Will continue to make visualization updates (e.g., switch from line graph to map view.)
  • Drill further to see which policy type responds the best
  • Switch to "Predict and Explain" views
  • Which customers will have the best customer lifetime values?  
  • Can have it suggest the most predictive model possible - automatically combining multiple fields.
  • Then can drill into decision tree to view the customers step by step - understand what is leading to the highest value (e.g., while lifetime value is linked to having multiple policies, it doesn't mean that the more is better - 2 policies is the magic number.)  Returns specific results so that can tailor marketing investment to where it will have the biggest marginal value.  (e.g., first invest in one area, then if have left over funds go to the next highest value).

Inhi Cho Suh, VP Big Data, Integration and Governance

Announcing IBM DataWorks
  • Business analysts get relevant data inside their applications
  • Application developers embed data services inside applications
  • IT enables self-service data access for all.

Dash DB - agile data
  • Easy to add data refinement to app
  • IT/Data Engineer can deploy warehouse himself.
  • Probabilistic matching

Watson Curator
  • Improve the relevance and governance of content collections
  • Increase user confidence in the quality of information sources in content collections
  • Integrated governance to improve and defend Watson responses

Can get started today with IBM DataWorks, IBM dashDB, IBM Cloudant, IBM Watson Curator.

Ian Story - IBM Navigator Demo, running on Softlayer
Navigator - Simplify file sharing for business users everywhere
  • Collaborate on content securely
  • Easy to use on any device
  • Extend applications with open APIs

Updating script Bob Picciano wrote for House of Cards, only it accidentally reads "House of Cars" instead of "House of Cards"
  • Can search content in repository for certain word ("car")
  • Can check out content to desktop, fix it, and then check it back in.
  • All the metadata is there.
  • Can open Navigator app on phone, and there is the latest version of the file, available on phone.

Critical inflection point - either your part of the Generation D leaders, or you're lagging behind.
A question for you:  Are you ready to seize this moment?

Client story video
  • Macy's - Want customers to be able to shop online, on phone, or in store
  • Banorte - Want to talk to a segment of one.  A personalized bank for each customer, made with data

Bridget van Kralingen, SVP Global Business Services
  • The quest for personalized engagement: Customers expect personalized experiences
  • Intersection where big data meets personalization
  • Arrival of long awaited market of one is finally here, but that's just stopover on way to real destination
  • Consumerization of experience for professionals and individuals in all industries
  • Example:  Imagine flying from Paris on flight that is running late, and flight crew can walk down aisle with mobile device with live access to each passenger's itinerary so can rebook them before they land.
  • The info on individuals is the most valuable data any organization can have.  And need to provide access to that to get value.  This will be the new ERP.
  • The market of one is a way station.  Engaging that segment of one at level of action is the goal.  To get there, need to be very precise in how think about it.  Design and engagement are related but not the same thing.  Engagement is complete experience, and is dependent on astute use of data and analytics, in context.
  • Immersive - relevant, contextual and immersive.  Infuse physical world with digital interactions of all kinds.
  • Speed - Battles are won or lost in seconds
  • Tolerance for waiting is so much shorter than it used to be
  • Apple + IBM Partnership
  • Focusing on apps that are built for mobile, not a desktop app retrofitted
  • Targeted for specific industries and uses

How to follow IBM Insight from home

I'll be following the IBM Insight conference from afar this year, and if you didn't make it out to Las Vegas yourself, there are still plenty of ways to stay in the loop.

First, head on over to the InsightGO site and register to watch the general sessions and keynotes via live stream (starting up soon - 8:15am PT/11:15am ET today).  I'm particularly interested in hearing what Kevin Spacey has to say about how data and analysis is influencing "House of Cards."

You can also keep up to date via the conference Tumblr site or on Twitter through #IBMInsight.

Image:How to follow IBM Insight from home