watson toa san fran high tech event v 2

©IBM 2015 Developed by Cristene Gonzalez-‐Wertz for Watson Industry Value Tam

Watson T&T: Use Cases

WATSON TRADEOFF ANALYTICS SEPTEMBER 17, 2015 CRISTENE GONZALEZ-‐WERTZ LEADER, INDUSTRY VALUE SOLUTIONS, WATSON GROUP


Making choices among many things can difficult. OSen there is no clear and transparent path to making an opVmal choice

9/17/15 2

IMPERFECT TENSE: HUMANS AND CHOICE

hDp://www.afoodaffair.me/recipe-‐feel-‐good-‐morning-‐food/#.VfrX5TU95XU

hDp://www.bmw.com/com/en/newvehicles/i/i8/2014/showroom/

hDp://www.findmecoffee.com/

©IBM 2015 Developed by Cristene Gonzalez-‐Wertz for Watson Industry Value Tam 9/17/15 3

The Amazon Culture, Choice Overload, CogniVve Misers, Overconfidence and Post Purchase Dissonance

DECISION FATIGUE: YES, THAT’S A THING

Choices

Decision confidence

Anticipation of regret

Perceived return on investment


ASK DISCOVER EXPLORE DECIDE VISUALIZE

Ask questions for greater insight

Natural language dialogue

Natural language dialogue

Find external information in real time

Monitor social sentiment

Find rationale for given responses

Prompt for inputs to yield improved responses

Ingest and analyze domain sources, info models

Evidence-based decisions with greater confidence

Consolidate and visualize information across enterprise applications and big data assets

Watson enables five classes of cogniVve services working across structured and unstructured data with Natural Language Processing and Machine Learning

WATSON’S 5 CORE CAPABILITIES

©IBM 2015 Developed by Cristene Gonzalez-‐Wertz for Watson Industry Value Tam 9/17/15 5

©IBM 2015 Developed by Cristene Gonzalez-‐Wertz for Watson Industry Value Tam 6

CHOOSING A DEVICE, CONSTRAINTS

Our tradiVonal approaches rely on filtering and simple opVmizaVon approaches. We mask the complexity, make it hard to see criteria and how opVons rank

TradiSonal filtering only gets you part of the way


•  Pareto OpSmality •  Visual exploraSon •  SimulaSng Human

Judgment

CHOOSING A DEVICE, THE NEW FASHION

Giving the choice maker more opVons isn’t the answer. Giving the choice maker more understandable opVons is.


RANGES OF COMPLEXITY

The ability to bring choices in and out of the decision criteria allows the user to see the impact of the data and and the choices on the outcomes

COGNITIVE MISER: (noun) simple and Sme efficient strategies when evaluaSng informaSon and making decisions -‐  prior informaSon bias -‐  Relies on established

beliefs -‐  Stereotypes/bucke1ng -‐  Faulty heuris1cs


CREATE YOUR OWN COGNITIVE BIAS

Combining services in the IBM Blue Mix pordolio allows beeer decisions. It also enables more robust experiences

NEW YORK CITY SCHOOL FINDER Personality Insights + Tradeoff Analytics

OTHER COMBINATIONS? Product Matcher Connected Commerce Dynamic Scheduling & Routing Marketing Offer Management


HANGING OUT IN ALL THE BEST PLACES

Some of the places we are seeing Tradeoff AnalyVcs being applied include:

Purchase SelecVon and Decisioning

Human Resource Decision Making

Inventory Balancing

Medical Decision Management

Strategic and Capital Planning

Irregular OperaVons Redress

MarkeVng and Offer

Management

Financial Decision Management

AND, INTERESTINGLY ENOUGH, FANTASY LEAGUE SPORTS


In-‐store interacVve pladorm where the consumer enters their twieer handle to understand the breakdown of their personality with Watson’s Personality Insights API

The consumer’s personality is matched to a bike


Bluemix is IBM’s Pladorm as a Service (PaaS) offering

Customer Managed Service Provider Managed

Infrastructure as a Service

Code

Data

Runtime

Middleware

OS

Virtualization

Servers

Storage

Networking

Code

Data

Runtime

Middleware

OS

Virtualization

Servers

Storage

Networking

Platform as a Service

Software as a Service

Code

Data

Runtime

Middleware

OS

Virtualization

Servers

Storage

Networking

Code

Data

Runtime

Middleware

OS

Virtualization

Servers

Storage

Networking

Traditional Datacenter


WDC services can be consumed in different ways

Watson Ecosystem

PAYGO / SubscripVon

Enhance WEX Embed

•  Powered by IBM Watson apps

•  Revenue share model

•  Pay as you go based on usage

•  SubscripSon model

•  Add cogniSve capabiliSes from WDC to WEX deployments

•  Embed cogniSve capabiliSes from WDC in other IBM products / soluSons

WDC -‐ Enterprise

•  Enterprise subscripSon

•  3 month minimum •  On-‐site training and

mentoring

watson toa san fran high tech event v 2

Data & Analytics