Welcome to theIBM CDO Strategy SummitApril 15-16

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Wednesday, April 15th Time

Competitive Advantage in the Insight EconomyIBM’s Beth Smith and Glenn Finch

1:10 – 1:45

CDO & CIOs Partnering for SuccessTD Ameritrade – Derek Strauss/ Charles Schwab – Andrew Salesky

1:45 – 2:30

Coffee, networking 2:30 – 3:00

How CDOs Make Watson Work for Their OrganizationsIBM’s Marc Teerlink

3:00 – 3:30

The CDO and Monetizing Big DataWells Fargo – A. Charles Thomas

3:30 – 4:15

Three Breakouts: First 90 Days, Data-driven Marketing, Public Sector 4:30 – 5:15

Large-Scale Machine Learning With Applications To IoT, Verizon Wireless – Ashok Srivastava

5:15 – 6:00

Cocktail Reception, Dinner, Networking 6:00 - 10:00

A Hack-a-thon for the BusinessThe PremiseMany organizations now understand the opportunity of data science in the enterprise, but few know where to start, how to get started, and how to demonstrate the value of data science quickly.

The SetupIBM Ambassadors establish a 1:1 relationship with a line of business owner to develop a data science plan to capture the business needs, data available, and define the expected outcome.

The Hack-a-Thon-1 week: Prior to the event commencing the attendees are provided access to Spark-as-a-Service or sent instructions on how to launch a Spark environment on premise.

See Joel Horwitz, Global Director of Marketing for more information.

Tuesday: attendees arrive at noon to socialize, hear a quick presentation about the different projects and answer any last minute questions on the analytics platform setup. At 3pm, the teams are divided amongst the IBM Amabassadors and review the data science plan. At 6pm, dinner is served, the data is made available, and the data scientists get to work.

Wednesday: attendees arrive at noon for lunch, have a quick status update, and go back to hacking with their teams guided by their IBM Ambassadors. We bring food, during this time, but the hacking continues uninterrupted for the rest of the day.

Thursday: attendees arrive at noon for lunch, have a quick status update, and go back to hacking with their teams guided by their IBM Ambassadors. We bring food, during this time, but the hacking continues uninterrupted for the rest of the day.

Friday: attendees arrive at noon for lunch, have a quick status update, and then the teams go into presentation mode to prepare their slides for the demonstration to the group.

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Beth SmithGeneral Manager, IBM Analytics Platform

Competitive Advantage in the Insight Economy

@BethTSmith

Glenn FinchGlobal Leader, Big Data & Analytics IBM Global Business Solutions

@gffinch

Data is the basis of competitive advantage

The Insight Economy

. . . across all industries, all geographies, organizations of all sizes

Data is fueling analytics-based innovation

Petrol

Banking / FSS Client

Reimagining Analytics for the Insight Economy

We are helping clients accelerate from vision to value

IBM expertise extends 40,000+ data and analytics engagements and 15,000 consultants to accelerate client business value

Innovative technology drives real-time actionable insight with streaming, context and cognitive computing

Enterprise-class integration, governance and security builds trust and confidence in all data

Cloud enables clients to leverage all data and analytics with agility and security for competitive advantage

Insights as a Service combines top data such as Twitter, ESRI, and The Weather Company with IBM’s cloud-based analytics and expertise

Internet of Things integrates a fabric of devices, data, processes, and people in an open cloud-based platform for faster and better decisions

|Together, we are transforming the usability of data and content Glenn Finch

Global Leader, Big Data & Analytics IBM Global Business Solutions

@gffinch

IBM | Twitter partnership objectives

1

3

Data Access Twitter provides IBM all tweets, historical and on-going, including metadata, for use in client proof of concepts

Data Analytics IBM uses Twitter data to solve client business problems using social analytics. Twitter works with IBM to certify and train 10,000 IBMer’s on best uses for Twitter data

Data InsightsClients take action on newly developed insights. IBM can resell Twitter data feeds for use in extended client solutions, including direct feeds into IBM Software

2

Social Analytics Findings

17

1. Few are using Twitter/social data to drive value

2. Social listening ≠ strategy for business value

3. Business value = analytics + Twitter/social data

18

Social Listening

Internal & External Data

Define external and internal data needed to solve business problem… think about it differently

Apply analytics to uncover insights that intuition alone could never find

TrendsPredictionsLinkagesCausalities

Be able to take specific actions based on new insight

Pinpoint most valuable customersReduce churnTarget campaignsUpdate processes

Move from Listening to Action

I’ve never bought anything from D&G but I do have a pair of D&G sunglasses which I will throw out

@carlyaquilino

#BoycottDolceGabbana

IBMAnalytics

ActionableInsight

=

Twitter Demographics Economics Weather Social Media

15,000 Menus

Convenience Matters

I like it Sweet

Alter the Gene Pool

Intuition says… “Change the sales force”

Size Matters

The Seed Case

The data says…

Twitter Demographics Economics Social Media

Know Me

Listen to Me

Engage with Me

Intuition… “They just don’t want to shop here”

…Me

The Millenial Case

Data…

Twitter Demographic Economic Weather Social Media

PartnerEngagement

Promotion Activity

Be cold when it’s hot

Habla Española?

Look at all the holidays

Intuition says… “Change the merchandise”

It’s the Barista

The Coffee Case

The data says…

Together, we will speed innovation and win in the Insight Economy

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