IBM Watson vs. Your Data Center

© 2011 IBM Corporation

Watson vs. Your Data Center Improving IT performance with analytics-based services

Steven Sams

VP, GTS Site and Facilities Services

December 5, 2011


Watson vs. Your Data Center

2

Watson answered a grand challenge …

2

Can we design a computing system that rivals a human’s ability to retrieve, analyze and interpret vast amounts of information in real time,

arriving at the highest probability correct answer in less than three seconds?




3

CEOs are using Watson-like analytics to make more informed

choices with confidence to anticipate and shape business outcomes

Which customers are

thinking of moving to

my competitor?

Which transactions

are fraudulent?

Which new product

has the greatest

opportunity to drive

more profit?



4

We are building Watson-like analytical capabilities to help CIOs

Cloud? Virtualization? Security?

How can I better link

my IT and business

strategies?

Where can I improve

the efficiencies in my

IT infrastructure?

Which actions will

help me manage

my IT operations

and better protect

my users?



5

… partner for new skills & expertise

versus doing 100% in-house

… and change the mix of capabilities,

knowledge and assets

2 out of 3 CIOs re-engineering their companies will …



6

Analytics are used to transform IT and is not just for large companies

Watch the NFL video: http://www.youtube.com/user/IBMITServices

Link IT

and Business

Improve IT

Efficiencies

Manage Operations

and Protect Users

Develop a plan

How do we get

from here to where

we want to go?

Redirect

resources

From 5

to 90%

virtualization

adoption

Manage

storage

growth

saving hours

by automating

provisioning

Grow data

center

capacity

2x increase in

data center

power / cooling

Improve

service

to provide

predictable

process in 4

key areas

Protect users

with a disaster

recovery plan

for the entire

business

http://www.youtube.com/user/IBMITServices



7

WORKLOADS

WORKLOAD CHARACTERISTICS

YOUR WORKLOAD MATURITY

Virtualization example

• Web serving

• Web application

• BI Data Warehouse

• ERP, SCM

• Analytics

• Numerical, Batch

• Collaboration

• File & Print

• Desktop

• Development & Test

• Virtualization maturity

• IT automation maturity

• Standardization

• Process improvement

• Utilization improvement

• Data constraints

(Derived for each characteristic)

• High: > Two thirds virtual servers

• Medium: In-process

• Low: < One third virtual servers

Identify cloud opportunities 90% faster to improve time to value

Opportunities are identified 90% faster by

removing impediments to reduce costs

Map IT workload characteristics and current

capabilities to prioritize cloud deployment

Pain versus Gain IBM Cloud Workload Analysis

Effort / Pain 10 5 0

0

Valu

e / G

ain

5

10

App JK

App NM

Dev Test

BW

SAP

Call Center Users

ClientXYZ.com

Field Users

App AB

Intranet Apps

Office Task Users

ABC Data Warehouse

App XC

Exchange

Workloads

most

attractive to

move to

cloud for

your

business

Link IT & Business (print version)



8

Make complex Wintel workloads simple and fast to virtualize

Achieve 60-70%

virtualization for

cost-effective operations

ROI of 6-18 months for

complex workloads

50% reduced

transformation costs

40-80% faster

implementation time

Reduce resource required

to manage instances

per FTE by 2-3x

Improve IT efficiencies

Profile into 6 workload scenarios

Use migration factory resources for rapid implementation



9

Define standard data types (15-20)

• Size

• Availability

• Performance

• Operational Recovery

• Disaster Recovery

Enter data type and quantity

User input requested

• Database Space

• Transaction Logs

• Archive Logs

• Database Binaries

• Email Space/ Store

• Email Logs

• Email Archive

• Shared File Space

• Static File Space

• Active File Space

• User Home Directories

• Voice

• Video

• Backup

• Exports

• App Binaries

• App Logs

• OS

Define key performance indicators

• Data Security

• Compliance

• Migration

• Archive

• Disposal

• Storage

• Backup/ Recovery

• Network

• Archive

Architect to infrastructure • Disaster

Recovery

• System

• Business Continuity

• Services

DE

FIN

E O

NC

E

Video

Size

Availability

Performance

Operational Recovery

Disaster Recovery

Data Security

Compliance

Migration

Archive

Disposal

Storage

Backup/ Recovery

Network

Archive

Disaster Recovery

System

Business Continuity

Services

Flexibly manage

storage growth with

policy-based automation

Reduce 50% of

architect’s time

Provision in minutes

versus days

Use less of the most

expensive storage – reduce

10-20% Tier 1

Storage provisioned automatically

Create a self-service environment to handle growth in storage


US

E

OF

TE

N



10 Source: IBM Estimates

Technology #1 Technology #2 Technology #3

2

1.5

1

.5

0

Year

1 2 3 4 5 6 7 8 9 10

2.5

$3

$ M

illio

ns

Technology 1, Vendor A $2

1.5

1

.5

$ M

illio

ns

Technology 1, Vendor C

Technology 3, Vendor G

Capital Cost Analysis Show 5x difference in technology alternatives

Operating Cost Analysis Show 2.5x difference for vendor alternatives

0

Reduce data center total costs 15-30% over its useful life

Improve investment governance by providing vendor and

technology tradeoffs




11

Identify and solve critical security threats quickly

Manage operations

13 Billion security alerts per day

Anti-virus Firewall

Web E-mail Intrusion

protection

Only 5-30

events require proactive risk mitigation decisions

Real-time analytics

and correlation

Over 4,000 clients have

lowered their risk and costs

by entrusting their

protection to IBM

90% reduction in emergency

response and patching activity

Average 55% cost reduction

vs. doing it in-house

Protect against new threat

remediation 30+ days before

market fixes are available



12

Leverage IBM’s experience to get started


1

Manage operations & proactively protect users

2 Link IT & business strategies

3

Server Optimization and Integration

Information Lifecycle Management

Network Infrastructure

Optimization

Middleware Strategy and Design

Data Center Design

Data Center Consolidation

and Relocation

Managed Security

Smart Video Surveillance Suite

Smart Business End User

Strategic Outsourcing

Data Center Operations

and Management

Tivoli Live

Infrastructure Strategy

and Planning

Cloud Infrastructure

Strategy and Design

Data Center Strategy



13

Explore IT analytics and talk to IBM technology and services experts

Monday

2:45 – 3:45 pm

Tuesday

4:15 – 5:15 pm

Wednesday

9:00 – 10:00 am

University of

Rochester Medical

Center Cracks the

Code on Data

CIOs and Storage –

Strategies and

Solutions

Cloud Computing –

What is real

versus virtual

12:00 – 12:30 pm

Foundations for Cloud –

A Simple Approach

For more information: ibm.com/services/smarterdatacenter

http://www.ibm.com/services/smarterdatacenter

http://www.ibm.com/services/smarterdatacenter

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