HfS Webinar Slides: IBM Watson Services

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Proprietary │Page 1 © 2017 HfS Research Ltd. The Services Research Company Reetika Joshi Research Director [email protected] HfS Webinar: IBM Watson Services May 2017 Phil Fersht CEO and Chief Analyst [email protected] Tom Reuner SVP, Intelligent Automation & IT Services [email protected]

Transcript of HfS Webinar Slides: IBM Watson Services

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The Services Research Company

Reetika JoshiResearch [email protected]

HfS Webinar:

IBM Watson Services

May 2017

Phil FershtCEO and Chief [email protected]

Tom ReunerSVP, Intelligent Automation & IT [email protected]

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Today’s Speakers

Phil FershtCEO and Chief Analyst

HfS Research

[email protected]

Reetika JoshiResearch Director,

Operations & Analytics Strategies

HfS Research

[email protected]

Tom ReunerSenior Vice President,

Intelligent Automation & IT Services

HfS Research

[email protected]

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The Digital OneOfficeTM provides Five Fundamentals for the Survival of The Modern Organization

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C-Suite directives focused on less cost and more OneOffice automation, machine learning and real-time data How critical are the following C-Suite directives to your operations strategy? (SVPs and above)

20%

22%

26%

30%

31%

31%

42%

48%

46%

55%

45%

48%

48%

43%

19%

19%

13%

20%

15%

15%

8%

12%

12%

5%

5%

6%

6%

7%

Invest in cognitive techn and machine learningto reduce reliance on mid/high skilled labor

Invest in process automation and robotics toreduce reliance on low-skilled labor

Improve the quality of operations talent

Accelerate speed to market with new products

Create real-time data that supports predictive,not reactive decisions

Align middle/back office operations to improvecustomer experiences

Drive down operating costs

Mission Critical Increasingly Important Emerging Not a Directive

Source: HfS Research in Conjunction with KPMG, “State of Operations and Outsourcing 2017” Sample: n=454 Enterprise Buyers

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The beginning or the end of your career? That’s YOUR choice…

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Endgame: Vertically infused data and insights?!

Insights, Data

Vertical Processes

Vertically infusedinsights and data

BPaaS, BPO as-a-stack,Industry platforms.

Machine learning,Neural networks,Enterprise search,Artificial intelligenceAnalytics

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Transforming Data into Insights

Autonomics

Structured Data

Unstructured Data

Vertically

infused

data &

insights

Enterprise

Search

Deep

Learning

Analytics

Relational

databases Spreadsheets

Voice recognition

Data files

WikisInstant messaging

Taxonomies,

Ontologies

Content

management

Email

Multi-media

Word

processing

files

Web logs

Web

pages

RSS

feedsXML

documents

EDI

documents

Device

data

Network data

Non-digital inputData lakes

Sensors

Data warehouse

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User Journey from Unstructured Request to Execution

Customerrequests

Virtual AgentStandard

transactionsSelf-service

formsDynamic Case

Flow Mgt.

• Unstructured

forms of

requests

• Different media

• Conversation

• Knowledge

infusion

• Natural

language

processing

• Analytics

• Transactions

that comply

with standard

operating

procedure

• Knowledge

base

• Interactive

forms

• Service

catalogue

• Governance

• Orchestration

of interactions

and workflows

Bots

Chat

Knowledgedatabase

NLP

• Extraction of

data

• Execution of

requests

• Scheduling

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IBM Confidential

How does it work?

Watson Explorer

Watson Conversations

Custom Cognitive

Watson In The Enterprise

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A Growing Range of APIs At Your Service

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Early Adopters Are Figuring Out The Model As They Go:

Client Examples

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How Service Providers Are Organizing To Deliver IBM

Watson Services

Watson Practices/Labs

Watson Certifications and

Training Modules

Collaborating with IBM Watson

Group

Gaining experience with anchor

clients

Leveraging Watson technology

internally

Leveraging Watson technology

to create proprietary

platforms/solutions

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HfS Emerging Market Guide: Methodology & Scoring

Execution

• Skin in the Game: R&D, investment, and financial commitment to

developing Watson services and strategic partner alignment with

IBM.

• Named Clients: Existence of clients that are willing to be

referenced by name, heavier emphasis on projects that are

operating in the business over those that are exploratory.

Innovation

• Ability to Communicate Vision: Explain cognitive technologies to

clients in ways that show the real potential and applicability to

business over those that have more grandiose but ultimately less

tangible ideas for how Watson technology specifically can be used

in practice.

• Specificity of Solutions Across the Watson Portfolio: Extra

credit goes to specifics and the number of examples across the

broad Watson portfolio.

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Recommendations for Enterprise Buyers

▪To offset cost, understand where and how your service provider is investing in Watson

▪Find the provider that is collaborating with IBM in areas that matter to you

▪Find the service provider that is investing in your vision—or using design thinking to help you develop one

▪Don’t underestimate the power and influence of naysayers—educate them first

“Initially we weren’t interested in a specific brand of cognitive; the driver was coming from the marketplace as the number of smart devices increase. The amount of data you can get from sensors is going up. Which data streams are really relevant to collect? We said we wanted flexibility with the software suite, to feed different engines with rulesets without rewriting code. While [service provider] is using Watson Analytics, we are more focused on the results generated than getting caught up in the nuances of the software.

-- Head of Solutions & Services at a commercial real estate technology company

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Time To Advance The Conversation

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