T T T The CDO Blueprint: Enabling the he CDO Blueprint: Enabling - - PowerPoint PPT Presentation

• Dr. Inderpal Bhandari

IBM Global Chief Data Officer

T T T The CDO Blueprint: Enabling the he CDO Blueprint: Enabling the he CDO Blueprint: Enabling the he CDO Blueprint: Enabling the C C C Cognitive

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Cognition-enabled CDO Strategy Discussion Chief Data Officer Perspective April 2017

Transformation starts with the Data Strategy Transformation starts with the Data Strategy Transformation starts with the Data Strategy Transformation starts with the Data Strategy

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People Technology

Value Proposition: Data Value Proposition: Data Value Proposition: Data Value Proposition: Data-

• driven enablement of IBM (and its

driven enablement of IBM (and its driven enablement of IBM (and its driven enablement of IBM (and its customers) to become a cognitive business capable of deriving and customers) to become a cognitive business capable of deriving and customers) to become a cognitive business capable of deriving and customers) to become a cognitive business capable of deriving and acting rapidly on cognitive insights from massive, structured and acting rapidly on cognitive insights from massive, structured and acting rapidly on cognitive insights from massive, structured and acting rapidly on cognitive insights from massive, structured and unstructured, internal and external datasets. unstructured, internal and external datasets. unstructured, internal and external datasets. unstructured, internal and external datasets. 1. 1. 1. 1. Consolidate critical enterprise data and make it available as Consolidate critical enterprise data and make it available as Consolidate critical enterprise data and make it available as Consolidate critical enterprise data and make it available as-

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a a a-

• service.

service. service. service. 2. 2. 2. 2. Enable data Enable data Enable data Enable data-

• driven cognition

driven cognition driven cognition driven cognition-

• as

as as as-

• a

a a a-

• service for the enterprise.

service for the enterprise. service for the enterprise. service for the enterprise. 3. 3. 3. 3. Transform IBM into a cognitive enterprise. Transform IBM into a cognitive enterprise. Transform IBM into a cognitive enterprise. Transform IBM into a cognitive enterprise. 4. 4. 4. 4. Share the journey. Every enterprise will need to develop a data Share the journey. Every enterprise will need to develop a data Share the journey. Every enterprise will need to develop a data Share the journey. Every enterprise will need to develop a data strategy to become a cognitive business. strategy to become a cognitive business. strategy to become a cognitive business. strategy to become a cognitive business.

Technology

Cognitive systems have four main attributes

They are able to learn their behavior through EDUCATION EDUCATION EDUCATION EDUCATION They support forms of EXPRESSION EXPRESSION EXPRESSION EXPRESSION more natural for human interaction Their primary value is their EXPERTISE EXPERTISE EXPERTISE EXPERTISE And their reasoning approach continues to EVOLVE EVOLVE EVOLVE EVOLVE as they experience new information, new scenarios, and new responses

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And they do so at ENORMOUS scale.

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Intuitive conversational interface Holistic view of customer, both internal and external Self-service capabilities to inform and enable decision-makers Directly usable by subject matter experts to derive insights All enabled through cognitive interaction Data-as-a-Service

Cognition-based Q&A, enable business users

All components for a CDO to render their enterprise cognitive: Organizational considerations, technology, and business processes

Reduced time and effort Proactive monitoring and alerts Continuous learning from data and user feedback Build and improve repeatable/productized service offerings All enabled through cognitive interaction

User experience journey CDO experience journey

Transformation From a siloed, largely relational, technical and cultural environment to a cloud-based, cognitive environment, capable of deriving and acting rapidly on cognitive insights from massive structured and unstructured, internal and external data.

Outcomes:

• Elimination of siloed data – view of data across the enterprise
• Reduced support costs and improved consistency and quality of data,

access control and ability to monitor/report usage

• Faster access times
• Standardized KPIs
• Improved service levels and uptime for business systems
• Increased adoption of cognitive methods
• Reduce set up time and cost of cognitive projects

CDO Cognitive Journey Map

Trust-as-a-Service

Privacy by design, in addition to enabling regulatory compliance

Risk Insights

Anticipate and act on supply chain risk, deliver risk mitigation insights

Cognitive Procurement

Trusted buying advisor, deep supplier insight, dynamic pricing info Automate Warehouse Migration Automatic learning and generation

• f ingestion and integration rules

Cognitive Enterprise Blueprint Cognitive Enterprise Processes Cognition-as-a-Service Watson Services and APIs Client 360 Increase seller productivity and increase revenue generation through Cognitive sales recommendation Digital Business Insights Expert assistance with individual selection for marketing and sales Data Acquisition: Content Buyer Cognitive content reviewer on overlap, scope, ”best” provider(s) Data Curation: Cognitive Metadata Cognitive data catalog management, automatic creation/ linkage of business to technical terms Proactive Client Management Early warning of delivery risk, and proactive opportunities for contract growth Master Data Processes Information Governance Technology Development Data Integration: Entity Recognition Single engine to assign common identifying code to entities.

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Organizational Considerations Business Processes Technology

Cognitive Enterprise Blueprint Cognitive Enterprise Blueprint Cognitive Enterprise Blueprint Cognitive Enterprise Blueprint

• Data strategy catalysts
• Transform and reinvest
• Recruit, retrain, and retain talent
• Business Unit leadership
• Engage top technical talent: Data Scientists, Data

Engineers, Dev Ops, Deep Learning specialists

• Governance and monetization expertise
• Policy and risk
• Essential communities
• Addressing culture change
• CDO Processes: Technology

development, information governance, client and product master data processes

• Cognitive Enterprise: Supply Chain,

Procurement, Finance, HR, etc

• Cognitive applications trained

using industry specific data and leading industry expertise

• Cognition / AI Services with

ability to contextualize across all data

• Trust-as-a-service: your data,

your insights

• Cloud services - open by

design; GPUs, fast interconnect to accelerate AI training

• Hybrid integration and

deployment choice

• Enterprise cloud container

support

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