Develop a clear data strategy

Execute enterprise-wide governance and management systems

Become the central data source and AI framework for IBM

Build deep data and analytics partnerships

Develop and scale our talentin this area

IBM Data Strategy

Data Strategy

Plan

3

AI systems have four main attributes:

Their primary value is their

EXPERTISE

They support forms of

EXPRESSION more

natural for human interaction

They are able to learn their behavior through

EDUCATION

Their reasoning approach continues to

EVOLVE as they experience

new information, new scenarios, and new responses

32%

4Watson Health © IBM Corporation 2018

Enhancing NGS-Guided Cancer Center Care through Cognitive Computing

Patel, N., Michelini, V.V., Snell, J.M., Balu, S., Hoyle, A.P., Parker, J.S., Hayward, M.C., Eberhard, D.A., Salazar, A.H., McNeillie, P., Xu, J., Huettner, C.S., Koyama, T., Utro, F., Rhrissorrakrai, K., Norel, R., Bilal, E., Royyuru, A., Parida, L., Earp, H.S., Grilley-Olson, J.E., Hayes, D.N., Harvey, S.J., Sharpless, N.E. & Kim, W.Y. Enhancing NGS-Guided Cancer Care Through Cognitive Computing. The Oncologist 22, 1-7 (2017)

“Molecular tumor boards empowered by cognitive computing can significantly improve patient care by providing a fast, cost-effective, and comprehensive approach for data

analysis in the delivery of precision medicine.”

Watson for Genomics took less than 3 minutes per case, found 99% of the actionable mutations identified by UNC’s MTB and identified additional actionable mutations that the MTB did not in 32% of the 1,018 cases.

99%< 3 min

Cognitive use case:

Watson health

5

“Where it might have taken 60 minutes to analyze a security threat, with help from Watson an analyst can do it in just a minute.”

—Martin Borrett, Chief Technology Officer, IBM Europe

Cognitive use case:

IBM SecurityHarnessing the power of cognitive security at Wimbledon.

Protecting Wimbledon’s digital platforms means protecting the Wimbledon brand.

60x faster

security threat investigations with Watson compared to manual analysis.

5x increase

in volume of security incidents analyzed over the course of the tournament.

Zero

breaches that impacted the 2017 Wimbledon website and brand.

The AI Enterprise

Organizational Considerations• 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 & monetization expertise• Policy and risk • Essential communities• Addressing culture change

Business Processes• Use previous insights to simplify and accelerate new

use cases via transfer learning• CDO Processes: Technology development, information

and data governance, client and product master data processes, and business integration

• Cognitive Enterprise: Supply Chain, Procurement, Finance, Real Estate and Site Operations, Marketing and Communications, and more

Technology • Cognition / AI Services with ability to

contextualize across all data

• Cloud services - open by design; GPUs, fast interconnect to accelerate AI training

• Hybrid integration and deployment choice

• Enterprise cloud container support

Data• Cognitive applications trained using industry

specific data, leading industry expertise

• Data-as-a-service, high scale ingestion, accessing data for analysis and manipulation

• Data Responsibility: your data, your insights

• Self-service & out of the box tools

AI Enterprise Blueprint

Automatic Metadata GenerationEnable a scalable data platform through hybrid cloud services using AI capabilities (machine learning and specific enhancements via deep learning) to dramatically reduce cycle time and increase accuracy of the metadata generation process.

General Data Protection RegulationHybrid cloud services and AI to identify and analyze personal data ahead of the May 25, 2018 GDPR deadline.

Data Responsibility in ActionYour data your insights: trust is at the center of all cognitive activities.

Data Strategy and Business ImpactApply a data strategy across the enterprise

IBM Cognitive Enterprise Data Platform – Hybrid CloudBuilt as a Hybrid Cloud for seamless integration/movement of workloads across a High Performance Private Cloud and Public cloud, through IBM Cloud Private.

Use Cases

© IBM Corporation 8

Architectural Design

A Hybrid Cloud for seamless integration/movement of workloads across a High Performance Private Cloud and Public cloud, through ICP.

Current focus on Hybrid offerings; Public Cloud showcases coming Fall 2018

IBM CEDP – Hybrid Cloud

Seth DobrinVP & Chief Data OfficerSeth.Dobrin@ibm.com

Data Science Elite Team at IBMCustomized Data Science Consulting

Accelerate your cognitive journey. Take these steps to apply:

Identify use case(s) and Minimal Viable Products via discovery and design workshops

Collaboratively build & evaluate up to four sprints

Mentor and enable client teams through hands-on learning

Up to 3 Months Free Consulting

Caitlin HalfertyGCDO Client Showcase LeadCaitlin.halferty@us.ibm.com

Sign-up for free IBM Data Science Elite Team consulting engagement at

https://ibm.co/DataSciElite

Schedule a site visit to see the CEDP, IBM’s cloud and cognitive backbone

Engage with our data experts:

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