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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 [email protected]
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 [email protected]
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: