Accelerating Cloud Value through Analytics Sunil Mahajan IBM MEA Analytics Executive 26 April, 2017 Viceroy Hotel, Palm Jumeirah
IBM s New Architecture Our new cloud platform architecture has four dimensions designed as an integrated whole to help our clients (and IBM) win in the cognitive era. Applications AI Data Cloud Cognitive applications for business and industries trained with IBM s years of data and expertise. Sophisticated AI services with Watson and Discovery (ability to contextualize across a corpus) as foundational to the architecture. Your data is your data our architecture prevents the use of one client s data to train another client s AI. Cloud with GPUs and network mesh to accelerate AI training. For example, from 3 months to 3-4 days. 2
IBM s New Architecture The five elements of data and analytics Hybrid Data Management A hybrid approach to work within evolving environments Machine Learning & Data Science New ways to enhance your decisions and operations Unified Governance Insight and compliance Open Source: Hadoop, Spark & more A commitment to openness for speed and innovation Visualization Discover and visualize data assets 3
The Journey Starts Now Watson Data Platform Safe Passage to the Cloud Public Hybrid Data Management Machine Learning & Data Science Unified Governance Open Source Visualization Focus 5 Hybrid Private 4
IBM Watson Data Platform Flexibility and customer engagement based on Open Standards and trusted partners. Platform Integrated set of capabilities Self-service experiences for all user types Single monthly subscription Community for producers and consumers The IBM Watson Data Platform Ecosystem Best-in-class partners Open source-based services Open Standards Community Accepted Trusted Partners Method Understand what works Get started fast Immediate business value The IBM DataFirst Method 5
Hybrid Data Management Only vendor in the market to support entire spectrum of data across private & private clouds. Structured and Unstructured. 6
Machine Learning & Data Science Continuous Intelligence Machine Learning made simple Freedom Productivity Trust Choose the right language and ML framework and platform for your business Make both experienced and novice data scientists more productive Confidently deploy insights knowing they are generated from the most current data and trends 7
Machine Learning & Data Science IBM Machine Learning Extracted from Watson, delivered to your private cloud Cognitive computing Augmented intelligence Machine learning IBM Private Cloud IBM Machine Learning 8
Unified Governance Governance 1.0 Data within the firewall Distinct capabilities for structured and unstructured data Compliance use cases: e-discovery, records, GDPR, and archiving IT Governance 2.0 Data, APIs, and Analytics in or outside the firewall Common capabilities: Policy administration, metadata, consent management, and stewardship Compliance and analytics use cases: data lakes, self-service analytics, regulations, and data science IT Analysts Data Scientists Developers 9
Unified Governance GDPR and IBM s Unified Governance platform 360 view of customers, suppliers and citizens Master Data Management IBM Unified Governance platform Test data mgmt., structured data archiving, privacy and masking Optim Metadata, stewardship and policy mgmt. Info Governance Catalog Data models, records and retention mgmt., and content data archiving ILG Single Version of Truth Manage PII Data Policy Management Content life cycle mgmt. 360 view Metadata Glossary Auto discovery 10
Data Policies General Data Protection Regulation (GDPR) GDPR fines are 4% of a company s total annual revenue. The countdown has begun 395 days and counting 11
Accelerate Cloud Value through Analytics Get started on your journey TODAY! Go explore -- ibm.com/gdpr ibm.biz/machinelearning ibm.com/analytics/us/en/watson-dataplatform/platform.html Hybrid Data Management A hybrid approach to work within evolving environments Machine Learning & Data Science New ways to enhance your decisions and operations Unified Governance Insight and compliance Open Source: Hadoop, Spark & more A commitment to openness for speed and innovation Visualization Discover and visualize data assets 12
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