What Did Your Data Do Last Night?

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Linda Bridges
6 years ago
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1 What Did Your Data Do Last Night? Jean-François Puget Distinguished Engineer, Machine Learning and Optimization, Kaggle competition master

2 Did your data... contribute to increasing IT costs? spawn bad business decisions?.put the business in compliance violation? create security risks for the organization? Estimated $36B total industry spend on storage and infrastructure, which will double by % of companies cite business intelligence problems associated with missing data 69% of enterprise information has no legal, compliance or business utility US data breaches jump 29% to record-high of 791 in 1H 2017 Identity Theft Resource Center, July 2017, At Mid-Year, US Data Breaches Increase at Record Pace.

3 OR did your data increase your competitive advantage so you could... extract meaningful insight? Insights-driven firms are 39% more likely to report YOY revenue growth of 15% or more.* take more informed actions? Analytics spending leads to 6% operating profit increases...create differentiating, predictive business models? 86% of companies report digital intelligence has favorably impacted revenue * Forrester's Global Business Technographics Data And Analytics Survey, 2016, as cited in What You Need To Go From Data Rich To Insights Driven Vision: The Information Strategy And Architecture Playbook, November 2016

When data works 24 X 7, your business benefits Lower costs and streamline

Operations Planning & Optimization Enable new competitive strategies and

Insight Predictive/Preventative Maintenance Improve customer intimacy

4 When data works 24 X 7, your business benefits Lower costs and streamline operations Risk Management Loss & Fraud Prevention Inventory Optimization Operations Planning & Optimization Enable new competitive strategies and business models End-to-End Customer Experiences IOT Analytics Social Media Insight Predictive/Preventative Maintenance Improve customer intimacy Optimized Offers & Cross-Selling Audience & Fan Insight Personalized Shopping Proactive Marketing

5 Three elements for success Collect your data Organize your data Analyze your data Data must be complete, applicable and accessible everywhere Data must be secure, clean and easy to find to enable trusted self-service access You need the ability to drive self-service discovery and automate continuous decision making

6 Collect Organize Analyze Hybrid Data Management Unified Governance Data Science & Visualization Write once, access anywhere with a common access layer to promote application independence Prepare, publish and protect your data to drive insights while mitigating compliance risks Descriptive, predictive, prescriptive to understand the current, predict the future and change the outcome Automation through Available on Choice because Machine Learning On-Premises and Cloud Open Source

7 Machine learning automation for better health Skin image analysis has the potential to diagnose skin cancer before it progresses to the lymphatic system Organize Analyze

8 Machine learning fueling the evolution of autonomous vehicles Since 2009, Google generated 2 million miles worth of data from their autonomous fleet Tesla gathered over 2 billion miles of data in less than 2 years Collect Analyze

9 Machine learning for faster and better customer experiences You are the head of claims. Could you improve the customer experience and save money by automating claims assessments? Collect Analyze

10 Machine learning technology is advancing quickly, driven by open source contributions

11 What about the 80% of the world s data that cannot be googled?

12 Bring analytics to where your data sources are Don t move a newly-built ship into the desert. Apply data science where your data lives.

13 IBM Analytics Table Stakes for a Digital Journey Machine Learning in Everything Govern Everywhere & Everything Open Source at the Core of Everything 2017 IBM Corporation

Applications Cognitive applications for business and

A New Architecture AI Data Cloud Sophisticated AI services

corpus) as foundational to the architecture.

one client s data to train another client s AI.

14 Applications Cognitive applications for business and industries trained with IBM s 30- year data and expertise. A New Architecture AI Data Cloud 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.

15 Pure Public Cloud Safe Passage to the Cloud Public Machine Learning & Data Science Unified Governance Hybrid Data Management Visualization Open Source Essential Elements of Data & Analytics Hybrid Private

16 As data becomes more ACCESSIBLE it provides more VALUE Outcomes Most are here Data Driven Culture Change Breaking Silos Discover what Understand why Insight Driven Prediction Optimization Automation Collaboration Digital Transformation New Business Models Disruptive Technology Real-Time Decisions Capabilities Self Service Reports Business Intelligence Models Visualization Applications Instrumentation Orchestration Integration Drivers Cost Reduction Modernization Competitive Market Leader Value from Data

Accelerating Cloud Value through Analytics

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