| Description |
1 online resource |
| Contents |
Intro -- Preface -- Who This Book Is For -- O'Reilly Online Learning -- How to Contact Us -- Acknowledgments from the Authors -- Acknowledgments from Paul Zikopoulos -- 1. What in the AI? How Did We Get Here? -- Collecting Data in Real Time, but Understanding It in Stale Time -- The Modality of Everything and the Data Collection Curve -- Even Steeper: The Future of the Data Collection Curve -- Where We Are Now-Haystacks, Needles, and More Data -- How to Displace Today's Disruptors -- Let's Get Ready for a Climb! -- 2. The Journey to AI -- What Is Artificial Intelligence, Anyway? |
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Types of AI -- Data -- Models -- Where AI Has Been -- What Does AI Mean for Business? -- The Journey to AI -- All Radically New Technologies Face Resistance -- Where Are We Now? And Where Are We Going? -- Moving Forward -- 3. How to Overcome AI Failures and Challenges -- AI's Emergence in Business Today -- Data -- Computing Power -- Investment -- Early Examples of AI Success -- Example: Vodafone's TOBi Transforms the Customer Experience -- Example: How a French Bank Built on Its Strength of Quality Customer Service -- Early AI Failures -- AI Challenges: Data, Talent, Trust -- AI Challenge: Data |
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AI Challenge: Talent -- High demand, low supply for potential employees -- Culture inhibitors -- Siloed people and departments -- AI Challenge: Trust -- Fairness -- Explainability -- Robustness -- Transparency and accountability -- Value alignment -- Overcoming Challenges with Advanced Research and Products -- Overcoming Challenges with the Right Partner -- 4. The AI Ladder: A Path to Organizational Transformation -- Suitability of AI -- Determining the Right Business Problems to Solve with AI -- Building a Data Team -- Putting the Budget in Place -- Developing an Approach |
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There Is No AI Without IA -- The AI Ladder -- Collect -- Organize -- Analyze -- Infuse -- Simplify, Automate, and Transform -- 5. Modernize Your Information Architecture -- A Modern Infrastructure for AI -- All Parts Are Visible -- Legacy Systems Are Made Accessible or Eliminated -- Example: Network Rail uses AI to modernize its infrastructure -- All Parts of the System Are Continuously Monitored -- Inefficiencies Are Identified and Removed -- New Architectures for IT -- Data: The Fuel -- Cloud: The Means -- To the Cloud, and Beyond: Cloud as Capability -- Fuel for the Fire |
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From Databases to Data Warehouses, Data Marts, and Data Lakes -- Example: Wireless Carrier Architects a Solution Using Both a Data Lake and a Data Warehouse -- Data Virtualization -- Unifying Access to Data Through Big SQL -- Object Storage as the Preferred Fabric -- Open Data Stores and Open Data Formats -- Next-Generation Databases -- The Power of an AI Database -- Streaming Data -- Get the Right Tools -- The Importance of Open Source Technologies -- Community Thinking and Culture -- High Code and Component Quality -- Real Examples of Modernizing IT Infrastructure |
| Note |
Example: Siemens Looks to the Cloud to Unify Its Data Processes |
| Subject |
Business enterprises -- Technological innovations.
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Entreprises -- Innovations. |
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Business enterprises -- Technological innovations |
| Added Author |
Zikopoulos, Paul, author.
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| Other Form: |
Print version: Thomas, Rob. AI Ladder : Accelerate Your Journey to AI. Sebastopol : O'Reilly Media, Incorporated, ©2020 |
| ISBN |
9781492073383 (electronic book) |
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1492073385 (electronic book) |
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1492073407 |
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9781492073406 (electronic bk.) |
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