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|a Thomas, Rob,
|e author.
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1 |
4 |
|a The AI ladder :
|b accelerate your journey to AI /
|c Rob Thomas and Paul Zikapoulos.
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|a Sebastopol, CA :
|b O'Reilly Media, Inc.,
|c [2020]
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|a 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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| 505 |
8 |
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|a 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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| 505 |
8 |
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|a 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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| 505 |
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|a 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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| 505 |
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|a 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
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| 500 |
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|a Example: Siemens Looks to the Cloud to Unify Its Data Processes
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0 |
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|a Online resource; title from digital title page (viewed on July 13, 2020).
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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|a Business enterprises
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|i Print version:
|a Thomas, Rob.
|t AI Ladder : Accelerate Your Journey to AI.
|d Sebastopol : O'Reilly Media, Incorporated, ©2020
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