The AI ladder : accelerate your journey to AI
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English
ISBN
9781492073383, 1492073385, 1492073407, 9781492073406
Notes
General Note
Example: Siemens Looks to the Cloud to Unify Its Data Processes
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O'Reilly,O'Reilly Online Learning: Academic/Public Library Edition
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Citations
APA Citation, 7th Edition (style guide)
Thomas, R., & Zikopoulos, P. (2020). The AI ladder: accelerate your journey to AI . O'Reilly Media, Inc..
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)Thomas, Rob and Paul, Zikopoulos. 2020. The AI Ladder: Accelerate Your Journey to AI. O'Reilly Media, Inc.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Thomas, Rob and Paul, Zikopoulos. The AI Ladder: Accelerate Your Journey to AI O'Reilly Media, Inc, 2020.
MLA Citation, 9th Edition (style guide)Thomas, Rob,, and Paul Zikopoulos. The AI Ladder: Accelerate Your Journey to AI O'Reilly Media, Inc., 2020.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
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Grouped Work ID
b18d5922-77bb-f0ab-f291-554b9f1bc59d-eng
Grouping Information
Grouped Work ID | b18d5922-77bb-f0ab-f291-554b9f1bc59d-eng |
---|---|
Full title | ai ladder accelerate your journey to ai |
Author | thomas rob |
Grouping Category | book |
Last Update | 2024-03-29 07:51:22AM |
Last Indexed | 2024-04-17 02:29:59AM |
Book Cover Information
Image Source | contentCafe |
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First Loaded | Aug 5, 2023 |
Last Used | Jan 23, 2024 |
Marc Record
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Last File Modification Time | Mar 21, 2023 12:36:52 PM |
Suppressed | Record had no items |
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505 | 0 | |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? | |
505 | 8 | |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 | |
505 | 8 | |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 | |
505 | 8 | |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 | |
505 | 8 | |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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