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The AI ladder : Accelerate your journey to AI By Rob Thomas and Paul Zikapoulos.

By: Material type: TextTextPublication details: Sebastopol, CA : O'Reilly Media, Inc. c2020.Edition: 1Description: i-xii+210PISBN:
  • 978194435037
Subject(s): DDC classification:
  • 006.3 THO-A
Contents:
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? 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 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 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 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
Summary: With this practical guide, business leaders will discover where they are in their AI journey and learn the steps necessary to successfully scale AI throughout their organization.
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Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 006.3 THO-A (Browse shelf(Opens below)) Available DCB3985

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? 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 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 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 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

With this practical guide, business leaders will discover where they are in their AI journey and learn the steps necessary to successfully scale AI throughout their organization.

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