Cognitive Computing and Big Data Analytics

Cognitive Computing and Big Data Analytics (2015) .. by Judith Hurwitz (@jhurwitz) etc


Human Intelligence + Machine Intelligence
Putting the Pieces Together
The Book’s Focus
Overview of the Book and Technology
How This Book Is Organized

Chapter 1 The Foundation of Cognitive Computing
Cognitive Computing as a New Generation
The Uses of Cognitive Systems
What Makes a System Cognitive?
Gaining Insights from Data
Artificial Intelligence as the Foundation of Cognitive Computing
Understanding Cognition
Two Systems of Judgment and Choice
Understanding Complex Relationships Between Systems
The Elements of a Cognitive System

Chapter 2 Design Principles for Cognitive SystemsComponents of a Cognitive System
Building the Corpus
Bringing Data into the Cognitive System
Machine Learning
Hypotheses Generation and Scoring
Presentation and Visualization Services

Chapter 3 Natural Language Processing in Support of a Cognitive System
The Role of NLP in a Cognitive System
Semantic Web
Applying Natural Language Technologies to Business Problems

Chapter 4 The Relationship Between Big Data and Cognitive Computing
Dealing with Human-Generated Data
Defining Big Data The Architectural Foundation for Big DataAnalytical Data Warehouses
Data in Motion and Streaming Data
Integration of Big Data with Traditional Data

Chapter 5 Representing Knowledge in Taxonomies and Ontologies
Representing Knowledge
Defining Taxonomies and Ontologies
Explaining How to Represent Knowledge
Models for Knowledge Representation
Implementation Considerations

Chapter 6 Applying Advanced Analytics to Cognitive Computing
Advanced Analytics Is on a Path to Cognitive Computing
Key Capabilities in Advanced Analytics Using Advanced Analytics to Create ValueImpact of Open Source Tools on Advanced Analytics

Chapter 7 The Role of Cloud and Distributed Computing in Cognitive Computing
Leveraging Distributed Computing for Shared Resources
Why Cloud Services Are Fundamental to Cognitive Computing Systems
Characteristics of Cloud Computing
Cloud Computing Models
Delivery Models of the Cloud
Managing Workloads
Security and Governance
Data Integration and Management in the Cloud

Chapter 8 The Business Implications of Cognitive Computing
Preparing for Change Advantages of New Disruptive ModelsWhat Does Knowledge Mean to the Business?
The Difference with a Cognitive Systems Approach
Meshing Data Together Differently
Using Business Knowledge to Plan for the Future
Answering Business Questions in New Ways
Building Business Specific Solutions
Making Cognitive Computing a Reality
How a Cognitive Application Can Change a Market

Chapter 9 IBM’s Watson as a Cognitive System
Watson Defined
Advancing Research with a “Grand Challenge”
Preparing Watson for Jeopardy!
Preparing Watson for Commercial Applications
The Components of DeepQA Architecture

Chapter 10 The Process of Building a Cognitive Application
The Emerging Cognitive Platform
Defining the Objective
Defining the Domain
Understanding the Intended Users and Defining their Attributes
Defining Questions and Exploring Insights
Creating and Refining the Corpora
Training and Testing

Chapter 11 Building a Cognitive Healthcare Application
Foundations of Cognitive Computing for Healthcare
Constituents in the Healthcare Ecosystem
Learning from Patterns in Healthcare Data
Building on a Foundation of Big Data Analytics
Cognitive Applications across the Healthcare Ecosystem
Starting with a Cognitive Application for Healthcare
Using Cognitive Applications to Improve Health and Wellness
Using a Cognitive Application to Enhance the Electronic Medical Record
Using a Cognitive Application to Improve Clinical Teaching

Chapter 12 Smarter Cities: Cognitive Computing in Government
How Cities Have Operated
The Characteristics of a Smart City
The Rise of the Open Data Movement Will Fuel Cognitive Cities
The Internet of Everything and Smarter Cities
Understanding the Ownership and Value of Data
Cities Are Adopting Smarter Technology Today for Major Functions
Smarter Approaches to Preventative Healthcare
Building a Smarter Transportation Infrastructure
Using Analytics to Close the Workforce Skills Gap
Creating a Cognitive Community Infrastructure
The Next Phase of Cognitive Cities

Chapter 13 Emerging Cognitive Computing Areas
Characteristics of Ideal Markets for Cognitive Computing
Vertical Markets and Industries

Chapter 14 Future Applications for Cognitive Computing
Requirements for the Next Generation
Technical Advancements That Will Change the Future of Cognitive Computing
What the Future Will Look Like
Emerging Innovations