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Zachary Jarvinen. Enterprise AI For Dummies
Enterprise AI For Dummies® To view this book's Cheat Sheet, simply go to www.dummies.com and search for “Enterprise AI For Dummies Cheat Sheet” in the Search box. Table of Contents
List of Tables
List of Illustrations
Guide
Pages
Introduction
About This Book
Strong, Weak, General, and Narrow
Foolish Assumptions
Icons Used in This Book
Beyond the Book
Where to Go from Here
Exploring Practical AI and How It Works
Demystifying Artificial Intelligence
Understanding the Demand for AI
Converting big data into actionable information
Descriptive analytics
Diagnostic analytics
Predictive analytics
Prescriptive analytics
AI-powered analytics
Relieving global cost pressure
Accelerating product development and delivery
Facilitating mass customization
Identifying the Enabling Technology
Processing
Algorithms
Data
Volume
Variety
Velocity
Storage
Discovering How It Works
Semantic networks and symbolic reasoning
Text and data mining
Data mining
Text mining
Machine learning
Learning
Prediction
Auto-classification
Supervised classification
Unsupervised classification
Predictive analysis
Deep learning
Sentiment analysis
Looking at Uses for Practical AI
Recognizing AI When You See It
ELIZA
Grammar check
Virtual assistants
Chatbots
Recommendations
Medical diagnosis
Network intrusion detection and prevention
Fraud protection and prevention
Benefits of AI for Your Enterprise
Healthcare
Manufacturing
Energy
Banking and investments
Insurance
Retail
Legal
Human resources
Supply chain
Transportation and travel
Telecom
Public sector
Professional services
Marketing
Media and entertainment
Preparing for Practical AI
Democratizing AI
Visualizing Results
Comparison
Composition
Distribution
Relationship
Digesting Data
Identifying data sources
Cleaning the data
Defining Use Cases
A → B
Good use cases
Bad use cases
Reinforcement learning and model drift
Insufficient or biased data
False positives
Reducing bias
Choosing a Model
Unsupervised learning
Supervised learning
Deep learning
Reinforcement learning
Implementing Practical AI
The AI Competency Hierarchy
Data collection
Data flow
Explore and transform
Business intelligence and analytics
Machine learning and benchmarking
Artificial intelligence
Scoping, Setting Up, and Running an Enterprise AI Project
Define the task
Collect the data
Prepare the data
Build the model
Test and evaluate the model
Deploy and integrate the model
Maintain the model
Creating a High-Performing Data Science Team
The Critical Role of Internal and External Partnerships
Internal partnerships
External partnerships
The importance of executive buy-in
Weighing Your Options: Build versus Buy
When you should do it yourself
When you should partner with a provider
Hosting in the Cloud versus On Premises
What the cloud providers say
What the hardware vendors say
The truth in the middle
Scalability
Affordability
Gravity
Security
Regulatory requirements
Exploring Vertical Market Applications
Healthcare/HMOs: Streamlining Operations
Surfing the Data Tsunami
Breaking the Iron Triangle with Data
IMPROVING QUALITY OF LIFE
Matching Algorithms to Benefits
INCREASING ACCURACY IN CANCER SCREENING
Examining the Use Cases
Delivering lab documents electronically
Taming fax
Automating redaction
Improving patient outcomes
Optimizing for a consumer mindset
Biotech/Pharma: Taming the Complexity
Navigating the Compliance Minefield
Weaponizing the Medical, Legal, and Regulatory Review
MLR review for product development
MLR review for sales and marketing
Enlisting Algorithms for the Cause
Examining the Use Cases
Product discovery
Clinical trials
Product development
Quality control
Predictive maintenance
Manufacturing logistics
Regulatory compliance
Product commercialization
Accounting and finance
Manufacturing: Maximizing Visibility
Peering through the Data Fog
Finding ways to reduce costs
Handling zettabytes of data
Clearing the Fog
Connected supply chain
Proactive replenishment
Predictive maintenance
Pervasive visibility
DELIVERING VALUE FROM DATA
Clarifying the Connection to the Code
Optimize inventory
Optimize maintenance
Optimize supply chain
Improve quality
Automate repetitive tasks
Examining the Use Cases
Minimize risk
Maintain product quality
Streamline database queries
Outsource predictive maintenance
Customize products
Expand revenue streams
Save the planet
Delegate design
Oil and Gas: Finding Opportunity in Chaos
Wrestling with Volatility
Pouring Data on Troubled Waters
Deriving meaningful insights
Regaining control over your data
Wrangling Algorithms for Fun and Profit
Examining the Use Cases
Achieving predictive maintenance
Enhancing maintenance instructions
Optimizing asset performance
Exploring new projects
Government and Nonprofits: Doing Well by Doing Good
Battling the Budget
Government
Legacy IT systems
Data silos
Data security
Nonprofit
Fraud
Optimizing Past the Obstacles
Digital transformation
TRANSFORMING THE POSTAL SERVICE
The future of work
Data security
Operational costs
Fraud
Engagement
Nonprofit
Government
IMPROVING URBAN LIFE WITH AI
Connecting the Tools to the Job
Examining the Use Cases
Enhance citizen services
Provide a global voice of the citizen
Make your city smarter
Boost employee productivity and engagement
Find the right employees (and volunteers)
Improve cybersecurity
Utilities: Renewing the Business
Coping with the Consumer Mindset
Utilizing Big Data
The smart grid
Empowering the organization
Connecting Algorithms to Goals
Examining the Use Cases
Optimizing equipment performance and maintenance
Enhancing the customer experience
Providing better support
Streamlining back-office operations
Managing demand
Banking and Financial Services: Making It Personal
Finding the Bottom Line in the Data
Moving to “open banking”
Dealing with regulation and privacy
Offering speedier service
Leveraging Big Data
Restructuring with Algorithms
Examining the Use Cases
Improving personalization
Enhancing customer service
Strengthening compliance and security
Retail: Reading the Customer’s Mind
Looking for a Crystal Ball
Omnichanneling
Bridging online and in-store channels
Offering a consistently positive experience
Personalizing
Reading the Customer’s Mail
A fluid omnichannel experience
Enhanced personalization
Accurate forecasting
Looking Behind the Curtain
Examining the Use Cases
Voice of the customer
Personalized recommendations
AI-powered inventory
Transportation and Travel: Tuning Up Your Ride
Avoiding the Bumps in the Road
Planning the Route
Checking Your Tools
Examining the Use Cases
Autonomous vehicles
Predictive maintenance
Asset performance optimization
Enhanced driver and passenger experiences
Telecommunications: Connecting with Your Customers
Listening Past the Static
Finding the Signal in the Noise
Looking Inside the Box
Examining the Use Cases
Achieve predictive maintenance and network optimization
Enhance customer service with chatbots
Improve business decisions
Legal Services: Cutting Through the Red Tape
Climbing the Paper Mountain
Reading and writing
And arithmetic
Foot in mouth disease
Planting Your Flag at the Summit
Linking Algorithms with Results
Examining the Use Cases
Discovery and review
Predicting cost and fit
Analyzing data to support litigation
Automating patent and trademark searches
Analyzing costs for competitive billing
Professional Services: Increasing Value to the Customer
Exploring the AI Pyramid
Climbing the AI Pyramid
Unearthing the Algorithmic Treasures
Healthcare
Content management
Compliance
Law
Manufacturing
Oil and gas
Utilities
Examining the Use Cases
Document intake, acceptance, digitization, maintenance, and management
Auditing, fraud detection, and prevention
Risk analysis and mitigation
Regulatory compliance management
Claims processing
Inventory management
Resume processing and candidate evaluation
Media and Entertainment: Beating the Gold Rush
Mining for Content
Asset management
Metadata
Distribution
Silos
Content compliance
Striking It Rich
Metadata
Digital distribution
Digital asset management
Assaying the Algorithms
Examining the Use Cases
Search optimization
Workflow optimization
Globalization
Exploring Horizontal Market Applications
Voice of the Customer/Citizen: Finding Coherence in the Cacophony
Hearing the Message in the Media
Delivering What They Really Want
Answering the Right Questions
Examining Key Industries
Consumer packaged goods
Public and nonprofit organizations
Asset Performance Optimization: Increasing Value by Extending Lifespans
Spying on Your Machines
Fixing It Before It Breaks
Learning from the Future
Data collection
Analysis
Putting insights to use
Examining the Use Cases
Production automation and quality control
Preventive maintenance
Process optimization
Intelligent Recommendations: Getting Personal
Making Friends by the Millions
Listening to social media
Mining data exhaust
Reading Minds
Knowing Which Buttons to Push
Popular product recommendation
Market-basket analysis
Propensity modeling
Data and text mining
Collaborative filtering (CF)
Content-based filtering (CBF)
Cross-validation
Data visualization
Examining Key Industries
Finance
Credit card offers
Retail
Content Management: Finding What You Want, When You Want It
Introducing the Square Peg to the Round Hole
Categorizing and organizing content
Automating with AI
Finding Content at the Speed of AI
Expanding Your Toolbox
Access the content
Extract concepts and entities
Categorize and classify content
Automate or recommend next best actions
Examining the Use Cases
Legal discovery process
Content migration
PII detection
AI-Enhanced Content Capture: Gathering All Your Eggs into the Same Basket
Counting All the Chickens, Hatched and Otherwise
Tracing the history of capture technology
Moving capture technology forward
Monetizing All the Piggies, Little and Otherwise
Streamline back-office operations
Improve compliance
Reduce risk of human error
Support business transformation
Improve operational knowledge
Getting All Your Ducks in a Row
Capture
Digitize where needed
Process, classify, and extract
Validate edge cases
Manage
Visualize
Examining Key Industries
Financial services
State government
Healthcare
Regulatory Compliance and Legal Risk Reduction: Hitting the Bullseye on a Moving Target
Dodging Bullets
Fines
Increasing regulation
Finance
Legal
Healthcare
Data privacy
Strategy
Shooting Back
Make better decisions
Increase customer confidence
Win more business
Boost the bottom line
Building an Arsenal
Examining the Use Cases
Manage third-party risk
Manage operational risk
Monitor compliance risk
Monitor changes in regulations
Maintain data privacy
Maintain data security
Detect fraud and money laundering
Optimize workflow
Knowledge Assistants and Chatbots: Monetizing the Needle in the Haystack
Missing the Trees for the Forest
Recognizing the problem
Defining terms
Hearing the Tree Fall
WHAT AN IKA CAN DO
Making Trees from Acorns
Examining the Use Cases
Customer support
Legal practice
Enterprise search
Compliance management
Academic research
Fact checking
AI-Enhanced Security: Staying Ahead by Watching Your Back
Closing the Barn Door
The story in the statistics
Understanding the risk
Identifying the source
The state of current solutions
Locking the Barn Door
Knowing Which Key to Use
Examining the Use Cases
Detecting threats by matching a known threat marker
Detecting breaches by identifying suspicious behavior
Masquerade attacks
Process, service, or driver anomalies
Module load anomalies
Behavior anomalies
Remediating attacks
The Part of Tens
Ten Ways AI Will Influence the Next Decade
Proliferation of AI in the Enterprise
AI Will Reach Across Functions
AI R&D Will Span the Globe
The Data Privacy Iceberg Will Emerge
More Transparency in AI Applications
Augmented Analytics Will Make It Easier
Rise of Intelligent Text Mining
Chatbots for Everyone
Ethics Will Emerge for the AI Generation
Rise of Smart Cities through AI
Ten Reasons Why AI Is Not a Panacea
AI Is Not Human
Pattern Recognition Is Not the Same As Understanding
AI Cannot Anticipate Black Swan Events
AI Might Be Democratized, but Data Is Not
AI Is Susceptible to Inherent Bias in the Data
#RacialBias
#GenderBias
#EthnicBias
Collection bias
Proxy bias
AI Is Susceptible to Poor Problem Framing
AI Is Blind to Data Ambiguity
AI Will Not, or Cannot, Explain Its Own Results
AI sends you to jail
AI cuts your medical benefits
AI and the black box
AI diagnoses your latent schizophrenia
AI can be fooled
AI Is Not Immune to the Law of Unintended Consequences
Index. A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
Q
R
S
T
U
V
W
Y
Z
About the Author
Dedication
Author’s Acknowledgments
WILEY END USER LICENSE AGREEMENT
