Format:
1 online resource (355 pages)
Edition:
1st ed.
ISBN:
9781119696391
Note:
Intro -- Title Page -- Copyright Page -- Table of Contents -- Introduction -- About This Book -- Strong, Weak, General, and Narrow -- Foolish Assumptions -- Icons Used in This Book -- Beyond the Book -- Where to Go from Here -- Part 1 Exploring Practical AI and How It Works -- Chapter 1 Demystifying Artificial Intelligence -- Understanding the Demand for AI -- Converting big data into actionable information -- Relieving global cost pressure -- Accelerating product development and delivery -- Facilitating mass customization -- Identifying the Enabling Technology -- Processing -- Algorithms -- Data -- Storage -- Discovering How It Works -- Semantic networks and symbolic reasoning -- Text and data mining -- Machine learning -- Auto-classification -- Predictive analysis -- Deep learning -- Sentiment analysis -- Chapter 2 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 -- Chapter 3 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 -- Reducing bias -- Choosing a Model -- Unsupervised learning -- Supervised learning -- Deep learning -- Reinforcement learning -- Chapter 4 Implementing Practical AI -- The AI Competency Hierarchy -- Data collection -- Data flow
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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 -- Chapter 17 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 -- Part 3 Exploring Horizontal Market Applications -- Chapter 18 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 -- Chapter 19 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 -- Chapter 20 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
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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 -- Part 2 Exploring Vertical Market Applications -- Chapter 5 Healthcare/HMOs: Streamlining Operations -- Surfing the Data Tsunami -- Breaking the Iron Triangle with Data -- Matching Algorithms to Benefits -- Examining the Use Cases -- Delivering lab documents electronically -- Taming fax -- Automating redaction -- Improving patient outcomes -- Optimizing for a consumer mindset -- Chapter 6 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 -- Chapter 7 Manufacturing: Maximizing Visibility -- Peering through the Data Fog -- Finding ways to reduce costs -- Handling zettabytes of data -- Clearing the Fog -- Connected supply chain
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Finance
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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 -- Chapter 12 Retail: Reading the Customer's Mind -- Looking for a Crystal Ball -- Omnichanneling -- 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 -- Chapter 13 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 -- Chapter 14 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 -- Chapter 15 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 -- Chapter 16 Professional Services: Increasing Value to the Customer -- Exploring the AI Pyramid -- Climbing the AI Pyramid -- Unearthing the Algorithmic Treasures -- Healthcare
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Proactive replenishment -- Predictive maintenance -- Pervasive visibility -- 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 -- Chapter 8 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 -- Chapter 9 Government and Nonprofits: Doing Well by Doing Good -- Battling the Budget -- Government -- Nonprofit -- Fraud -- Optimizing Past the Obstacles -- Digital transformation -- The future of work -- Data security -- Operational costs -- Fraud -- Engagement -- 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 -- Chapter 10 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 -- Chapter 11 Banking and Financial Services: Making It Personal -- Finding the Bottom Line in the Data
Additional Edition:
Print version Jarvinen, Zachary Enterprise AI for Dummies Newark : John Wiley & Sons, Incorporated,c2020 ISBN 9781119696292
Language:
English
Keywords:
Electronic books
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Electronic books
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