book

Enterprise AI For Dummies

by Zachary Jarvinen

August 2020

Beginner

352 pages

8h 45m

English

For Dummies

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About This BookStrong, Weak, General, and NarrowFoolish AssumptionsIcons Used in This BookBeyond the BookWhere to Go from Here
Understanding the Demand for AIIdentifying the Enabling TechnologyDiscovering How It Works
Recognizing AI When You See ItBenefits of AI for Your Enterprise
Democratizing AIVisualizing ResultsDigesting DataDefining Use CasesChoosing a Model
The AI Competency HierarchyScoping, Setting Up, and Running an Enterprise AI ProjectCreating a High-Performing Data Science TeamThe Critical Role of Internal and External PartnershipsWeighing Your Options: Build versus BuyHosting in the Cloud versus On Premises
Surfing the Data TsunamiBreaking the Iron Triangle with DataMatching Algorithms to BenefitsExamining the Use Cases
Navigating the Compliance MinefieldWeaponizing the Medical, Legal, and Regulatory ReviewEnlisting Algorithms for the CauseExamining the Use Cases

Peering through the Data FogClearing the FogClarifying the Connection to the CodeExamining the Use Cases
Wrestling with VolatilityPouring Data on Troubled WatersWrangling Algorithms for Fun and ProfitExamining the Use Cases
Battling the BudgetOptimizing Past the ObstaclesConnecting the Tools to the JobExamining the Use Cases
Coping with the Consumer MindsetUtilizing Big DataConnecting Algorithms to GoalsExamining the Use Cases
Finding the Bottom Line in the DataLeveraging Big DataRestructuring with AlgorithmsExamining the Use Cases
Looking for a Crystal BallReading the Customer’s MailLooking Behind the CurtainExamining the Use Cases
Avoiding the Bumps in the RoadPlanning the RouteChecking Your ToolsExamining the Use Cases
Listening Past the StaticFinding the Signal in the NoiseLooking Inside the BoxExamining the Use Cases
Climbing the Paper MountainPlanting Your Flag at the SummitLinking Algorithms with ResultsExamining the Use Cases
Exploring the AI PyramidClimbing the AI PyramidUnearthing the Algorithmic TreasuresExamining the Use Cases
Mining for ContentStriking It RichAssaying the AlgorithmsExamining the Use Cases
Hearing the Message in the MediaDelivering What They Really WantAnswering the Right QuestionsExamining Key Industries
Spying on Your MachinesFixing It Before It BreaksLearning from the FutureExamining the Use Cases
Making Friends by the MillionsReading MindsKnowing Which Buttons to PushExamining Key Industries
Introducing the Square Peg to the Round HoleFinding Content at the Speed of AIExpanding Your ToolboxExamining the Use Cases
Counting All the Chickens, Hatched and OtherwiseMonetizing All the Piggies, Little and OtherwiseGetting All Your Ducks in a RowExamining Key Industries
Dodging BulletsShooting BackBuilding an ArsenalExamining the Use Cases
Missing the Trees for the ForestHearing the Tree FallMaking Trees from AcornsExamining the Use Cases
Closing the Barn DoorLocking the Barn DoorKnowing Which Key to UseExamining the Use Cases
Proliferation of AI in the EnterpriseAI Will Reach Across FunctionsAI R&D Will Span the GlobeThe Data Privacy Iceberg Will EmergeMore Transparency in AI ApplicationsAugmented Analytics Will Make It EasierRise of Intelligent Text MiningChatbots for EveryoneEthics Will Emerge for the AI GenerationRise of Smart Cities through AI
AI Is Not HumanPattern Recognition Is Not the Same As UnderstandingAI Cannot Anticipate Black Swan EventsAI Might Be Democratized, but Data Is NotAI Is Susceptible to Inherent Bias in the DataAI Is Susceptible to Poor Problem FramingAI Is Blind to Data AmbiguityAI Will Not, or Cannot, Explain Its Own ResultsAI Is Not Immune to the Law of Unintended Consequences

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Publisher Resources

ISBN: 9781119696292Purchase Link