book

The AI Organization

by David Carmona

November 2019

Intermediate to advanced

260 pages

6h 32m

English

O'Reilly Media, Inc.

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Conventions Used in This BookO’Reilly Online LearningHow to Contact Us
The Emergence of AIAI CapabilitiesLearningPerceptionCognitionAI Capabilities Cheat SheetThe AI Organization
Understanding Your Application PortfolioApproaches to Software Transformation with AIInfusing AI into Your ApplicationsCreating More Engaging ApplicationsCreating More Productive ApplicationsCreating New Applications with Conversational AI InterfacesApproaches to Your Conversational AI StrategyOmni-BotsOmni-Channel Bots
Transforming Your Business UnitsIdentifying and Evaluating Use CasesTypical AI Use CasesHorizontal ProcessesMarketingSalesFinanceHuman ResourcesIT and Software DevelopmentCustomer ServiceVertical ProcessesManufacturingFinancial ServicesRetailPublic SectorHealth Care
The Birth of the Citizen Data ScientistDemocratization of KnowledgeDemocratization of AI ConsumptionDemocratization of AI CreationAI Democratization ScenariosManaging Shadow AI

From Projects to Products to PlatformArchitecting Teams for a Platform Approach: MLOpsThe Agile Loop of MLOpsCreating an AI TeamWhere Should the AI Team Report To?Building Versus Buying
Technologies InvolvedOperational Data StoresData WarehousesData LakesKnowledge GraphsConsolidating Your Data Estate: Data HubsData-Driven Culture
Skills for Technical DepartmentsSkills for Business UnitsSkills for Any EmployeeStrategies for Talent DevelopmentTechnical TrainingBusiness TrainingHiring for the AI Organization
Responsible AI PrinciplesFairnessReliability And SafetyPrivacy And SecurityInclusivenessTransparencyAccountabilityThe Responsible AI Development LifecycleDefinitionDevelopmentOperationsPractices for the Responsible AI Lifecycle
Creating Your First Python ApplicationInstalling the Development EnvironmentPython FundamentalsLearn MoreConsuming Your First AI ServiceConfiguring the ServiceConsuming the Service from PythonUsing Text AnalyticsLearn MoreCreating Your First BotCreating Your First LUIS ServiceAdding IntentsAdding EntitiesTesting and Publishing Your ServiceConsuming the Service from PythonLearn MoreCreating Your First Machine Learning ModelBasic ConceptsLinear RegressionMultivariable Linear RegressionGradient DescentClassification ModelsOther Machine Learning AlgorithmsCreating Your First Artificial Neural Network ModelArtificial Neural Networks and the Human BrainHow Artificial Neural Networks WorkCreating a Neural Network with Keras and TensorFlowMore Neural Network ArchitecturesReinforcement LearningCartPole ExampleQ-Learning AlgorithmDeep Q-LearningLearn More

Overview

Much in the same way that software transformed business in the past two decades, AI is set to redefine organizations and entire industries. Just as every company is a software company today, every company will soon be an AI company.

This practical guide explains how business and technical leaders can embrace this new breed of organization. Based on real customer experience, Microsoft’s David Carmona covers the journey necessary to become an AI Organization—from applying AI in your business today to the deep transformation that can empower your organization to redefine the industry.

You'll learn the core concepts of AI as they are applied to real business, explore and prioritize the most appropriate use cases for AI in your company, and drive the organizational and cultural change needed to transform your business with AI.