The AI Organization. Learn from Real Companies and Microsoft’s Journey How to Redefine Your Organization with AI - Helion
ebook
Autor: David CarmonaISBN: 978-14-920-5732-1
stron: 260, Format: ebook
Data wydania: 2019-11-12
Księgarnia: Helion
Cena książki: 126,65 zł (poprzednio: 147,27 zł)
Oszczędzasz: 14% (-20,62 zł)
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.
Osoby które kupowały "The AI Organization. Learn from Real Companies and Microsoft’s Journey How to Redefine Your Organization with AI", wybierały także:
- Odoo 10 Implementation Cookbook 175,88 zł, (29,90 zł -83%)
- Building ERP Solutions with Microsoft Dynamics NAV 175,88 zł, (29,90 zł -83%)
- Modern Scala Projects 157,37 zł, (29,90 zł -81%)
- Learning Einstein Analytics 157,37 zł, (29,90 zł -81%)
- Mastering Microsoft Dynamics CRM 2016 157,37 zł, (29,90 zł -81%)
Spis treści
The AI Organization. Learn from Real Companies and Microsoft’s Journey How to Redefine Your Organization with AI eBook -- spis treści
- Preface
- Conventions Used in This Book
- OReilly Online Learning
- How to Contact Us
- AI Hero: Julián
- 1. The AI Organization Defined
- The Emergence of AI
- AI Capabilities
- Learning
- Perception
- Cognition
- AI Capabilities Cheat Sheet
- The AI Organization
- AI Hero: Kriti
- 2. The Technical Transformation: Bringing AI to Every Application
- Understanding Your Application Portfolio
- Approaches to Software Transformation with AI
- Infusing AI into Your Applications
- Creating More Engaging Applications
- Creating More Productive Applications
- Creating New Applications with Conversational AI Interfaces
- Approaches to Your Conversational AI Strategy
- Omni-Bots
- Omni-Channel Bots
- AI Hero: Athina
- 3. The Business Transformation: Bringing AI to Every Business Process
- Transforming Your Business Units
- Identifying and Evaluating Use Cases
- Typical AI Use Cases
- Horizontal Processes
- Marketing
- Sales
- Finance
- Human Resources
- IT and Software Development
- Customer Service
- Vertical Processes
- Manufacturing
- Financial Services
- Retail
- Public Sector
- Health Care
- AI Hero: Tanya
- 4. The People Transformation: Bringing AI to Every Employee
- The Birth of the Citizen Data Scientist
- Democratization of Knowledge
- Democratization of AI Consumption
- Democratization of AI Creation
- AI Democratization Scenarios
- Managing Shadow AI
- AI Hero: Chema
- 5. The Culture of Collaboration: Organizing Teams
- From Projects to Products to Platform
- Architecting Teams for a Platform Approach: MLOps
- The Agile Loop of MLOps
- Creating an AI Team
- Where Should the AI Team Report To?
- Building Versus Buying
- 6. The Culture of Data: Leveraging Your Data Estate
- Technologies Involved
- Operational Data Stores
- Data Warehouses
- Data Lakes
- Knowledge Graphs
- Consolidating Your Data Estate: Data Hubs
- Data-Driven Culture
- Technologies Involved
- AI Hero: Cristian
- 7. The Culture of Talent: Upskilling Your Organization
- Skills for Technical Departments
- Skills for Business Units
- Skills for Any Employee
- Strategies for Talent Development
- Technical Training
- Business Training
- Hiring for the AI Organization
- AI Hero: Cathy
- 8. The Culture of Ethics: Responsible AI
- Responsible AI Principles
- Fairness
- Avoiding bias
- Reliability And Safety
- Testing and monitoring
- Privacy And Security
- Data collection, use, and storage
- Responding to security threats
- Inclusiveness
- Accessibility and inclusive design
- Transparency
- The importance of domain knowledge
- Accountability
- Fairness
- The Responsible AI Development Lifecycle
- Definition
- Development
- Operations
- Practices for the Responsible AI Lifecycle
- Responsible AI Principles
- 9. The AI Heroes
- A. AI Crash Course for Business Leaders
- Creating Your First Python Application
- Installing the Development Environment
- Python Fundamentals
- Learn More
- Consuming Your First AI Service
- Configuring the Service
- Consuming the Service from Python
- Using Text Analytics
- Learn More
- Creating Your First Bot
- Creating Your First LUIS Service
- Adding Intents
- Adding Entities
- Testing and Publishing Your Service
- Consuming the Service from Python
- Learn More
- Creating Your First Machine Learning Model
- Basic Concepts
- Linear Regression
- Multivariable Linear Regression
- Gradient Descent
- Classification Models
- Other Machine Learning Algorithms
- Creating Your First Artificial Neural Network Model
- Artificial Neural Networks and the Human Brain
- How Artificial Neural Networks Work
- Creating a Neural Network with Keras and TensorFlow
- More Neural Network Architectures
- Reinforcement Learning
- CartPole Example
- Q-Learning Algorithm
- Deep Q-Learning
- Learn More
- Creating Your First Python Application
- Index