Artificial Intelligence (Ai) Implementation In Organizations

AI Adoption and Implementation Challenges and Mitigating Strategies

What you'll learn

Understanding AI Trends and Impact of AI on Businesses

Artificial Intelligence (AI) Adoption and Implementation Challenges

Artificial Intelligence (AI) Implementation Mitigation Strategies

Creation of an Artificial Intelligence (AI) Strategy

9 Case Studies Related to Artificial Intelligence (AI) Implementation

Requirements

Basic knowledge of Artificial Intelligence

Description

This course is designed to demystify the complex journey of AI adoption and implementation in organizations and large enterprises. It provides a roadmap to navigate the AI landscape, covering everything from current trends to hands-on implementation strategies.In today's world, AI is a potent game-changer. But, as we all know, adopting AI is not as straightforward as it might seem. It's a path full of complexities and potential pitfalls. In this course, we will guide you through this labyrinth, deep-diving into the state of AI, its transformative role in businesses, and the nuts and bolts of AI and Machine Learning technologies.However, the course doesn't stop at theory. We confront the real-life challenges of AI implementation head-on, discussing practical mitigation strategies and showcasing intriguing case studies from a variety of organizations. This holistic approach ensures a comprehensive understanding of the opportunities and challenges of AI adoption.By the end of the journey, you'll walk away with actionable insights and best practices to help your organization successfully adopt AI. If you're eager to harness the power of AI but find yourself wrestling with its implementation, this course is designed just for you. Embark on this enlightening journey with us and gain mastery over AI implementation!

Overview

Section 1: Introduction

Lecture 1 Introduction

Lecture 2 Agenda

Section 2: Current State of Artificial Intelligence (AI) in Industry and Organizations

Lecture 3 Current Artificial Intelligence (AI) Trends

Lecture 4 Artificial Intelligence (AI) Use in Business and Organizations

Lecture 5 Overview of Artificial Intelligence (AI) Technologies and Use Cases

Section 3: Artificial Intelligence (AI) Implementation Challenges and Mitigation Strategies

Lecture 6 Introduction to AI Organizational Challenges

Lecture 7 AI Trustworthiness

Lecture 8 Article: AI Trustworthiness

Lecture 9 Organizational AI Strategy

Lecture 10 Article: Considerations in Organizational AI Strategy

Lecture 11 Identification of AI Related Use Cases

Lecture 12 Article: How Organizations Should Identify AI-Related Use Cases?

Lecture 13 Data Quality and Availability

Lecture 14 Article: Data Quality and Availability: Ensuring Reliable and Accessible Data

Lecture 15 Organizational Cultural Issues

Lecture 16 Article: Addressing Organizational Cultural Issues

Lecture 17 Data Governance

Lecture 18 Article: Data Governance

Lecture 19 Integrating AI into Organizational Systems

Lecture 20 Article: Integrating AI into Organizational Systems

Lecture 21 AI Technology Operational

Lecture 22 Article: How to make AI technology operational?

Lecture 23 Handling Ethical Issues

Lecture 24 Article: How to address and handle Ethical Issues?

Section 4: Case Studies: Artificial Intelligence (AI) Implementation

Lecture 25 Case Study - Enhancing AI Trustworthiness

Lecture 26 Case Study - Identifying AI Related Use Cases in Organizations

Lecture 27 Case Study - Enhancing Data Quality and Availability for AI Implementation

Lecture 28 Case Study - Creating and Organizational AI Strategy

Lecture 29 Case Study - Addressing Organizational Cultural Issues

Lecture 30 Case Study - Instituting Data Governance

Lecture 31 Case Study - Successfully Integrating AI into Organizational Systems

Lecture 32 Case Study - Making AI Technology Operational in Organizations

Lecture 33 Case Study - Addressing Ethical Issues when Implementing AI in Organizations

Section 5: Organizational General Best Practices for AI Implementation

Lecture 34 Best Organizational Best Practices for AI Implementation

Lecture 35 Article: Examples: Best Organizational Best Practices for AI Implementation

Lecture 36 Conclusion

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