Artificial Intelligence (Ai) Implementation In Organizations

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
Business and Technology Professionals,Artificial Intelligence Practitioners,ChatGPT Enthusiasts

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