Artificial Intelligence (AI) Implementation in Organizations
Artificial Intelligence (AI) Implementation in Organizations, available at $19.99, has an average rating of 4.55, with 37 lectures, based on 12 reviews, and has 62 subscribers.
You will learn about Understanding 2024/2025 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 This course is ideal for individuals who are Business and Technology Professionals or Artificial Intelligence Practitioners or ChatGPT Enthusiasts It is particularly useful for Business and Technology Professionals or Artificial Intelligence Practitioners or ChatGPT Enthusiasts.
Enroll now: Artificial Intelligence (AI) Implementation in Organizations
Summary
Title: Artificial Intelligence (AI) Implementation in Organizations
Price: $19.99
Average Rating: 4.55
Number of Lectures: 37
Number of Published Lectures: 37
Number of Curriculum Items: 37
Number of Published Curriculum Objects: 37
Original Price: $27.99
Quality Status: approved
Status: Live
What You Will Learn
- Understanding 2024/2025 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
Who Should Attend
- Business and Technology Professionals
- Artificial Intelligence Practitioners
- ChatGPT Enthusiasts
Target Audiences
- Business and Technology Professionals
- Artificial Intelligence Practitioners
- ChatGPT Enthusiasts
This course (based on 2024/2025 trends) 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!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Agenda
Chapter 2: Current State of Artificial Intelligence (AI) in Industry and Organizations
Lecture 1: Current Artificial Intelligence (AI) Trends
Lecture 2: Artificial Intelligence (AI) Use in Business and Organizations
Lecture 3: Overview of Artificial Intelligence (AI) Technologies and Use Cases
Chapter 3: Artificial Intelligence (AI) Implementation Challenges and Mitigation Strategies
Lecture 1: Introduction to AI Organizational Challenges
Lecture 2: AI Trustworthiness
Lecture 3: Article: AI Trustworthiness
Lecture 4: Organizational AI Strategy
Lecture 5: Article: Considerations in Organizational AI Strategy
Lecture 6: Identification of AI Related Use Cases
Lecture 7: Article: How Organizations Should Identify AI-Related Use Cases?
Lecture 8: Data Quality and Availability
Lecture 9: Article: Data Quality and Availability: Ensuring Reliable and Accessible Data
Lecture 10: Organizational Cultural Issues
Lecture 11: Article: Addressing Organizational Cultural Issues
Lecture 12: Data Governance
Lecture 13: Article: Data Governance
Lecture 14: Integrating AI into Organizational Systems
Lecture 15: Article: Integrating AI into Organizational Systems
Lecture 16: AI Technology Operational
Lecture 17: Article: How to make AI technology operational?
Lecture 18: Handling Ethical Issues
Lecture 19: Article: How to address and handle Ethical Issues?
Chapter 4: Case Studies: Artificial Intelligence (AI) Implementation
Lecture 1: Case Study – Enhancing AI Trustworthiness
Lecture 2: Case Study – Identifying AI Related Use Cases in Organizations
Lecture 3: Case Study – Enhancing Data Quality and Availability for AI Implementation
Lecture 4: Case Study – Creating and Organizational AI Strategy
Lecture 5: Case Study – Addressing Organizational Cultural Issues
Lecture 6: Case Study – Instituting Data Governance
Lecture 7: Case Study – Successfully Integrating AI into Organizational Systems
Lecture 8: Case Study – Making AI Technology Operational in Organizations
Lecture 9: Case Study – Addressing Ethical Issues when Implementing AI in Organizations
Chapter 5: Organizational General Best Practices for AI Implementation
Lecture 1: Best Organizational Best Practices for AI Implementation
Lecture 2: Article: Examples: Best Organizational Best Practices for AI Implementation
Lecture 3: Conclusion
Lecture 4: Bonus Lecture
Instructors
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CIO TechCentral
Cloud and Digital Training
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 2 votes
- 4 stars: 3 votes
- 5 stars: 7 votes
Frequently Asked Questions
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