Driving AI Adoption as a Business Leader
1hGeneral2024-10-30
Authors

Vidhi Chugh
Course details
Businesses recognize the potential benefits of AI, but it isn’t always easy to know how to adopt it. The promise of increased efficiency, cost savings, and improved decision-making sounds alluring. But what’s the secret to long-term success? Instructor Vidhi Chugh highlights the factors that hold AI adoption back and provides practical insights to effectively integrate AI adoption into your everyday business processes. Ideal for organizational leaders and business managers of all backgrounds and levels of experience, by the end of this course, you’ll be prepared to leverage AI to streamline operations and accelerate business growth.
Learning objectives
Respond to current trends and levels of AI adoption across various industries and domains.
Explore common misconceptions and inflated expectations about AI capabilities and adopt strategies to address and mitigate associated risks.
Recognize the importance of AI-human collaboration.
Align AI strategies with business objectives and robust data strategies, ensuring organizational readiness and effective implementation.
Leverage in-demand, business-critical skills for AI development, integration, and maintenance.
Learning objectives
Respond to current trends and levels of AI adoption across various industries and domains.
Explore common misconceptions and inflated expectations about AI capabilities and adopt strategies to address and mitigate associated risks.
Recognize the importance of AI-human collaboration.
Align AI strategies with business objectives and robust data strategies, ensuring organizational readiness and effective implementation.
Leverage in-demand, business-critical skills for AI development, integration, and maintenance.
Skills covered
Artificial Intelligence for BusinessBusiness Analysis and StrategyOne-Off
Concepts
Introduction
- The current state of AI adoption
Why Is AI Adoption a Challenge
- Misaligned expectations on AI potential and its risks
- Shiny syndrome sabotaging priorities
- Organizational AI-readiness
Building an Effective AI and Data Strategy
- Prioritizing the right use of AI
- Data-centricity
- Executive support
Operationalizing AI Capabilities
- AI infrastructure
- AI integration into business
- A lifecycle approach to model maintenance
Building High-Performing AI Teams
- AI skills and talent
- Human-human collaboration
- Human-AI collaboration
Conclusion
- Making AI adoption a reality