AI is disrupting every aspect of business and daily life. Author Arthur C. Clarke famously said that “Any sufficiently advanced technology is indistinguishable from magic.” But artificial intelligence (AI) is not magic. It’s math and science, and it’s going to touch every aspect of our lives.
IBM AI Academy offers this course as part of its initiative to bring awareness at executive levels on the capabilities of AI. Led by IBM thought leaders, this course provides lessons and learnings that are appropriate for CXOs or line of business leaders.
The course will provide foundation level understanding of generative AI. You will learn about what generative AI is, how generative AI can create business value, the importance of AI trust and transparency, and how apply generative AI to key use cases like customer service and application modernization.
This is a short self-paced course where you hear from IBM's thought leaders. No prior AI background required.
Come join us in our effort to help you get started with AI adoption!
Generative AI for Executives and Business Leaders - Part 1
Overview
Syllabus
- Generative AI for Business Leaders: Overview
- This module will get you started with some key events in the history of artificial intelligence (AI). You will learn about the importance of generative AI to businesses and get introduced to different approaches to applying generative AI. You will also learn about foundation models and their benefits. This module will explore issues like AI hallucination, bias, and risk and learn how applying AI ethics and governance builds trust. You will have the opportunity to review the different ways to put AI to work in a business. You will gain insights on using generative AI to improve your service and delight your customers. Finally, delve into the use of AI in application modernization and some best practices to gain a competitive edge.
Taught by
IBM AI Academy
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Reviews
4.0 rating, based on 1 Class Central review
4.6 rating at Coursera based on 288 ratings
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Provides good insights for business leaders to implement Generative AI solutions.
Key lessons learned:
* Protect your data
* Transparency and trust are critical for AI success
* Make sure that your AI is implemented ethically
* Choose the right mode: embedded AI, APIs, or Platform models
* Choose the right evaluation metrics
* Understanding that one model doesn't have to rule them all
* Choose proven foundation models, and ensure that governance tools are in place
* Customer service and application modernisation are 2 business areas with huge potential for generative AI
