Business Implications of AI: Full course
- Offered byCoursera
Business Implications of AI: Full course at Coursera Overview
Duration | 6 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Business Implications of AI: Full course at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Beginner Level
- Approx. 6 hours to complete
- English Subtitles: English
Business Implications of AI: Full course at Coursera Course details
- In this course you will learn what Artificial Intelligence is, from a leaders point of view. How shall we, as leaders, understand it from a corporate strategy point of view? What is it and how can it be used? What are the crucial strategic decisions we have to make, and how to make them? What consequences can we expect if we decide on doing AI-projects and what kind of competences do we need? Where shall we start, and what could be a good second as well as third step? What implications for the organization can we expect? These are the questions answered in this course.
Business Implications of AI: Full course at Coursera Curriculum
AI and your business
Just your coffee pot
What it can and what it cannot...yet
Low pain, high gain
Where do we often find AI today...and why?
The new tech in town
Moving along this curve
AI and corporate strategy
The consequences of easy versus difficult
The first steps
Haven´t tried this one yet?
Getting up to speed fast
Neural Networks...from a business leader´s point of view
Patterns are worth something
Making a small thing bigger
Testing, testing...voice and AI
AI and business development
Your own "Mechanical Turk"
Rules and patterns
The next step
Recommendation engines
Before heading even further
Why now?
Don´t turn your cat into a monster
Pitfalls and people to involve
Software or hardware?
Piggy-backing, or not
Moore´s law is important for AI to become
Data washing in practice
The big things with AI getting into the public sphere
One of the big challenges of running an AI project
The back side of the front side
The next steps
AI and disruption then?
The expert on AI, consequences?and work processes
Let the hunt begin
More on AI and Disruption
Doing it IRL (In Real Life)?
AI and disruption ahead?
What is the overall reason?
Business Implications of AI: Full course at Coursera Admission Process
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