What’s the difference between good and great AI business projects? Most advice on building effective AI focuses on the data science and technical aspects of work.
These are of course crucial, but there’s now enough industry experience to start speculating on other characteristics of effective AI work for business.
Here are 7 traits I believe contribute to the business success of great AI work. Hopefully it’s food for thought on your aspirations for your own AI business projects.
Contents
- What is a Highly Effective AI Business Project?
- Habit 1: Business Team Members Who Understand AI Fundamentals
- Habit 2: Realistic Business Expectations from AI
- Habit 3: Asking and Answering the Right Business Questions
- Habit 4: Knowing the Value of AI Only Appears with Business Implementation
- Habit 5: Appreciating Effective AI Work Includes “Mistakes” and “Wasted” Effort
- Habit 6: Knowing Everyone Will Be A Little Unhappy with the Right Budget
- Habit 7: Demonstrating that Effective AI Work is an Ongoing Balancing Act
- 7 Habits of Highly Effective AI Teams: Takeaways
If you are a registered user, please login below to read the rest of this article.
If you’re not, registration is currently free – please click here.
Alternatively, please get in touch using the Contact Page.
If you’re not, registration is currently free – please click here.
Alternatively, please get in touch using the Contact Page.
Want to Learn More About Effective AI Business Projects?
You might find these articles useful