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The Machine Learning and A.I. Product Innovation Cycle
Preliminary Information
Read This Before Starting
How to Get Your Certification
Machine Learning Product Innovation Cycle
Introduction (1:23)
Factors impacting an artificial intelligence product: an overview (13:38)
Interlude: How Managers Should Look at Data and Machine Learning Products (3:12)
Product Research an introduction Part-1 (13:30)
Interlude: The ingredients of an AI Product Research (3:02)
Product Research An Introduction Part-2 (7:34)
Interlude: How Managers Should Invest Resources To Create Business Value (3:09)
Product Research An Introduction Part-3 (12:02)
Interlude: Guidelines to Build AI Products That Work for Users. (2:42)
Interlude: Insights For Successful A.I. Product Development (3:30)
Design and implement a product incorporating machine intelligence Part-1 (15:38)
Interlude: How to Spot relevant Machine Learning Trends To Use In Your Products (3:38)
Design And Implement A Product Incorporating Machine Learning Part-2 (17:13)
Design and implement a product incorporating machine intelligence Part-3 (15:10)
Launching the new product (8:17)
Interlude: The Complexity Of Real A.I. Projects Implementation : A CTO View Point (3:29)
Product maintenance and improvement over time (8:10)
View Point: CTO View Point On Machine Learning and A.I. Trends (3:20)
View Point: AI Strategist On The Challenges of Real Implementations (2:34)
Section Slides (4:30)
What' s Next
Artificial Intelligence Product and Process Innovation (25:11)
Interlude: The Complexity Of Real A.I. Projects Implementation : A CTO View Point
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