To be successful in deploying AI and ML to improve customer service, you need to work with various partners who have skills that are different from traditional IT resources. In this video, learn about the role of data scientists and feature engineers in making your project successful.
- You have your idea for a great new machine learning … or artificial intelligence application. … You have funding, you have your team, … you have a hypothesis … about what data the algorithm will use, … and you have your business requirements, … probably done in the form of user stories. … As the product owner, what are your next steps? … Fortunately, they've gotten easier. … Your IT partners probably use some variation … of an Agile development methodology, … which puts you and your needs … at the center of the project … and checks in with you on the progress they're making … in a series of what they likely call sprints. … This is a welcome change … for nearly any development program, … starting with AI and ML. … Why is it welcome? … Well, traditionally, software has been done … using a so-called waterfall approach. … This sounded great in theory. … You'd write your functional business requirements, … technical experts would do the design, … developers would code the design, … QA staff would test the code …
Author
David Kay
Released
2/21/2020Skill Level Intermediate
Duration
Views
-
Introduction
-
1. How AI and ML Are Revolutionizing Customer Service
-
2. Using AI- and ML-Powered Solutions
-
3. Innovating with Custom Applications
-
4. Bringing Your Ideas to Life
-
Conclusion
-
Putting things into action1m 42s
-
Take notes with your new membership!
Type in the entry box, then click Enter to save your note.
Press on any video thumbnail to jump immediately to the timecode shown.
Notes are saved with you account but can also be exported as plain text, MS Word, PDF, Google Doc, or Evernote.
Share this video
Embed this video
Video: Partnering with your engineers and data team to ensure success