Prioritizing AI/ML Projects in Your Organization

As AI/ML becomes popular, every product/service organization is looking to add these capabilities to improve business outcomes. A number of such organizations embark too quickly on these projects, only to face various roadblocks and eventually fail. How do we plan, prioritize and prepare for AI/ML to maximize our potential for success?

Special thanks to FourthBrain for co-hosting the event with us!

How to participate in Q&A

Join our community on Discourse to post questions to our speakers and discuss with others.

– After logging in, go to the AI in the Real World category, and then the subcategory of Prioritizing AI/ML Project. Post your questions there or upvote others. https://community.deeplearning.ai/c/random-discussions/ai-int-the-real-world/prioritize-ai-ml-projects/262

– If you are new to Discourse, click here to sign up first: https://community.deeplearning.ai/invites/qGd2yfxaVp

– To participate, simply ask a question by creating a topic, upvote others’, or reply to posts!

Event agenda:

10 mins Presentation from Kumaran Ponnambalam, Principal Engineer – AI, Cisco Systems Inc. https://www.linkedin.com/in/kumaran-ponnambalam-961a344/
-Why should we prioritize AI/ML Projects?
-How do we generate innovative ideas?
-What criteria to consider while prioritizing Ideas?
-What roadblocks will we encounter?
-How do we measure success?

10 mins Presentation from Andrea Stefanucci, Head of Product Management, AI Research at J.P. Morgan https://www.linkedin.com/in/andrea-stefanucci-2964a44/
-Moving towards an AI-first mindset
-Long term vs. short term time horizon
-Experimentation thru test & learn
-Driving scale

20 mins fireside chat moderated by Greg Loughnane, Head of Product, FourthBrain

20 mins Q&A: taking live questions from our community on Discourse

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To learn more about FourthBrain, https://www.fourthbrain.ai/

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