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AI and IoT are quite often seen as an end goal by the product team which is wrong, they are just a means to an end. If you’re clear on the job to be done then you can define how AI and IoT will help you meet this job to be done in an innovative way. At that stage, you can then identify a similar job to be done in other areas or industries and transform your solution into a platform. This will help you build a resilient business and a base for continuous innovation.

Join this webinar to learn from the experience of Gary Brandeleer and Tejas Sanghavi as they worked on delivering AI recommendations for parts to be consumed on-site by field technicians and helped on the delivery of a shared service in parallel.

Main Takeaways:
-AI is just a mean to an end, the end goal need to be extremely clear
-Prioritize project where you know you have the data – data access can be the most challenging piece of an AI project
-Build your solution for a use case but find ways to make it a shared service

Meet the Speaker: Gary Brandeleer

Gary is a Senior Product Director, currently working at Salesforce. He leads the Field Service Lightning one of the fastest-growing products in the company.

View Speaker’s Full Profile (https://bit.ly/3smQLf4)

Get the FREE Product Book here (https://bit.ly/2CMSqF1)

Product School is the global leader in Product Management training with a community of over one million product professionals. Our certificates are the most industry-recognized credentials by employers hiring product managers. All of our instructors are senior-level Product Managers working at top Silicon Valley companies including Google, Facebook, Netflix, Airbnb, PayPal, Uber, and Amazon.

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