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520: The future of AI in product management – with Mike Todasco

Product Innovation Educators

Mike brings valuable insights about the revolutionary transformation of product development through artificial intelligence. Bio Mike Todasco is a former Senior Director of Innovation at PayPal and a current Visiting Fellow at the James Silberrad Brown Center for Artificial Intelligence at SDSU.

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Building Resolution Bot: How to apply machine learning in product development

Intercom, Inc.

We are at the start of a revolution in customer communication, powered by machine learning and artificial intelligence. So, modern machine learning opens up vast possibilities – but how do you harness this technology to make an actual customer-facing product? The cupcake approach to building bots.

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The new dawn of Machine Learning

Intercom, Inc.

GPT-3 can create human-like text on demand, and DALL-E, a machine learning model that generates images from text prompts, has exploded in popularity on social media, answering the world’s most pressing questions such as, “what would Darth Vader look like ice fishing?” Today, we have an interesting topic to discuss.

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5 Machine Learning Lessons for Product Managers

Mind the Product

Artificial intelligence (AI) is probably the biggest commercial opportunity in today’s economy. We all use AI or machine learning (ML)-driven products almost every day, and the number of these products will be growing exponentially over the next couple of years. What does it mean for us as product managers?

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How AI and ML Can Accelerate and Optimize Software Development and Testing

Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software

Though DevOps is a relatively new role, it’s one that allows visibility across the whole operation, making it important to senior tech positions. In this session, Eran Kinsbruner will cover recommended areas where artificial intelligence and machine learning can be leveraged.

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519: Product verification, most important of the 19 activities of product management – with Nishant Parikh

Product Innovation Educators

He emphasized the importance of role clarity and how the lack of it often leads to frustrated product managers leaving their positions. Its success relies heavily on the thoroughness of the preceding market research phase while setting the stage for subsequent product positioning and vision development.

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The Shopping Cart Abandonment Problem: How Machine Learning Can Help!

The Product Coalition

We need to know what are positive behaviours as shown by the users who buy the product and what are negative behaviours by users who abandon the cart. Applying machine learning to predict shopping abandonment Using anomaly detection to flag possible cart abandonment Some of the variables above are real time variables.