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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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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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Algolia’s Sarah Dayan on what sets a staff plus engineer apart

Intercom, Inc.

Sarah Dayan is a staff engineer at Algolia , a “Search-as-a-Service” platform that helps developers build index and search capabilities into their own platforms through an API, and the host of two tech podcasts: Developer Experience and Entre Devs. Then, four years ago, in 2018, she got a job at Algolia as a software engineer.

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AI, Hype, And The Future Of Humanity | Rick Nucci, Guru | BoS USA 2018

Business of Software Conference

We’ve all seen movies about artificial intelligence getting smarter than us and overthrowing our stronghold to make us obsolete, but how close are we to total subordination, and is the fear of losing jobs to robots as real as we are led to believe? spring and when things are going bad it’s an AI winter.

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Reddit’s Nick Caldwell on engineering leadership

Intercom, Inc.

At Reddit, he led a team of 35 – none of whom knew how to manage other engineers. He had to quickly determine which team members displayed a potential for leadership and teach them the fundamentals of management so they could make new hires and scale – without ruining the culture. That project led to my first cross-functional team.

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Hypotheticals in Product Management Meetup: Abridged Transcript

BrainMates

In April 2018, Brainmates hosted a Product Talks Sydney Meetup based on the “hypotheticals” format popularised by Geoffrey Robertson. A bright and brave cross functional team of panellists were on hand to tackle an imagined (but realistic) Product Management scenario. The panellists were: Mark Cohen, CTO at Domain.

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Kevin Indig on searching for meaning and the meaning of search

Intercom, Inc.

In addition to this, our conversation also covers his time at Altassian and contrasts this with his G2 role, his thoughts on Google updates and how they impact his industry and his vision for the future of SEO. And I put together these horrible, bad websites – I’m lucky there’s no evidence of them anymore.