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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?” It’s all about artificial intelligence and machine learning.

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Machine learning isn?t as hard as it looks

Intercom, Inc.

It’s easy to believe that machine learning is hard. After all, you’re teaching machines that work in ones and zeros to reach their own conclusions about the world. Indeed, the majority of literature on machine learning is riddled with complex notation, formulae and superfluous language. Wikipedia (e.g.

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When Machine Learning Just Isn't Enough

Tom Tunguz

At SaaStr earlier this year, I spoke about the huge potential of machine learning in SaaS. During a recent interview , Salesforce Chief Scientist Richard Socher spoke about the importance of workflows. Only by nailing the workflow will a user grant you the time and permission to wow them with machine learning.

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Building a Sales Organization from 0 to 100 Sales Reps with Flock Safety’s CEO and VP Growth

SaaStr

The tech involves cameras and devices that detect evidence, decode it with machine learning and deliver it into the right hands. When Garrett interviewed Alex, his challenge was to hire 30 reps within the first 30 days. Do many, many interview rounds. It solves 30-40 crimes an hour nationwide.

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The Business Value of MLOps

As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models. It is based on interviews with MLOps user companies and several MLOps experts. Which organizational challenges affect MLOps implementations.

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Theory

Tom Tunguz

I study them, benchmark them, analyze them, interview their leaders to understand their mechanics & share what I’ve learned on this blog. Machine Learning as a Force Multiplier : There are four types of machine learning: classification, prediction, interpretation, & generation.

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Conversations with friends: 6 highlights from behind the mic

Intercom, Inc.

So, with that in mind I’d like to share a compilation of some of my favorite guests, hosts, and interviews from my time here. When we released Resolution Bot early last year, we recorded this fascinating conversation between our co-founder Ciaran Lee and our Director of Machine Learning, Fergal Reid.