article thumbnail

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

Intercom, Inc.

When you reach senior level on an engineering track, you’re expected to be optimal in your hard skill set. Despite not having a formal education in engineering, Sarah landed a job as a developer in the French consultant Grand Manitou. Then, four years ago, in 2018, she got a job at Algolia as a software engineer.

article thumbnail

Intercom on Product: How ChatGPT changed everything

Intercom, Inc.

In a recent episode, our Director of Machine Learning, Fergal Reid , shed some light on the latest breakthroughs in neural network technology. OpenAI released their most recent machine learning system, AI system, and they released it very publicly, and it was ChatGPT. He told us things were starting to scale.

ChatGPT 279
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

391: Product VP of Wyze uses community for product innovation and you can too – with Steve McIrvin

Product Innovation Educators

We help external engineers understand the product requirements and user needs and rely on their expertise. For our core business like cameras, plugs, and bulbs, we’re investing in internal innovation, especially artificial intelligence. We’re pushing the boundaries of computer vision and machine learning.

article thumbnail

Generative AI in Your Business Strategy: From Concept to Reality

The Product Coalition

The AI Journey So Far The encouraging news is that most enterprises have already embarked on their artificial intelligence journey over the past decade years. For enterprises that view artificial intelligence as a cornerstone of their business strategy, the time to double down on generative AI adoption is now.

article thumbnail

Why Product Request SLAs Fail

Mironov Consulting

doesn’t change the fact that 275 of them will never make it into the product development queue. So each product manager will now spend 1120+ hours/week thoughtfully reviewing and prioritizing and responding to incoming requests.   And requesters really don’t just want any answer: they want a YES answer.

article thumbnail

Product Model, Service Models, and Investor Valuations

Mironov Consulting

 But when I do product due diligence for SaaS-focused PE/VC firms, it's the very first thing I look at.  Let’s IMHO, software product companies are fundamentally different from software services/outsourcing/custom development companies.  Said billable).  Building  A very big difference.

article thumbnail

What Does a Data Scientist Do?

PMLesson's Ace the PM Interview

Machine Learning & Statistical Modeling Wikimedia Commons A big part of being a data scientist is building and using machine learning models to better understand complex or multidimensional data sets. The skills necessary would primarily fall under high-level statistics and mathematics.