Intercom, Inc.
SEPTEMBER 9, 2022
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.
Mind the Product
AUGUST 4, 2020
Currently, there are thousands of products, apps, and services driven by machine learning (ML) that we use every day. As was reported by Crunchbase, in 2019 there were 8,705 companies and startups that rely on this technology. According to PWC’s research, it’s predicted that ML and AI technologies will contribute about $15.7
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
The Product Coalition
MAY 26, 2021
Artificial intelligence is the most suitable choice to succeed in all challenges in learning different things. AI technology in education develops your learning method properly. AI-powered learning techniques help teachers to examine the grasping power of learners. Students learn the theory at varied rates.
Mind the Product
AUGUST 19, 2019
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?
Piyanka Jain
JANUARY 8, 2025
Stop trying to look like an AI startup and start to be one instead. It seems like every startup these days is slapping .ai The AI TrendTrap A startup rebrands as [Something].ai Many startups today are not using AI to solve real problems, but theyre using it to signal that theyre cool, cutting-edge, and worth peoples money.
Intercom, Inc.
JUNE 22, 2018
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.
Product Innovation Educators
DECEMBER 16, 2024
Drawing from his 20+ years of technology experience and extensive research, Nishant shared insights about how these activities vary across different organizational contexts – from startups to enterprises, B2B to B2C, and Agile to Waterfall environments.
Expert insights. Personalized for you.
249 
Let's personalize your content