SaaStr
MAY 19, 2020
One area to watch here is no doubt artificial intelligence, with numerous companies having taken it upon themselves to apply machine learning and deep learning to give themselves an edge in the industry. Challenge #1: How can I acquire data in order to train my health product’s machine learning model?
Intercom, Inc.
OCTOBER 13, 2020
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.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
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?” It’s all about artificial intelligence and machine learning.
Tom Tunguz
JUNE 5, 2023
These figures highlight three points: AI has become an essential product component for most software companies. Training, deploying, & optimizing machine learning models has historically required teams of dedicated researchers, production engineers, data collection & labeling teams. The last one is the most striking.
Tom Tunguz
JANUARY 17, 2019
Procore targets construction with their software and Veeva targets pharmaceuticals with their CRM. AI Agencies use machine learning to disrupt a market dominated by agencies. Often, these startups begin as software companies selling machine learning software into agencies.
Tom Tunguz
JANUARY 25, 2018
In SaaS, machine learning has become an essential component to many different products. Whether it’s automating responses to inbound sales queries, identifying expense reports for audit, or surfacing anomalies in data, machine learning improves workflow software. Why is this the case?
Tom Tunguz
JUNE 19, 2017
In software, we’ve moved from a world where a customer buys a piece of software to run on their own infrastructure, to a world where a customer pays a vendor to run software on the vendor’s infrastructure. With machine learning, we may see another evolution of this. Which is the right viewpoint?
Expert insights. Personalized for you.
353 
Let's personalize your content