customer-data-machine-learning Blog Related Topics 
Tom Tunguz
JUNE 5, 2023
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. Even fully staffed, teams required years to develop models with reasonably accurate performance.
Tom Tunguz
DECEMBER 17, 2022
Machine learning models predict code, synthesize images, author blog posts reducing composition time by a factor of 2 or 3. Data companies continue to achieve astronomical growth. Data companies in the public markets continue to trade at premium multiples & record the fastest growth rates.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
SaaStr
OCTOBER 30, 2021
Gorgias is the leading contact center for e-commerce and it’s been a fun one to track at SaaS, from 1,000 to 3,000 to now 7,000 customers. Their CEO will join us at SaaSr Scale 2021 on December 15 to talk about using data to get to 10,000 SMB customers! 7 Tips to get 7,000 Customers.
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. How can you argue against data, after all? You can also rethink the data you already have with your product.
CustomerSuccessBox
SEPTEMBER 20, 2021
Over the last few years, we’ve seen a lot of growth in the Customer Success space, which means there’s now even more content out there on the web for you to research, consume and rely on. Let’s look at the top customer success blogs. As well as their actionable customer success platform they provide a widely respected blog.
SaaStr
DECEMBER 27, 2023
Alessio Artuffo, President and COO of Docebo , shares lessons learned, misconceptions, and what he would have done if he could do it all over again. 70% of customers are in the Enterprise and mid-market space, and 30% are SMBs. At Docebo, 65% of their customers use it both externally and internally. Let’s dive into it.
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.
Expert insights. Personalized for you.
257 
Let's personalize your content