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.
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.
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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
MARCH 6, 2023
As machine learning becomes core to every product, engineering teams will restructure. In the past, the core engineering team & the data science/machine learning teams worked separately. The core engineering team ships the product & focuses on reliability.
Speaker: Judah Phillips, Co-CEO and Co-Founder, Product & Growth at Squark
In the 30 minute webinar, you’ll learn: How machine learning and augmented AI play a role in delivering your predictive results. What feature engineering means, how it's applied to your data, and what it does. What each model class is and how they're different from one another.
Tom Tunguz
JULY 30, 2020
There is a mega-trend underpinning the changes in data design philosophy and tooling: the rise of the data engineer. Data engineers are the people who move, shape, and transform data from the source to the tools that extract insight. We believe data engineers are the change agents in a decade-long process that will revolutionize data.
Tom Tunguz
JANUARY 12, 2021
The Art of Doing Science and Engineering is a curious book. Richard Hamming, the author, was a professor of science and engineering at the Naval Postgraduate School and researcher at Bell Labs. He knew quite a bit about science and engineering. ” Sap was a language built on top of assembly, which is machine language.
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