Artificial Inteligence Artificial Intelligence Machine Learning Recruiting 
TechCrunch
APRIL 7, 2021
One of the more tedious aspects of machine learning is providing a set of labels to teach the machine learning model what it needs to know. It also announced a new tool called Application Studio that provides a way to build common machine learning applications using templates and predefined components.
TechCrunch
MAY 10, 2022
Adam Oliner, co-founder and CEO of Graft used to run machine learning at Slack, where he helped build the company’s internal artificial intelligence infrastructure. With a small team, he could only build what he called a “miniature” solution in comparison to the web scale counterparts.
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N2Growth Blog
JANUARY 29, 2024
The advent of Artificial Intelligence has disrupted multiple sectors, and the executive search industry is no different. This revolutionary shift from traditional headhunting methods towards AI-driven practices has added a new and sophisticated dimension to the recruitment landscape.
TechCrunch
JANUARY 27, 2021
Pinecone , a new startup from the folks who helped launch Amazon SageMaker, has built a vector database that generates data in a specialized format to help build machine learning applications faster, something that was previously only accessible to the largest organizations. One way he is doing that is in the recruitment process.
TechCrunch
MARCH 31, 2021
We’re living in a phenomenal moment for machine learning (ML), what Sonali Sambhus , head of developer and ML platform at Square, describes as “the democratization of ML.” ML recruiting strategy. Recruiting for ML comes with several challenges. Snehal Kundalkar is the chief technology officer at Valence.
TechCrunch
DECEMBER 7, 2020
Tecton.ai , the startup founded by three former Uber engineers who wanted to bring the machine learning feature store idea to the masses, announced a $35 million Series B today, just seven months after announcing their $20 million Series A. “We help organizations put machine learning into production.
TechCrunch
NOVEMBER 16, 2021
Machine learning is exploding, and so are the number of models out there for developers to choose from. While Google can help, it’s not really designed as a model search engine. working on machine learning projects, where they saw the kinds of research challenges they are attempting to fix with CatalyzeX.
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