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Snorkel AI scores $35M Series B to automate data labeling in machine learning

TechCrunch

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.

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5 machine learning essentials nontechnical leaders need to understand

TechCrunch

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.

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Tecton.ai nabs $35M Series B as it releases machine learning feature store

TechCrunch

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.

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Slack’s former head of machine learning wants to put AI in reach of every company

TechCrunch

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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Pinecone lands $10M seed for purpose-built machine learning database

TechCrunch

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.

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CatalyzeX grabs $1.64M seed to help developers find right machine learning model

TechCrunch

Machine learning is exploding, and so are the number of models out there for developers to choose from. While this could apply to any type of research, as a young startup, they are concentrating on machine learning, which is broadly applicable across fields. CatalyzeX search results page. Image Credits: CatalyzeX.

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Scaling AI talent: An AI apprenticeship model that works

CIO

Like any other hiring manager, we started with the traditional route of putting out a job description and trying to recruit. The hunch was that there were a lot of Singaporeans out there learning about data science, AI, machine learning and Python on their own. To do that, I needed to hire AI engineers. And why that role?