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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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Arthur.ai machine learning monitoring gathers steam with $42M investment

TechCrunch

It’s widely understood that after machine learning models are deployed in production, the accuracy of the results can deteriorate over time. launched in 2019 with the goal of helping companies monitor their models to ensure they stayed true to their goals.

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Traceable AI nabs $60M to secure app APIs using machine learning

TechCrunch

The new capital values the company at more than $450 million post-money, and CEO Jyoti Bansal — who’s also the cofounder of BIG Labs and Unusual Ventures — says that it’ll be put toward product development, recruitment, and customer acquisition. Businesses need machine learning here. ”

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Henkel embraces gen AI as enabler and strategic disruptor

CIO

Like many incumbents in the consumer packaged goods (CPG) industry, Henkel was slow to embrace digital technologies, resulting in a widening disconnect between the 147-year-old company and the changing needs of its customers. Big CPG companies like Henkel can spend billions on trade promotion, so there’s a lot at stake in getting it right.

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Steps of the Machine Learning Life Cycle

Dzone - DevOps

If you’ve been thinking about machine learning in the last couple of years, you’re not the only one. It’s big business and can have a significant impact on the way companies perform, providing a much-needed competitive advantage. In addition, Netflix says it’s been able to save $1 billion by using machine learning.

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Artificial intelligence and machine learning adoption in European enterprise

O'Reilly Media - Ideas

How companies in Europe are preparing for and adopting AI and ML technologies. In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Machine Learning model lifecycle management.

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Highlights from the O’Reilly Artificial Intelligence Conference in London 2019

O'Reilly Media - Data

People from across the AI world came together in London for the Artificial Intelligence Conference. Ben Lorica and Roger Chen review how companies are building AI applications today. Watch “ The quest for high-quality data “ Machine learning challenges at LinkedIn: Spark, TensorFlow, and beyond.