Remove software-product-development
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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. Company co-founder Adam Wenchel told TechCrunch it’s the largest round ever given to a machine learning monitoring startup.

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Swiss energy services company uses machine learning to see the future

CIO

It was imperative for IWB to assess the level of solar power production. If IWB hoped to fulfill its mission of helping to usher in a fully renewable future, an intelligent solution had to be developed to accurately predict solar power production. Without real-time power measurements, estimated power values were being used.

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Slai makes intelligent choices around machine learning setups for developers

TechCrunch

The situation for machine learning (ML) isn’t entirely dissimilar; unless ML is core to your software — and it probably isn’t — why would you waste time on assembling an entire infrastructure. To solve that precise issue, Slai is building a developer-first platform for machine learning.

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Weights & Biases raises $45M for its machine learning tools

TechCrunch

Weights & Biases , a startup building tools for machine learning practitioners, is announcing that it’s raised $45 million in Series B funding. Similarly, he said that as machine learning has been adopted by more widely, Weights & Biases is occasionally confronted by a “high-class problem.”

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How AI and ML Can Accelerate and Optimize Software Development and Testing

Speaker: Eran Kinsbruner, Best-Selling Author, TechBeacon Top 30 Test Automation Leader & the Chief Evangelist and Senior Director at Perforce Software

It's no secret that CTOs need to have a full understanding if they want to be successful, but does that make them responsible for developer productivity? While advancements in software development and testing have come a long way, there is still room for improvement.

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Explosion snags $6M on $120M valuation to expand machine learning platform

TechCrunch

Explosion , a company that has combined an open source machine learning library with a set of commercial developer tools, announced a $6 million Series A today on a $120 million valuation. In 2017, they added Prodigy , a commercial product for generating data for the machine learning model.

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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.