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Aquarium scores $2.6M seed to refine machine learning model data

TechCrunch

Aquarium , a startup from two former Cruise employees, wants to help companies refine their machine learning model data more easily and move the models into production faster. One customer Sterblue offers a good example. investment to build intelligent machine learning labeling platform. The Aquarium team.

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List of Top 10 Machine Learning Examples in Real Life

Openxcell

But with technological progress, machines also evolved their competency to learn from experiences. This buzz about Artificial Intelligence and Machine Learning must have amused an average person. But knowingly or unknowingly, directly or indirectly, we are using Machine Learning in our real lives.

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Colorado AI legislation further complicates compliance equation

CIO

The bill does not limit AI’s definition to any specific area, such as generative AI, large language models (LLMs), or machine learning. Robert] Rodriguez on this important issue and will review the final language of the bill when it reaches his desk,” said Eric Maruyama, the governor’s deputy press secretary.

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Evolving from Rule-based Classifier: Machine Learning Powered Auto Remediation in Netflix Data…

Netflix Tech

Operational automation–including but not limited to, auto diagnosis, auto remediation, auto configuration, auto tuning, auto scaling, auto debugging, and auto testing–is key to the success of modern data platforms. Therefore, the operational cost increases linearly with the number of failed jobs.

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Why you should care about debugging machine learning models

O'Reilly Media - Data

For all the excitement about machine learning (ML), there are serious impediments to its widespread adoption. 1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. Model debugging is an emergent discipline focused on finding and fixing problems in ML systems.

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Heartex raises $25M for its AI-focused, open source data labeling platform

TechCrunch

Heartex, a startup that bills itself as an “open source” platform for data labeling, today announced that it landed $25 million in a Series A funding round led by Redpoint Ventures. We agreed that the only viable solution was to have internal teams with domain expertise be responsible for annotating and curating training data.

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Butter raises $7M to end ‘accidental’ customer churn due to payment failure

TechCrunch

It was there that he realized there was an astounding number of subscriptions that failed to renew or even go through to begin with due to payment-related issues. The accidental churn is often not just due to problems with renewals, where people get frustrated by failed attempts to charge their credit card, for example.