Machine Learning Tools Training 
TechCrunch
AUGUST 25, 2021
Meet Taktile , a new startup that is working on a machine learning platform for financial services companies. This isn’t the first company that wants to leverage machine learning for financial products. They could use that data to train new models and roll out machine learning applications.
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.
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CIO
OCTOBER 28, 2024
An AI-powered transcription tool widely used in the medical field, has been found to hallucinate text, posing potential risks to patient safety, according to a recent academic study. Although Whisper’s creators have claimed that the tool possesses “ human-level robustness and accuracy ,” multiple studies have shown otherwise.
TechCrunch
FEBRUARY 24, 2021
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. investment to build intelligent machine learning labeling platform. Today the company announced a $2.6 Aquarium aims to solve this issue.
CIO
NOVEMBER 14, 2024
It’s hard for any one person or a small team to thoroughly evaluate every tool or model. Data scientists and AI engineers have so many variables to consider across the machine learning (ML) lifecycle to prevent models from degrading over time. However, the road to AI victory can be bumpy.
CIO
MARCH 13, 2025
To help address the problem, he says, companies are doing a lot of outsourcing, depending on vendors and their client engagement engineers, or sending their own people to training programs. In the Randstad survey, for example, 35% of people have been offered AI training up from just 13% in last years survey.
CIO
NOVEMBER 27, 2024
Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.
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