GALILEO INTRODUCES MACHINE LEARNING PLATFORM FOR DATA DEBUGGING

Machine learning data intelligence firm, Galileo, is unveiling a data debugging tool for data scientists to accelerate the process of tackling unstructured data and offer efficient models for Natural Language Processing (NLP).

According to co-founder and Chief Executive Officer of Galileo, Vikram Chatterji, the establishment of Galileo was borne out the difficulties that data scientists had manually dealing with unstructured data. Thus, they decided to offer this free data debugging tool for ease of work.

“While data powers ML, debugging unstructured data is incredibly manual and time-intensive. My co-founders Atindriyo Sanyal, Yash Sheth and I noticed a complete absence of data focused tooling for unstructured data ML while at Apple, Google and Uber AI. We repeatedly heard the same from data science teams across the globe. This is why we started Galileo - to build ML unstructured data tooling. Today we are making Galileo available for free through the Galileo Community Edition for any data scientist to sign up and get the superpowers to fix their ML data instantly,” says Chatterji.

The company states that their platform highlights the identified mishaps with data presented and solves them. The outcome is a “high quality training dataset” that is provided in a short timeframe and can be used for intended purposes. The platform is set to be revealing at Demo Hour, a Galileo event that takes place on November 15 at 10:00 Pacific Time (17:00 GMT).

Various companies who have integrated the use of Artificial Intelligence (AI) and machine learning into their operations say the platform is time-efficient and purposeful for finding and correcting data faults.

“Galileo has enabled us to build a[n] NLP pipeline that instantly inspects training data and improves prediction quality, to assist human data curation across the entire ML lifecycle,” says Head of Machine Learning at Musixmatch, Loreto Parisi.

“Galileo is a very intuitive and powerful tool that helped us quickly curate a high-quality training dataset ready for the real world. Galileo has been clearly created by fellow data scientists for data scientists,” says Vice President of data science at MasterControl, Viktoria Rojkova.

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