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.
Comments
Post a Comment