ElectrifAi Announces Expansion of Machine Learning Model Offerings for Amazon SageMaker
PR87561
JERSEY CITY, New Jersey, Jan. 14, 2021 /PRNewswire=KYODO JBN/ --
--Delivering fast and reliable machine learning business solutions
ElectrifAi, one of the world's leading companies in practical artificial
intelligence (AI) and pre-built machine learning (ML) models, today announced
expanded offerings of pre-built and pre-structured ML models for Amazon
SageMaker, including models available from the Computer Vision and Image
Analytics collections. Amazon SageMaker is a ML service from Amazon Web
Services (AWS) that helps data scientists and developers to prepare, build,
train and deploy high-quality ML models quickly by bringing together a broad
set of capabilities purpose-built for ML.
Logo - https://mma.prnewswire.com/media/1321884/ElectrifAi_Logo.jpg
ElectrifAi has now published 58 machine learning models.
The new set of Computer Vision models can work on cameras, enabling new types
of applications, and solving novel sets of challenges. For instance, cameras
mounted to drones can be used to track people, vehicles and animals, even as
the camera and item of interest moves rapidly. Audio analytics capabilities can
also be added to enrich the overall solution.
Examples of ElectrifAi's Computer Vision use cases:
-- Smart bird (drone) for perimeter control
-- Smart body camera for law enforcement
-- Field-ready image-based skin condition identification
-- Enhanced workplace safety
-- Identification of a specific person in a crowd
-- Animal welfare maintenance for farms
The Image Analytics models can detect, segment, and annotate medical anomalies
with precision for Amazon SageMaker--allowing one to track the progress of a
disease or the success or failure of a treatment protocol. The model can also
identify a wide range of skin conditions almost instantly from a picture taken
on a regular smartphone.
Examples of ElectrifAi Image Analytics use cases:
-- Can be used at entry/exit points
-- Can be deployed anywhere with the aid of portable X-ray devices
-- Rapid tracking of individuals
-- Objective measurement of the effectiveness of treatment protocols over time
-- Can be used to help in visualizing internal anatomical features,
disease identifier markers or other respiratory conditions
"Computer Vision on the edge is emerging as a game-changer in AI. We're excited
about how these new models will quickly enable new applications," said Jim
McGowan, ElectrifAi's SVP of Cloud Partners and Head of Product. "These models
hide all of the complexity behind a straightforward interface, simplifying the
process of building all kinds of new tools."
The ML models in AWS Marketplace are available worldwide. Please click here
to access our pre-trained models and our associated services to help
accelerate ML adoption within your organization.
About ElectrifAi
ElectrifAi (https://c212.net/c/link/?t=0&l=en&o=3033462-1&h=624870133&u=https%3A%2F%2Felectrifai.net%2F&a=ElectrifAi )
is a global leader in business-ready machine learning models. ElectrifAi's
mission is to help organizations change the way they work through machine
learning: driving cost reduction as well as profit and performance improvement.
Founded in 2004, ElectrifAi boasts seasoned industry leadership, a global team
of domain experts, and a proven record of transforming structured and
unstructured data at scale. A large library of Ai-based products reaches across
business functions, data systems, and teams to drive superior results in record
time. ElectrifAi has approximately 200 data scientists, software engineers and
employees with a proven record of dealing with over 2,000 customer
implementations, mostly for Fortune 500 companies. At the heart of ElectrifAi's
mission is a commitment to making Ai and machine learning more understandable,
practical and profitable for businesses and industries across the globe.
ElectrifAi is headquartered in Jersey City, with offices located in Shanghai and New Delhi.
CONTACT: Mark Veverka, mveverka@sitrick.com, + 1-415-999-9634
SOURCE: ElectrifAi
本プレスリリースは発表元が入力した原稿をそのまま掲載しております。また、プレスリリースへのお問い合わせは発表元に直接お願いいたします。
このプレスリリースには、報道機関向けの情報があります。
プレス会員登録を行うと、広報担当者の連絡先や、イベント・記者会見の情報など、報道機関だけに公開する情報が閲覧できるようになります。