Country for PR: United Kingdom
Contributor: PR Newswire Europe
Saturday, January 04 2020 - 00:47
AsiaNet
QuEST Global to Launch Solution Accelerator for Development of AI Applications Using Deep Learning at CES 2020
LAS VEGAS and BANGALORE, India, Jan. 6, 2020 /PRNewswire-AsiaNet/ --

    -  Aims to automate the development process of computer vision applications 

    -  Improves productivity and efficiencies of Data Engineers, Data 
Scientists 
     and Data Analysts

LAS VEGAS and BANGALORE, India, Jan. 6, 2020 /PRNewswire/ -- QuEST Global, a 
global product engineering and lifecycle services company, will unveil a 
solution accelerator which will help to design, train, deploy and manage Deep 
Learning (DL) models for the development of computer vision applications at CES 
(https://www.quest-global.com/upcoming-events/ces-2020/)(Consumer Electronics 
Show) 2020. This solution that will be showcased at Booth# 1909, Westgate, will 
enable data scientists, data analysts and data engineers to develop deep 
learning based machine vision applications in a fast and efficient manner with 
minimum effort. It offers a simplified model creation process through a visual, 
menu driven interface, making development of deep learning solutions much 
easier and faster.

The solution developed by QuEST Global is specifically designed to automate key 
operations of model development workflow like data labelling, data augmentation 
and cross validation. Supported with intuitive dashboards, performance metrics 
and custom model creation capabilities, the tool provides easy re-training and 
deployment options for target devices. By automating and simplifying the AI 
development work flow, the solution accelerator will help data scientists, data 
engineers and data analysts achieve productivity improvement, and improve 
return on investment which in turn will help them to focus more on innovative 
methods for improving the accuracy and performance of the models.

Arun Pai(https://www.quest-global.com/leadership/arun-pai/), President - News 
Business Development, QuEST Global said, "At QuEST Global, our constant 
endeavor is to accelerate and develop innovative solutions for our customers 
across industries through latest technologies and tools. This accelerator for 
deep learning model development is one such robust solution which helps to 
achieve streamlined workflow for vision analytics within a shorter time period, 
adding value to customers across various industries."

QuEST Global has more than two decades of experience across the complete 
product development lifecycle, helping customers develop better products, 
establish new markets and improve efficiency and quality. Using next-generation 
technologies such as edge computing, artificial intelligence, deep learning, 
big data and predictive analytics, the company aims to help semiconductor, 
consumer electronics and computing industries accelerate their product 
development and innovation cycles and make operations more efficient for them. 
As a trusted thinking partner, the company is committed to enhance the end 
consumer experience, enable business outcomes and simplify the digital journey 
for its customers.

About QuEST Global

For more than 20 years, QuEST Global has aimed to be a trusted global product 
engineering and lifecycle services partner to many of the worlds' most 
recognized companies in the Aero Engines, Hi-Tech, Aerospace & Defense, 
Transportation (Auto and Rail), Power and Industrial, Oil & Gas and Medical 
Devices industries. With a global presence in 15 countries, 67 global delivery 
centers and 12,500+ personnel, QuEST Global believes that it is at the 
forefront of the convergence of the mechanical, electronics, software and 
digital engineering innovations to engineer solutions for a safer, cleaner 
world. QuEST Global's deep domain knowledge and digital expertise aim to help 
its clients accelerate product development and innovation cycles, create 
alternate revenue streams, enhance consumer experience and make manufacturing 
processes and operations more efficient.

Source: QuEST Global
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