Topic: Artificial Intelligence (AI) - Page 58

New generation of intelligent medical devices will use world’s most advanced AI platform with the goal of improving patient care
GE Healthcare is the first medical device company to use the NVIDIA GPU Cloud (NGC)
New Revolution Frontier CT, powered by NVIDIA, is two times faster for image processing, proving performance acceleration has begun

A Cisco study shows that people around the world are ready to work alongside virtual teammates. In fact, adding a virtual teammate just might make workers happier.†

At Supercomputing 2017 (SC17), Lenovo Data Center Group announced new initiatives designed to empower customers to embrace Artificial Intelligence (AI) and make it a true reality for their organizations to achieve augmented intelligence capabilities for increased productivity and transformative results.

New Einstein Prediction Builder and Einstein Bots enable admins of all skill levels to build and deploy custom AI models and bots with clicks, not code

New Aviso Sales Vision Gives Sales Leaders 360-Degree Insights and Visibility Into Sales Forecasts, Pipeline Health, and Sales Performance

New offerings make it easy for data scientists, developers, and IT departments to rapidly deploy and scale deep learning models

ABBYY, a global provider of intelligent capture solutions to improve business outcomes, announced the appointment of Anthony Macciola as Chief Innovation Officer. In this newly-created role, Macciola will drive innovation and lead the development of new product and service concepts as part of ABBYY’s market-focused vision and strategy.

New offerings designed to manage growing technical skills gap through unique expertise, intelligence, and automation

Box, a leader in cloud content management, announced†Box Skills†– a framework for applying state-of-the-art machine learning tools such as computer vision, video indexing, and sentiment analysis to content stored in Box. With Box Skills, enterprises will be able to uncover insights and reimagine business processes that have traditionally been too costly or impractical to digitize and automate.

Driving innovation in multi-cloud management, new solutions deliver on the needs and wants of modern IT teams

Distributed multi-cloud architectures require new management approach to secure data, avoid unforeseen expenses, and optimize performance

Next-generation multi-cloud management leverages AI to automate the detection and resolution of performance and availability bottlenecks