M+E Daily
AWS and SK Telecom Collaborate to Co-Develop Computer Vision AI Services
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This collaboration aims to make it easier and more cost effective for customers to build, use, and scale computer vision applications, which enhance productivity, maintain equipment, and improve facility safety.
Computer vision technology streamlines extraction, analysis, and classification of single image or a sequence of images to help organisations gain insights. For example, computer vision can help improve quality assurance and operational efficiencies in agriculture, such as aiding in metadata extraction and image classification to evaluate crop health, and in manufacturing to proactively identify when equipment needs to be serviced.
However, for most organisations, building processing systems that can identify and analyse relevant data points at scale can be costly and complex.
The new set of computer vision services will combine SK Telecom’s artificial intelligence (AI) models, trained on more than 10 years of anonymised video data, and AWS’s edge services, IoT, database, and storage capabilities. The combination gives organisations a secure and simple framework to build and develop their own tailored computer vision applications with the flexibility to process and analyse data at the edge, in the cloud, or on premises.
“We are delighted to collaborate with AWS to accelerate our pace toward becoming a global leader in AI,” said Ha Min-yong, chief development officer at SK Telecom. “By co-developing edge computer vision services that run on AWS, we can easily and quickly produce and deploy AI and machine learning-based applications to customers globally, helping them address their business needs and challenges.”
“The combination of SK Telecom’s extensive experience in AI, paired with the elasticity, scalability, and flexibility of AWS will help accelerate AI innovation for SK Telecom and their customers globally,” said Adolfo Hernandez, vice president and general manager of telecom industry at AWS. “Collaborations like this demonstrate how AWS can support communication service providers leverage their core expertise in new ways to deliver greater value to their customers.”
