Edge Impulse, a leading provider of edge machine learning development tools, announced it has joined the Amazon Web Services (AWS) Independent Software Vendor (ISV) Accelerate Program, a co-sell program for AWS. Partners that provides software solutions that run on or integrate with AWS. This will allow Edge Impulse to accelerate innovation in artificial intelligence (AI) at the edge and support the development of new solutions for businesses looking to leverage the power of machine learning.
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“We’ll be able to leverage AWS’s expertise in cloud computing and machine learning to accelerate innovation in AI at the edge and support businesses in developing powerful new applications.”
The AWS ISV Accelerate Program is designed to help emerging ISVs accelerate their growth on AWS by providing technical enablement, go-to-market support, and access to co-selling opportunities through the AWS Sales organization. By joining the program, Edge Impulse will have access to AWS technical and business resources, allowing the company to enhance its offerings, expand its customer base, and drive greater innovation in the embedded machine learning space.
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“We’re thrilled to join the AWS ISV Accelerate Program and bring our embedded machine learning development tools to even more customers,” said Zach Shelby, CEO of Edge Impulse. “We’ll be able to leverage AWS’s expertise in cloud computing and machine learning to accelerate innovation in AI at the edge and support businesses in developing powerful new applications.”
Edge Impulse’s platform provides enterprise teams with a comprehensive set of tools for building and deploying machine learning models on embedded devices. The platform simplifies the process of integrating machine learning into embedded systems, enabling developers to create intelligent devices with a wide range of capabilities. With the AWS ISV Accelerate Program, Edge Impulse will be able to offer its solutions to even more customers, helping them to develop innovative products and services that leverage the power of AI at the edge.
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