ZEDEDA, the leader in edge management and orchestration, and Edge Impulse, the leading platform for building, refining and deploying machine learning models and algorithms to edge devices, announced a partnership providing end-to-end automation of AI model development, deployment and orchestrating at scale. By working together, ZEDEDA and Edge Impulse will ease the challenges of implementing AI within distributed environments by providing a secure, device-agnostic automated workflow, replacing today’s manual, time-intensive process.
“We’re witnessing firsthand the explosive growth of AI and data-driven initiatives throughout our customer base and have seen the challenges inherent in delivering and iterating these projects within remote and distributed environments,” said Said Ouissal, ZEDEDA’s CEO and founder. “Edge Impulse’s leadership in delivering edge AI models is a great complement to ZEDEDA’s expertise in orchestrating and securing edge applications and devices at scale, and I’m delighted to offer our customers a comprehensive solution to streamline and accelerate their AI transformation efforts.”
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Customers implementing AI at the edge must contend with a difficult, multi-step process often requiring both IT and OT involvement. With this joint effort, customers will be able to deploy their Edge Impulse AI models through the ZEDEDA Marketplace, packaged alongside other applications, with a secure, single-click process to fleets of devices. Automatic monitoring of models surfaces relevant information to the data pipeline for continuous model retraining. The expansive Edge Impulse and ZEDEDA ecosystems also provide a wide range of partner technologies that can further propel edge computing initiatives.
“We’re thrilled to partner with ZEDEDA to empower enterprise developers to unlock the full potential of edge AI. By leveraging ZEDEDA’s edge security and virtualization platform, we aim to simplify and accelerate the deployment, management and orchestration of intelligent applications closer to data sources,” said Zach Shelby, Edge Impulse’s CEO and co-founder. “This collaboration represents a significant step toward the widespread adoption of enterprise edge computing.”
The adoption of AI/ML at the edge is surging. Gartner predicts that by 2026, at least 50% of edge computing deployments will involve Machine Learning, up from 5% in 2022.* Gartner also predicts that by 2029, at least 60% of edge computing deployments will use composite AI (both predictive and generative AI [GenAI]), compared to less than 5% in 2023.
Source: Businesswire
