ZEDEDA, a leader in edge management and orchestration, has partnered with Edge Impulse, a premier platform for building and deploying machine learning models to edge devices. This collaboration aims to provide end-to-end automation of AI model development, deployment, and orchestration, simplifying the implementation of AI within distributed environments.
Addressing AI Implementation Challenges
- Growing Demand for AI: The partnership comes in response to the rapid growth of AI and data-driven initiatives among customers, highlighting the challenges faced in delivering and iterating AI projects in remote and distributed settings.
- Streamlined Solution: By combining ZEDEDA’s expertise in orchestrating edge applications and securing devices with Edge Impulse’s leadership in edge AI model development, the partnership offers a comprehensive solution to accelerate AI transformation efforts.
Simplifying the AI Deployment Process
- Multi-Step Process: Traditionally, implementing AI at the edge has been a complex, multi-step process requiring collaboration between IT and operational technology (OT) teams.
- Joint Efforts: The collaboration allows customers to deploy Edge Impulse AI models via the ZEDEDA Marketplace, enabling a secure, single-click deployment process across fleets of devices. Continuous monitoring ensures models can be retrained based on relevant data.
Enhancing Edge Computing Initiatives
- Expansive Ecosystems: Both ZEDEDA and Edge Impulse offer a range of partner technologies that can enhance edge computing initiatives, providing customers with a robust framework for development and deployment.
- Comments from Leadership:
- Said Ouissal, CEO of ZEDEDA, stated, “Edge Impulse’s leadership in delivering edge AI models is a great complement to ZEDEDA’s expertise… I’m delighted to offer our customers a comprehensive solution.”
- Zach Shelby, CEO of Edge Impulse, added, “This collaboration represents a significant step toward the widespread adoption of enterprise edge computing.”
Market Trends and Future Predictions
- Surge in AI/ML Adoption: Gartner predicts a dramatic increase in AI/ML deployments at the edge, estimating that by 2026, at least 50% of edge computing deployments will involve machine learning, a significant rise from just 5% in 2022.
- Future of Composite AI: By 2029, Gartner forecasts that 60% of edge computing deployments will utilize composite AI, indicating a strong trend toward more sophisticated AI applications.
Upcoming Webinar
To learn more about this collaboration and its implications for the future of edge computing, ZEDEDA and Edge Impulse will discuss the partnership in an upcoming webinar. Interested individuals can sign up for more details.
