RALEIGH, NC, Oct 12, 2022 – EDJX, the pioneer in decentralized global serverless edge computing, today announced that it has formed a strategic partnership with Zeblok Computational to integrate the capabilities of the EDJX Platform with the Zeblok Ai-MicroCloud, a cloud-native, turnkey ML ops platform that enables businesses to deploy artificial intelligence (AI) applications easily and efficiently to thousands of edge locations at scale. The partnership will provide Zeblok customers access to the EDJX Platform capabilities utilizing EDJX compute, network, and storage resources. Zeblok's Ai-MicroCloud solves the problem of scaling at the edge, making it easy to deploy AI inferences to edge locations. Together the offering is a digital foundation for enterprises, cloud service providers, managed service providers, OEMs and ISVs to execute their AI strategies from Cloud-to-Edge for diverse use cases such as Smart Retail, Industry 4.0, Smart Cities, Smart Transportation and Logistics, and more. EDJX provides a decentralized Operating System EdjOS or the EDJX Platform that makes it possible for developers to build IoT, AI, and M2M applications and have the requisite computations executed as close as possible to the sources of data.

If you've ever played with Legos, you know the possibilities are endless. A few blocks can become a toy car. Add a few more and you've got a miniature house. Keep going and you've got an intricate city or life-size statue. The blocks themselves fit together in a near-infinite number of ways.

If an operating model defines how an organization positions people, process, and technology to deliver customer value, then companies with an AI-first operating model are those that prioritize the use of AI to weave more intelligence and automation into the firm's products, processes, and experiences. Data gathered from 100 global CIOs at the Metis Strategy Digital Symposium in July 2020 personifies the trend toward AI-first operating models: 66% of CIOs stated that they have teams focused on identifying AI use cases, conducting pilots and scaling those cases that improve outcomes. Of the CIOs who do not currently have resources focused on this, roughly 60% indicated it is on their roadmap. In our work with Fortune 500 companies, we have identified common characteristics among organizations that successfully navigate the shift to AI-first. Below are a series of smart first steps digital leaders can take to initiate, accelerate, or course correct their AI transformation.