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The Internet of Things affords us the ability to connect our networks, applications, and devices in innovative ways – but the data we glean from IoT connections are only as valuable as the extent to which they enable us to make smart, timely, informed business decisions. Whether these decisions involve deploying service to EV charging stations, instigating lifesaving medical attention, or allocating the right amount of pickles to a restaurant location, these daily decisions impact revenue, churn, and every aspect of your organization. In this session, we’ll explore what it looks like to optimize your business with intelligent IoT. From robust data connectivity to comprehensive support and services, ensuring reliability and security at every level of your tech stack is essential. Fortunately, with the right considerations and partners, it’s now easier than ever. 
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We believe witht he right technology anything is possible. This is why Orion Innovations took on the challenge of building an accessory to aid a blind person in successfully navigating the NYC Marathon.
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The future of edge computing is serverless. In turn, Peer-to-Peer has come a long way since SETI and Napster—and it will lay the foundation for IoT. Peer-to-peer computing or networking is a distributed application architecture that partitions tasks, or workloads, between peers. Peers are equally privileged, equipotent participants in the application. Trying to force-fit Kubernetes is also not the way to operationalize edge computing. At EDJX, we are approaching a more sustainable solution – a new model that Kubernetes cannot fulfill – not taking a cloud native approach and trying to apply it to an edge model. This session will cover the introduction, application, and applicability to markets, and argue why serverless is the most impactful execution model.
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As data moves closer in part from the serverless approach, the edge is playing an emerging role unimagined even a few years ago. As the data center infrastructure model evolves, there is not only an expansion in architecture but vastly different requirements on the operation of these highly distributed models – which are often unmanned without on-site staff to address issues at a moment's notice. This shift has driven operational performance, diagnostics, and management of these ecosystems to software and IoT platforms that enable hundreds or thousands of locations to operate autonomously and be managed remotely. These ecosystems, paired with predictive analytics and flexible architectures, allow for comparable levels of service to 'boots on the ground' as in traditional architectures.
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IoT is redefining event-driven software, putting machines and devices capable of infinite scalability and efficiency in the place of human intervention. Computing in the era of IoT is moving out of the realm of the abstract – spreadsheets, mobile apps, websites and software-as-a-service platforms – and into the real world to power augmented reality, empower decision-making via AI and machine learning, operate cars and increase public safety. In turn, connected and autonomous systems require maximum tolerable latency that cannot be supported by current computing and network architectures. The path to decision-making AI and autonomy requires compute at the edge that will also transform IoT into operational efficiency. EDJX is transforming the current IoT landscape – characterized by point solutions, complexity and a fragmented vendor ecosystem – and in partnership with Austin, Texas-based Autonomy Institute launching the vehicle for this change: Public Infrastructure Network Node (PINN.)
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Taking the highlights and key learnings from each session, how do we put forward an overarching plan for operationalizing edge? This panel brings together the story of the technologies, processes and people cohesively and compellingly.
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