Inside Living on the Edge episode six, Jason and Dan discuss the diversity of edge computing, the reality of edge app development and why companies are beating on edge. Bonus Round: Use of AI and ML to bring Luke Skywalker to life for the Disney+ Mandalorian Season 2 finale.

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• Bringing Scale to the Edge with Multi-Access Edge Computing — While this telco-centric view is unlikely to change, other stakeholders often view edge computing differently (Figure 2). There are other bodies who are working to incubate a non-telco-centric vision of edge computing. The Linux Foundation’s LF Edge, the Industrial Internet Consortium, Open Compute Project, and the Open19 edge datacenter project are a few examples.
• The Reality of Edge Application Development — The edge exposes the need for a completely new development framework, replete with newer data management APIs and services, novel ways of invoking, slicing and stitching together artificial intelligence/ machine learning toolchains, and a new set of energy-efficient AI/ML algorithms for computer vision and natural language understanding (NLU). Operationally, to work over highly distributed environments, optimized workload scheduling across incredible heterogeneity in computing architectures, and the simplification of application development, deployment and lifecycle management needs to be enabled.
• Verizon virtualizes RAN with Samsung, Intel and Wind River — Virtualizing the RAN, like the virtualization work previously completed in the core of the network, decouples software and hardware functionality enabling the network to be built on general purpose hardware. Using Common Off-The-Shelf (COTS) hardware leads to greater flexibility and agility in the introduction of new products and services. Instead of adding or upgrading single-purpose hardware, the move to a cloud native, container-based virtualized architecture with standardized interfaces leads to greater flexibility, faster delivery of services, greater scalability, and improved cost efficiency in networks.
• TELUS: Improving connectivity through data-driven experiences — TELUS worked with Accenture and Google Cloud to optimize its data supply chain and empower its data scientists with the tools to constantly enhance customer journeys.
• AT&T marks first 5G connected car deal with GM — To access in-vehicle Wi-Fi data, GM owners have to enroll in a connected services data plan. Since 2014, GM said drivers across its brands have used more than 171 million GBs of data.
• Allot Telco Smart Trends Report, Q3 2021 — Although 80% of CSPs are allowed to prioritize during congestion, their real-time knowledge about congestion is limited to, at best, 44% of those surveyed - and it’s probably lower as only 1/3 are using automated, adaptive tools today.
• Why organizations are betting on edge computing — Edge-induced responsiveness can lead to significant business benefits. A majority of respondents tell us edge computing will help them reduce operating costs (57 percent) and automate workflows (56 percent) in the next five years (see Figure 2). Close to half expect edge capabilities to increase productivity (47 percent) and accelerate decision making (46 percent).