Why it’s too simplistic to view the edge as a destination

Deciding what and where the edge is

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All the information enterprises need to make informed, buying decisions. Case studies, Analyst Reports and expert industry coverage mapping the current tech for enterprise landscape.

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Is your intelligence on the edge?

Report: Edge computing will be critical for digital transformation

Technology enabled solutions are becoming ever more critical to the day-to-day operations of many enterprises. Among the most impactful technologies are artificial intelligence (AI), Internet of Things (IoT), cloud computing, and next generation communication technologies such as 5G. Edge computing may garner fewer headlines, but it is a key enabler for many solutions that utilise the emerging technologies listed above, writes Jim Morrish, a founding partner at Transforma Insights.

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5G and MEC encourage edge intelligence to become pervasive

Multi-access edge computing (MEC) is coming together with the low latency mmWave connectivity enabled by 5G to make intelligence at the edge a reality that truly enables bi-directional digital conversations and gives the potential for technologies such as digital twins to be operated effectively. Here, Dheeraj Remella, the chief product officer of VoltDB, tells George Malim, the managing editor of VanillaPlus, how the challenges associated with MEC are being addressed and why, for many, once they’ve looked over the edge, there will be no going back to centralised, remote architectures.

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Can it be safer on the edge?

Children are warned to stay away from the edge of cliffs, bridges, roads and rivers, but in computing, the edge is turning out to be one of the safer locations for hosting processing power and analysing data. Antony Savvas explores why this is the case, while also addressing the security concerns that do exist around edge computing and assessing how these are being resolved.

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Pandemic pressures organisations to push intelligence to the edge

Multi-access edge computing (MEC) has turned the corner from being seen as an interesting alternative to the hub and spoke architecture of cloud computing to being recognised as a vital technological enabler of low latency, connected intelligence. George Malim examines the latest analyst predictions for the technology’s increased uptake.

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Is your intelligence on the edge?


  • Editor's overview: Data lakes and streams give life to intelligence at the edge
  • Analyst report: Edge computing will be critical for digital transformation
  • Interview: 5G and MEC encourage edge intelligence to become pervasive
  • Low latency decisions: Why low latency is vital for edge success
  • Securing the edge: Can it be safer on the edge?
  • Edge analysis: Pandemic pressures organisations to push intelligence to the edge
  • Edge ROI: MEC proves the need for speed

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Latest IoT News

Why low latency is vital for edge success

5G, edge computing, digital transformation, digital twins, machine learning and AI appearing together looks like a buzzword bingo. But there is a rational connection between these topics and technologies, writes Dheeraj Remella, the chief product officer at VoltDB.

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MEC proves the need for speed

There are some very sensible, industrial strength cost justifications for installing multi-access edge computing (MEC) but sometimes attention can be diverted by more fanciful projections, writes Nick Booth.

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For CSPs, it’s time for data with destiny

Communications service providers (CSPs) have worked doggedly over the last two decades to prepare for a new, data-led mode of operation. The plumbing is now done but extracting actionable insights from data lakes and then trusting that for fundamental operational processes is the next giant step operators need to take, writes George Malim.

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Report: Why data-driven decision management is the differentiator for CSPs

Communications service providers (CSP) are surrounded by challenges from all directions, writes Robin Duke-Woolley, the chief executive of Beecham Research. Their central service offering has commoditised, growth is constrained by market saturation and they have no option but to invest billions in capex in the next generation of mobile technology. Against this unappealing background, they have to deliver great experiences or customers will walk.

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Data-driven decision making demands a holistic view

Communications service providers (CSPs) are now well aware of the power of the data they collect regarding their customers and see it as a key means to run their operations more efficiently, achieve compliance, improve customer experiences and ultimately enhance their profitability. The telecoms industry, however, is composed of a complex web of organisations created through mergers and acquisitions (M&A) and infrastructure that involves multiple generations of technology. This makes the process of enabling data-driven decision making multi-layered and encompasses cultural as well as technological challenges.

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