Friday, August 13, 2021

IoT Device Density in Hospitals Already Exceeds 10,000 Devices in 56% of Cases

There is a good reason why one of the design goals for 5G was vastly-increased ability to support huge device density. 5G was intended to support internet of things sensors that often would be deployed in huge numbers.


Consider present use of IoT devices in hospitals. A survey by Philips found that device populations can easily exceed 1000 to 10,000 devices at a single location. Some 56 percent of locations already have more than 10,000 devices in operation, up to 50,000 or more. 


4G networks can handle a maximum of about 100,000 devices per square kilometer (an area of about 0.46 miles). 5G is designed to handle a million devices per square kilometer. 


 

source: Cybermdx 


Monday, August 9, 2021

In Industrial Settings, It Might be Hard to Separate AR, AI, Edge Computing and 5G Value

Augmented reality is a touted potential benefit of edge computing. In fact, many enterprises had been using AR since at least 2018 for training applications. That suggests we could see many more such use cases in broader settings.


But AR also is easier for some use cases when IoT sensing also is available and edge computing also is available, showing the interplay of a complex of new technologies enabling value from IoT, edge computing, artificial intelligence and 5G (private and public), all interworking.


That might be true for organizations in industrial settings conducting remote diagnostics and adjustment. One study by Forrester Research of PTC’s “Vuforia” industrial AR system found return on investment in the form of 50-percent-reduced training time; 60-percent-faster document creation time and a reduction in overtime payments between 10 percent and 12 percent.


The usual caveats apply. It is not clear that any one innovation drives organization results by itself. We cannot tell whether firms that are "best in class" are better at most things, or whether a particular innovation produces the results change.


In other words, maybe "best" firms adopt new technologies more effectively, rather than new technologies producing better outcomes by themselves.

source: Forrester Research


Also, industrial AR often relies on a complex of new technologies, all introduced together: 5G, AI, AR and edge computing, for example. Observed results might be produced only when all are used together, and are gainfully producing measurable results in business operations.


In other words, IoT allows real-time or near-real-time data collection. Whether that is translated into dynamic process reconfiguration or integrated into other business functions is another issue.


As early as 2018, surveys of enterprises made by Aberdeen Group had found 72 percent  of “best-in-class” organizations already use internet of things sensors and systems to capture and share diagnostics data with off-site stakeholders.


Specifically, 67 percent of users of augmented reality technology use IoT specifically as a means to conduct remote repairs.


Those firms also used augmented reality. Researchers at Aberdeen Group found that AR-powered knowledge sharing is being employed by 25 percent of “best-in-class” firms.


AR-powered on-site guides were used by 31 percent of best-in-class organizations. Eventually, one might hope, AR will be used not only to train but to aid technicians in the process of making repairs, for example, especially remote repairs.

 source: Aberdeen Group, PTC


Aberdeen argues that AR is a tool to improve the quality and consistency of customer support, as well as reduce service technician turnover.


On average, organizations are seeing technician turnover of 31.5 percent, Aberdeen Group has found. To add to this problem, an increasing number of service technicians are contracted (an average of 26.4 percent), meaning less consistency in service delivery, and more short-term labor that needs to be quickly on-boarded and trained.


Organizations with higher-than-average turnover see a 14 percent lower first-time fix rate compared to firms with lower turnover (52 percent compared to 66 percent). 


High-turnover companies also see customer Organizations with higher-than-average turnover see a 14 percent lower first-time fix rate compared to firms with lower turnover. v3 3 retention at a mere 60 percent, compared to 72 percent for those with lower than-average turnover, Aberdeen Group researchers say. 


Thursday, August 5, 2021

Verizon Adds 3 More Cities to AWS Wavelength Service

Verizon has added its edge computing capabilities in Chicago, Houston and Phoenix, bringing to 13 the number of U.S. cities where the AWS Wavelength edge computing service is available. The new Wavelength zones mean Verizon 5G customers can access the AWS edge computing facilities using the Verizon 5G network.

source: AWS 


That typically is useful for applications requiring ultra-low latency.


Monday, August 2, 2021

Australia and New Zealand IoT Will be Led by Manufacturing Use Cases

 Internet of Things (IoT) spending in Australia and New Zealand (A/NZ) is forecast to surpass US$14.3 billion in 2021, delivering an annual growth rate of 10.4 percent, according to IDC researchers. 

Assuming the use cases remain roughly as they presently are, enterprise applications will be 90 percent of the IoT total. Manufacturing might represent 30 percent of IoT spending with utility and transportation uses at about 11 percent and nine percent of total IoT volume. 

source: IDC

Thursday, July 29, 2021

Edge Ecosystem Roles

The edge computing ecosystem offers opportunities for most participants in the cloud computing ecosystem, from devices to hyperscale cloud computing providers. Still, opportunities might be greatest for hyperscalers, tower companies and connectivity providers, ABI Research suggests. 



source: ABI Research

Saturday, July 17, 2021

AT&T Edge Computing Offered in Premises and "Nearby" Versions

AT&T says its edge computing strategy--built with Google Cloud--with feature multi-access edge computing that often will reside on an enterprise premises (stadiums, retail sites, factories) as well as off premises at AT&T or Google points of presence located somewhere in a metro area in major U.S. cities. 

source: Disruptive Analysis 


The former is known as AT&T Multi-access Edge Compute (MEC); the latter as AT&T Network Edge (ANE).


Friday, July 16, 2021

Cloud Computing has Upside for Banks, Also Brings Risk

Every technology choice carries some risk as well as reward. Cloud computing, for example, exposes banks to risk, as the available suppliers are few, implying switching costs and barriers. 


On the other hand, use of hyperscale computing facilities potentially can reduce infrastructure costs 30 percent to 50 percent, estimates the Bank of England. 


source: Bank of England 


Monday, July 12, 2021

Cloud Computing Sales Take 3 to 7 Months

The cloud computing sales journey can range from three months to more than seven months, says Spiceworks. 


Some 29 percent can make a decision within three months or fewer. About 27 percent make a decision in four to six months. In 32 percent of cases a decision takes seven months or longer. 

source: Spiceworks


As you would anticipate, decisions take longer at bigger firms. 


 

source: Spiceworks


In the vast majority of organizations (91 percent), there’s no single decision maker that exclusively owns the entire cloud buying process, a survey by Spiceworks finds.  


Instead, the purchase process is almost always a collaborative effort involving a group of key stakeholders that comprise the “buying collective.”


The median number of influencers involved in cloud purchase decisions:

  •   Three  — Small business

  •   Five — Medium businesses

  •   10 — Large businesses


An estimated 50 percent of workloads will run in the cloud by 2023, up from 40 percent in 2021, says Spiceworks. 


Sunday, July 4, 2021

Alibaba Grows Fastest,

Cloud computing, as with most other markets, has a small group of market share leaders: Amazon Web Services, Microsoft, Google and Alibaba. 

source: Canalys 


Stil, it never is easy to compare installed base or market share when suppliers count revenue and sales in different ways. That is a clear issue for cloud computing as a service. Microsoft’s installed base is inflated, when compared to other suppliers.

Azure revenue includes sales of the Windows operating system, productivity suites, Xbox, Surface and advertising. Also, keep in  mind that Azure cloud computing also includes server sales, not just “cloud computing as a service” revenues. 


The “intelligent cloud” segment of Azure represents only about 35 percent of total Azure revenue. Another third of Azure revenue comes from productivity suite revenues. Also, 32 percent of Azure revenue comes from operating systems, productivity suites, Xbox, Surface and advertising. 


I personally do not consider those revenue sources a “like to like” comparison with AWS cloud computing as a service revenues. Actual Azure cloud computing revenue. might be as low as $4 billion a quarter. The point is that any analysis of cloud computing market share based on Azure revenue is incorrect. 


Azure cloud computing might be only a bit larger than Google Cloud, which generated about $3.4 billion quarterly revenues recently. 


source: Canalys 


China spending on cloud services grew 55 percent in the first quarter of 2021, says Canalys, increasing spending 2.1 billion (€1.77 billion) over first quarter of 2020 levels and up $200 million (€168.13 million) sequentially.

U.S. cloud services spending grew 29 percent in the first quarter 2021 to $18.6 billion, up $621 million sequentially. 


source: Canalys 


In the fourth quarter of 2020,  global cloud services spending grew $10 billion. 

 

source: Canalys  




Edge Computing Segment Revenue Forecasts Vary Wildly

The edge computing market is a complicated mix of different products, ranging from servers and software to computing-as-a-service and other revenue sources such as colocation (real estate) and connectivity services (public and private). For that reason, analysts do not yet agree about the relative revenue contributions of edge computing segments. 


It is reasonable to assume that much of the revenue represents hardware and infrastructure sales. 

Others believe software, platforms and analytics will drive as much as 45 percent of edge computing revenue.  


source: Grandview Research 


But some also believe as much as 66 percent of service revenue will be captured by hyperscale computing-as-a-service suppliers.  


Globally, edge computing revenues were estimated to reach US$3.4 billion in 2020, reaching $15.2 billion by 2026, growing at a compound annual growth rate of 27.7 percent.  Hardware will represent as much as $8.8 billion by 2026, garnering 58 percent of total revenues, estimates Global Industry Analysts.


in the United States market is estimated at $1.6 Billion in 2021. China, the world's second largest economy, is forecast to reach a projected market size of $2.1 billion by about 2026, Global Industry Analysts also predicts. 


Japan and Canada, each forecast to grow at 24.2 percent and 28.1 percent respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 24.7 percent CAGR, according to Global Industry Analysts.


Friday, July 2, 2021

Multi-Access Edge Computing Could Shift Networking Choices

Multi-access edge computing could affect public and private networking choices, at least when enterprises look at use cases requiring high-performance, low-latency, high-availability and high device density performance. 


Traditionally, private networks have been preferred when enterprises want high isolation from public networks, plus full control and lower cost, higher-performance in-building networking. Some 50 years ago, the use case was support for personal computers and peripherals connected to servers and cabled networks were the platform. 


These days, Wi-Fi tends to dominate for general purpose computing requirements supporting devices of all types. Mobile phone support remains a mix of public network access for voice and messaging, while data access can use either Wi-Fi or the public network. 


5G plus multi-access edge computing allows new permutations. Some 66 percent of mobile operators polled by GSMA are looking to use their core assets to support private enterprise networks. Some 59 percent also believe they can use their public networks to do so, operating with service level agreements.


In all likelihood, quite a mix will emerge. 


source: GSMA