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Most of world ‘smart’ by 2020

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Ericsson’s latest Mobility Report has revealed that by 2020 mobile technology will be commonplace, with smartphone subscriptions reaching 6.1 billion and with over 70% of the world’s population using smartphones.

The latest edition of the Ericsson Mobility Report shows that the total number of mobile subscriptions in Q1 2015 was around 910 million for all of Africa, including 21 million new subscriptions. The report further shows that, by 2020, advanced mobile technology will be commonplace around the globe: smartphone subscriptions will more than double, reaching 6.1 billion, 70% of the world’s population will be using smartphones, and 90 percent will be covered by mobile broadband networks.

The report, a comprehensive update on mobile trends, shows that growth in mature markets comes from an increasing number of devices per individual. In developing regions, it comes from a swell of new subscribers as smartphones become more affordable; almost 80% of smartphone subscriptions added by year-end 2020 will be from Asia Pacific, the Middle East, and Africa.

The reporter shows that in Sub-Saharan Africa, GSM/EDGE-only subscriptions will remain predominant up to 2020, due to the high number of lower income consumers using 2G-enabled handsets.

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With the continued rise of smartphones comes an accelerated growth in data usage: smartphone data is predicted to increase ten-fold by 2020, when 80 percent of all mobile data traffic will come from smartphones. Average monthly data usage per smartphone in North America will increase from 2.4 GB today to 14 GB by 2020.

Rima Qureshi, Senior Vice President, Chief Strategy Officer, Ericsson, says: ‘This immense growth in advanced mobile technology and data usage, driven by a surge in mobile connectivity and smartphone uptake, will makes today’s big data revolution feel like the arrival of a floppy disk. We see the potential for mass-scale transformation, bringing a wealth of opportunities for telecom operators and others to capture new revenue streams. But it also requires greater focus on cost efficient delivery and openness to new business models to compete and remain effective.’

An expanding range of applications and business models coupled with falling modem costs are key factors driving the growth of connected devices. Added to this, new use cases are emerging for both short and long range applications, leading to even stronger growth of connected devices moving forward. Ericsson’s forecast, outlined in the report, points to 26 billion connected devices by 2020, confirming we are well on the way to reaching the vision of 50 billion connected devices.

Each year until 2020, mobile video traffic will grow by a staggering 55 percent per year and will constitute around 60 percent of all mobile data traffic by the end of that period. Growth is largely driven by shifting user preferences towards video streaming services, and the increasing prevalence of video in online content including news, advertisements and social media.

When looking at data consumption in advanced mobile broadband markets, findings show a significant proportion of traffic is generated by a limited number of subscribers. These heavy data users represent 10 percent of total subscribers but generate 55 percent of total data traffic. Video is dominant among heavy users, who typically watch around one hour of video per day, which is 20 times more than the average user.

The Ericsson Mobility Report shares forecast data, analysis and insight into mobile traffic, subscriptions, and consumer behavior to provide insight into current traffic and market trends in today’s Networked Society.

Ericsson regularly performs traffic measurements in over 100 live networks in all major regions of the world. Detailed measurements are made in a selected number of commercial WCDMA/HSPA and LTE networks with the purpose of discovering different traffic patterns.

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Huawei Mate 20 unveils ‘higher intelligence’

The new Mate 20 series, launching in South Africa today, includes a 7.2″ handset, and promises improved AI.

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Huawei Consumer Business Group today launches the Huawei Mate 20 Series in South Africa.

The phones are powered by Huawei’s densest and highest performing system on chip (SoC) to date, the Kirin 980. Manufactured with the 7nm process, incorporating the Cortex-A76-based CPU and Mali-G76 GPU, the SoC offers improved performance and, according to Huawei, “an unprecedented smooth user experience”.

The new 40W Huawei SuperCharge, 15W Huawei Wireless Quick Charge, and large batteries work in tandem to provide users with improved battery life. A Matrix Camera System includes a  Leica Ultra Wide Angle Lens that lets users see both wider and closer, with a new macro distance capability. The camera system adopts a Four-Point Design that gives the device a distinct visual identity.

The Mate 20 Series is available in 6.53-inch, 6.39-inch and 7.2-inch sizes, across four devices: Huawei Mate 20, Mate 20 Pro, Mate 20 X and Porsche Design Huawei Mate 20 RS. They ship with the customisable Android P-based EMUI 9 operating system.

“Smartphones are an important entrance to the digital world,” said Richard Yu, CEO of Huawei Consumer BG, at the global launch in London last week. “The Huawei Mate 20 Series is designed to be the best ‘mate’ of consumers, accompanying and empowering them to enjoy a richer, more fulfilled life with their higher intelligence, unparalleled battery lives and powerful camera performance.”

The SoC fits 6.9 billion transistors within a die the size of a fingernail. Compared to Kirin 970, the latest chipset is equipped with a CPU that is claimed to be 75 percent more powerful, a GPU that is 46 percent more powerful and an NPU (neural processing unit) that is 226 percent more powerful. The efficiency of the components has also been elevated: the CPU is claimed to be 58 percent more efficient, the GPU 178 percent more efficient, and the NPU 182 percent more efficient. The Kirin 980 is the world’s first commercial SoC to use the Cortex-A76-based cores.

Huawei has designed a three-tier architecture that consists of two ultra-large cores, two large cores and four small cores. This allows the CPU to allocate the optimal amount of resources to heavy, medium and light tasks for greater efficiency, improving the performance of the SoC while enhancing battery life. The Kirin 980 is also the industry’s first SoC to be equipped with Dual-NPU, giving it higher On-Device AI processing capability to support AI applications.

Read more about the Mate 20 Pro’s connectivity, battery and camera on the next page. 

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How Quantum computing will change … everything?

Research labs, government agencies (NASA) and tech giants like Microsoft, IBM and Google are all focused on developing quantum theories first put forward in the 1970s. What’s more, a growing start-up quantum computing ecosystem is attracting hundreds of millions of investor dollars. Given this scenario, Forrester believes it is time for IT leaders to pay attention.

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“We expect CIOs in life sciences, energy, defence, and manufacturing to see a deluge of hype from vendors and the media in the coming months,” says Forrester’s Brian Hopkins, VP, principal analyst serving CIOs and lead author of a report: A First Look at Quantum Computing. “Financial services, supply-chain, and healthcare firms will feel some of this as well. We see a market emerging, media interest on the rise, and client interest trickling in. It’s time for CIOs to take notice.”

The Forrester report gives some practical applications for quantum computing which helps contextualise its potential: 

  • Security could massively benefit from quantum computing. Factoring very large integers could break RSA-encrypted data, but could also be used to protect systems against malicious attempts. 
  • Supply chain managers could use quantum computing to gather and act on price information using minute-by-minute fluctuations in supply and demand 
  • Robotics engineers could determine the best parameters to use in deep-learning models that recognise and react to objects in computer vision
  • Quantum computing could be used to discover revolutionary new molecules making use of the petabytes of data that studies are now producing. This would significantly benefit many organisations in the material and life sciences verticals – particularly those trying to create more cost-effective electric car batteries which still depend on expensive and rare materials. 

Continue reading to find out how Quantum computing differs.

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