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IoT needs fine planning

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IoT is heading for mainstream adoption, but CIOs must plan carefully as it moves to the edge of the network, and stay committed to mitigating privacy and security threats.

More and more companies are deploying Internet of Things (IoT) solutions to bridge the physical and digital worlds and create new growth opportunities. However, as recent breaches have shown, leaders must stay up to date with this constantly changing environment. Forrester’s latest study, Predictions 2018: IoT Moves from Experimentation to Business Scale,  lays out the C-level priorities for the year ahead.

According to the study, IoT will move beyond proof of concept and into mainstream adoption in 2018. Forrester predicts that 10% of marketers at B2C brands will scale initiatives beyond pilots to build more intimate customer relationships and experiences.

“To achieve optimum impact, CMOs should rely more on the insights of complex data sets from devices,” says Michele Pelino, Forrester principal analyst serving infrastructure and operations professionals.

“Smartphones will also play a key role in enabling these new connected customer experiences and marketers should extend their mobile-moment strategies to include new interfaces with smart home speakers or smartwatches.”

Despite the growing concern around the EU’s General Data Protection Regulation (GDPR), Forrester says that a 2018 European data economy directive will promote the exchange of data and insights. Early innovators will set the tone in the market and increased competition between EU and US companies will drive adoption.

In addition, voice-based services, which have until now, been dominated by smaller companies, we will see an increased adoption from larger enterprises. Pelino says that a combination of consumer adoption; advances in artificial intelligence, such as natural language understanding (NLU); AI chips in hardware; faster processors and wireless networks; and cheaper components is making high-quality voice control of devices a reality.

Taking the action to the edge

A key trend will be IoT infrastructure shifting towards the edge. The study notes that edge IoT devices are able to act locally, based on data they generate, as well as take advantage of the cloud for secure, scalable configuration, deployment, and management.

The importance of IoT platforms will also continue to grow this year as clients look for: low adoption costs; quick deployment for prototyping; global reach; and easy integration with low maintenance – all of which are making cloud-based options attractive.

Forrester predicts that,  as data volumes grow, developers will push processing and analysis of data to the edge of the network and onto gateways and devices in order to cut data ingestion costs and reduce network latency.

Security And Privacy Still Critical

Forrester says most firms still haven’t shown the required commitment to mitigating IoT-specific threats.

The firm believes many IoT devices and ecosystems are still vulnerable to attacks that could take systems offline, and cause “minor to significant disruptions (and potential loss of life) and/or data exfiltration”. The report goes further to say that,  in 2018, we’ll see more IoT-related attacks, both on devices and on the cloud backplane, as hackers look to breach systems and extract sensitive data.

Forrester warns organisations to have security professionals critically assess their systems, including default passwords, weak encryption implementations, and inadequate patching/remediation capabilities. The report also urges a thorough assessment of GDPR and other data protection compliance.

Blockchain will also begin impacting the performance of IoT technology as it gains traction. In fact, Forrester expects that the percentage of IoT cases using blockchain technologies will rise to over 5% among all IoT initiatives this year.

Pelino says that, while blockchain isn’t yet ready for large-scale deployments requiring reliability, stability, and seamless integration with existing technology infrastructure, companies should begin experimentation with the technology now in order to evaluate vendors against their firm’s IoT business scenarios.

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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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