Recent research has revealed that the need for natural, conversational interaction between humans and their devices is continually increasing as users rely on them more for daily tasks.
The need for natural, conversational interaction between humans and their devices is increasing as people rely on them for more daily tasks. ABI Research predicts that consumers who engage with voice functionality on a monthly basis will grow to more than one billion by 2021, an 80% compound annual growth rate.
“Smartphones are usually the first devices people think of in relation to voice input and recognition,” says Eric Abbruzzese, Senior Analyst at ABI Research. “But growth in smart glasses and smart home devices will fuel this trend going forward.”
Within enterprises, ABI Research predicts that natural language processing will prove particularly beneficial in use cases and verticals that demand hands-free functionality, such as in healthcare, oil and gas, factory floors, and construction. Enterprise voice adoption often requires customized dictionaries, applications, and tools. While the major players in voice recognition allow some APIs to extend into these domains, specialists such as Nuance Communications are developing industry-specific voice packages.
Consumer-wise, voice control and conversational interaction is a natural fit for both smart glasses and AR devices, as their primary purpose is to offer hands-free, efficient data display and interaction. Smart home devices like Amazon Echo and Google Home will drive consumer use cases, with growth in AI-powered personal assistants enabling natural and rewarding interaction.
Apple, Google, and Microsoft are the main players on the map, and for good reason—each company is pushing their voice platforms heavily, most recently with Google’s Home voice-powered smart home device. However, it is Amazon that is on ABI Research’s radar. With involvement in automotive through their voice technology, and rapid movement in sales of its voice-supported Echo and Fire devices, Amazon has the potential to see great growth if it capitalizes on its current momentum.
“Conversational interaction is receiving investment as the next frontier for consumer control, beyond search and social,” concludes Sam Rosen, Managing Director and Vice President at ABI Research. “Development of artificial intelligence and transactional commerce will enable conversations such as ordering a pizza or using a virtual travel agent. We expect this to drive the next wave of digital monetization of the service world.”
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.
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.
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.
“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.