Software AG Unveils New IoT Capabilities with Latest Edition of Cumulocity Platform

Software AG Unveils New IoT Capabilities with Latest Edition of Cumulocity Platform

Software AG Unveils New IoT Capabilities with Latest Edition of Cumulocity Platform

Software AG today unveiled the latest version of its open, cloud-based Cumulocity IoT platform (Release 9), which builds on its powerful distributed architecture with additional edge processing capabilities.

Cumulocity IoT now includes enhanced high availability, multi-cluster deployment options, which strengthen its carrier-grade offering for Service Providers. Additional features include code-free integration of devices supporting Low Power WAN (LPWAN) technologies used for long-term low bandwidth remote monitoring, including Narrowband IoT (NB-IoT), Lightweight M2M (LWM2M), and Long Range (LoRa).

Software AG’s Cumulocity IoT, an IoT platform that operates across cloud, on premises and edge, provides enterprises and Service Providers with total freedom and choice in designing, building, deploying and evolving their IoT distributed deployments. Customers include Deutsche Telekom, Dürr, Gardner Denver, Octo Telematics, NTT Communications, Unlimit by Reliance Group, Zeiss and many more.

Powerful New Distributed Architecture and Edge Processing

The enhanced distributed architecture and edge processing in Cumulocity IoT (Release 9) brings new extensions to the platform that delivers operational autonomy for devices, advanced local data processing, reduced data flows and improved response time. Users can use the same dashboards, analytics models, integrations and applications when operating at the edge or in the cloud, while saving bandwidth and reducing costs and security concerns.

Edge extensions include: rapid, secure industrial fieldbus connections, data forwarding filters, analytics distribution management, centralized edge platform management, and easy integration; all of which provides users with comprehensive, automated control over their entire IoT solution architecture at scale.

Bernd Gross, Senior Vice President, IoT and Cloud, Software AG noted:

“Our new edge processing brings the power closer to the end user application, which means devices no longer need to constantly ‘call home’ to a centralized cloud infrastructure for instructions or analysis, but instead they are given the ability to accomplish these tasks on their own.”

“We are increasingly seeing designs of self contained devices, such as self-driving cars, drones, and other IoT devices, pushing cloud services out as more computing moves to the edge. As this becomes a more tangible possibility, companies need to aggregate data collected at the edge for real-time analysis and smart business insights.”

IoT Microservices & DevOps

Cumulocity IoT R9 includes an open, enhanced Microservices SDK (software development kit) and industrialized lifecycle support for Microservices and DevOps. This removes a common headache for developers and enables them to create robust, scalable Software-as-a-Service apps that are designed and built for a microservices architecture using Docker containers, deployed in the Cloud, or at the edge, and managed through automation. These Docker containers are fully isolated with resource quotas, centralized request authorization, tenant access, permission handling, and tenant associations.

Microservices-based apps, which are developed using Cumulocity IoT, can work on any deployment, scale elastically, are highly available and fault tolerant, and are easy to change. This ensures that enterprises and Service Providers can rapidly evolve and change their apps through a Continuous Delivery process.

IoT Platform-as-a-Service

Cumulocity IoT’s Enterprise Edition enables Service Providers to provide full IoT platforms to their enterprise customers. These IoT platforms are cloud services that can be white-labeled or self-branded, managed and maintained by the enterprise, and take full advantage of the same hyper-scalable, high-availability architecture of the hosting Service Provider’s platform.

With new virtual multi-tenancy and full data segregation, Service Providers can create and deploy unique, branded experiences for their customers automatically and quickly without a lengthy instance deployment or an increased service management overhead. Moreover, advanced administrative rights delegation and native multi-tenancy significantly increases the availability of self-serviceability for end-users.

Bernd Gross noted that this Cumulocity IoT release is jam-packed with additional, new features:
“We have included in this release numerous key features that support our new Microservices and IoT Platform-as-a-Service capabilities, including the ability to create dashboards automatically for individual or groups of devices with a full range of features and alerts. Also, we have significantly enhanced the Low Power WAN device integration with plug and play integration for Lightweight M2M, Narrowband IoT and LoRa devices.”

The post Software AG Unveils New IoT Capabilities with Latest Edition of Cumulocity Platform appeared first on IoT Business News.

IoT Business News

Kerlink Will Launch Latest Low Power IoT Reference Design at Embedded World

Kerlink Will Launch Latest Low Power IoT Reference Design at Embedded World

Kerlink Will Launch Latest Low Power IoT Reference Design  at Embedded World

Kerlink, a specialist and global leader in solutions dedicated to the Internet of Things (IoT), will release its latest Low Power IoT Reference Design during Embedded World in Nuremberg, Germany, Feb. 27-March 1.

Kerlink’s Low Power IoT Reference Design is a turnkey combination of electronics blueprint, performance benchmarks, recommended bill of material and best practices guidelines for designing antennas, batteries and connectors integration.

It also provides a benchmark device and test bed for directly testing and comparing prototypes, and simplifies and accelerates the design, development and production of devices based on LoRa® technology, while speeding time to market and reducing development costs.

This new reference design is part of Kerlink’s strategy to help OEMs, electronics device makers, device designers and service providers launch new connected products for the IoT using LoRa® technology. The company’s Advanced Services Business Unit is broadening Kerlink’s portfolio to offer value added solutions and services, on top of its existing IoT network infrastructure and operations offerings.

“Kerlink is one of the world’s largest suppliers of gateways, stations and other equipment for LoRaWAN™ IoT networks,” said Stéphane Dejean, the company’s chief marketing officer.

“These reference design leverage that expertise for LoRa® technology device designers and OEMs that want to put the IoT to work for their companies and their customers quickly and simply.”

Tekelek, a leading developer and manufacturer of telemetry products and solutions for gas-tank monitoring, and Maddalena, a leader in smart water metering, have used an early version of the reference design to create new devices for customers.

“Both companies have reported significantly reduced time to market with their new LoRaWAN™ devices and lower design and prototyping costs, while achieving complete compliance with the latest state-of-the-art specifications,” Dejean said.

Kerlink is launching the new reference design at Embedded World with Alpha-Omega Technology GmbH, a German company that specializes in international IoT hardware sales and consulting with a focus on wireless sensor networks using the LoRaWAN™ protocol. Kerlink will present its solutions and show demonstration during Embedded World on the booth shared with Alpha Omega located 3A-240.

The post Kerlink Will Launch Latest Low Power IoT Reference Design at Embedded World appeared first on IoT Business News.

IoT Business News

Elon Musk makes case for eschewing LIDAR as Tesla reports latest results

Elon Musk has said that LIDAR is a ‘crutch’ and affirmed that Tesla will not be planning to use the system going forward.

LIDAR, which stands for ‘light detection and ranging’, helps measure distance to a target by illuminating the target with pulsed laser light, and measuring the reflected pulses. While other companies are using the technology – it is a part of the alleged claims in the current Uber versus Waymo court case, for instance – Tesla will continue to only use cameras, radar, and ultrasonic sensors to create autonomous vehicles.

Musk was responding to an analyst question on an earnings call, asking whether competitors are missing anything in their software stack that enabled Tesla to not use LIDAR, and whether regulation would come into place regarding use of the technology.

“I think it’s pretty obvious that the road system is geared towards passive optical [image recognition],” said Musk, as transcribed by Seeking Alpha. “We have to solve passive optical image recognition extremely well in order to be able to drive in any given environment and the changing environment.

“At the point at which you have solved it extremely well, what is the point in having optical – meaning LIDAR – which cannot read signs,” he added. “In my view, it is a crutch that will drive companies to a local maximum that they will find very difficult to get out of.”

Regarding what the competition are doing, Musk added: “I find it quite puzzling that companies would choose to do an active proton system in the wrong wavelength. They’re going to have a whole bunch of expensive equipment, most of which makes the car expensive, ugly and unnecessary… and I think they will find themselves at a competitive disadvantage.”

The company issued its fourth quarter and full year update for 2017, with revenue of $ 11.8 billion (£8.5bn) for 2017, up 55% year over year from organic growth. Tesla added that it expected 2018 revenue growth to ‘significantly exceed’ 2017 growth.

The focus for a lot of the message was on the long-awaited Model 3 – in more ways than one. Tesla delivered 1,542 Model 3 vehicles in the final quarter of 2017, with a Business Insider article saying that ‘production is on track, but it’s still a complete mess.’

“The launch of Model 3 [the most recent model] is what Tesla had been building towards from day one,” the company said. “We incorporated all the learnings from the development and production of Roadster, Model S, and Model X to create the world’s first mass market electric vehicle that is priced on par with its gasoline-powered equivalents – even without incentives.

“Now we are ramping up production significantly, and as we look ahead in 2018, we are on the cusp of a step change in the world’s transition to sustainability.”

Not everyone believes in the work Tesla is doing, however. A recent study from Navigant Research assessed the better part of 20 companies developing automated driving systems and put Tesla at the bottom of the pile.

You can read the full Tesla financial report here.

Postscript: While the vast majority of the focus was on Tesla, analysts could not resist comment on Musk’s successful SpaceX launch earlier this week. One told Musk the launch was ‘probably the sickest thing I’ve ever seen in my life.’

iottechnews.com: Latest from the homepage

NVIDIA to power smart cities and self-driving cars with latest updates

NVIDIA’s platform for building artificial intelligence-based smart cities ‘Metropolis’ has been adopted by Alibaba and Huawei, which now includes the NVIDIA DeepStream software development kit (SDK) in general availability.

Both the Chinese tech giants have joined more than 50 of the world’s leading organisations that are already using the platform.

Metropolis is an edge-to-cloud video platform that includes tools, technologies and support to build smarter, faster AI-powered applications for everything from traffic and parking management to law enforcement and city services.

As NVIDIA says, the company will take the advantage of more than one billion video cameras that will be installed in the cities by 2020, which will help solve multiple problems. The DeepStream SDK simplifies the development of scalable intelligent video analytics powered by deep learning for AI cities and hyperscale data centres. It can also be used by developers to process, understand and categorise video frames in real-time and meet the most demanding throughput and latency requirements.

The company is planning to bring in more of the world’s best AI firms with a new partner programme designed to expedite the development of new products on the Metropolis platform.

In addition, NVIDIA is also investing $ 52 million in a Chinese self-driving start-up JingChi, along with a group of investors led by Qiming Venutre.

JingChi uses NVIDIA GPUs and NVIDIA DRIVE PX 2 to develop its autonomous cars. The investment will allow the start-up to quickly scale up its R&D teams in Beijing and Sunnyvale, California, strengthen the deployment of a fully Level 4 autonomous driving test fleet in China by the end of 2017. The NVIDIA DRIVE PX AI platform is important for developing and deploying deep learning capabilities for the company, and other autonomous vehicle projects currently running across the world.

Jeff Herbst, NVIDIA’s vice president of Business Development, said: “AI is reshaping the transportation industry and startups in China and around the world are playing a big part in that. JingChi is making impressive progress on its vision for harnessing deep learning for autonomous driving and we’re dedicated to supporting their important work.”

iottechnews.com: Latest from the homepage

Nest goes after Ring and home security players with latest updates

Nest, the Alphabet-owned smart home automation provider, has issued a variety of roadmap and product updates around home security.

Among the products, as part of an overall home security solution, is a secure alarm system, an outdoor security camera, as well as a video doorbell system.

The move is the “next phase” of Nest’s strategy to “create the thoughtful home,” in the words of CEO Marwan Fawaz. “Today we’re disrupting yet another product industry: home security,” he said in a statement. “By building product experiences our customers love, Nest has experienced more than 60% growth on devices shipped in recent years and continues to expand to millions of homes around the world.”

The company cites a survey from Nationwide in 2013 which found 43% of people who own alarm systems never arm them, and according to Matt Rogers, Nest founder and chief product officer, this served as inspiration to change the market in the same way Nest has tried to change the smart thermostat market.

Nest Secure is therefore marketed as the ‘first alarm system that is actually enjoyable to live with’, as the company puts it. Through a variety of different products, from Detect, a sensor that detects both motion and open or close movement, to Tag, a fob that will allow users to arm and disarm Secure without a passcode, the product aims to relate to different routines various members of the home will have.

With Nest Hello on the other hand, the target in the company’s sights appears to be Ring, the Santa Monica-based company which provides security cameras, accessories, and – of course – video doorbells. Nest Hello can “detect a person, then send an alert and a snapshot, even if that person doesn’t ring the bell,” the company said.

Pricing for the Nest Secure starter pack, including Nest Guard, two Nest Detects and two Nest Tags, will be at the recommended retail price of $ 499. You can read the full announcements here.

Picture credit: Nest

iottechnews.com: Latest from the homepage