For many industries, from transportation to utilities, manufacturing and more, field workers are pivotal to the success of business operations, the satisfaction of customers, and the growth of the bottom line.
Field workers are now at the forefront of digital transformation where artificial intelligence (AI), smart mobile devices, the Internet of Things (IoT) and business process management (BPM) technologies have created new opportunities to better streamline and transform traditional workflows and workforce management practices.
To better understand how these technologies are being applied and the impact they are having in the enterprise, Red Hat commissioned research firm Vanson Bourne to survey 300 IT decision makers from organisations in the U.S., Europe and Asia that employ a significant field workforce. The survey examined investment trends, current and future adoption patterns, use cases and implementation challenges.
According to the results, strong technology investment is expected by respondents with an average increase of 25% through November 2018, reflecting the importance of technology in transforming field service operations. Top business factors identified as influencing this investment include increasing field worker productivity (46%), streamlining or optimising field operations and processes (40%), and improving customer service (37%).
When we consider the current trends that are broadly driving conversations in the tech industry, AI is one of the leading topics. While still an emerging category—currently implemented by only 24% of respondents—we believe the technology has great potential across a variety of industries and use cases. It comes as little surprise that an additional 30% of respondents plan to implement AI in 2018, aligning with an average anticipated increase in investment of 26% for certain respondents over the same period.
The AI umbrella encompasses a number of specific technologies for those respondents that have either implemented already or plan to implement to address more specialised uses cases, including:
Predictive analytics (55%)
Machine learning (46%)
Chatbots or virtual digital assistance (45%)
Robotic Process Automation (44%)
Despite being more established technologies, mobile, BPM and IoT seem to defy their relative maturity in the market with respondents indicating double-digit growth across the board in both investment and implementations through November 2018. While 67% of respondents have already implemented mobile apps for field service operations, an additional 19% plan to implement new mobile apps, supported by a 20% average expected increase in investment by certain respondents.
The outlook for BPM and IoT is similar. Respondents expect implementations to grow from 61 to 81% for BPM and from 53 to 73% for IoT, fueled by 20 and 24% average expected increase in investment by certain respondents, respectively.
However, along with the appetite for technology investment and implementation growth, respondents are keenly aware of the technical challenges their organisations face in developing and implementing applications for field workforce management. Access to timely and relevant data is critical for field workers in remote locations, harsh environments, or areas of low network connectivity, as is the ability to protect that data as it flows between the field and back-end systems.
As a result, securing data access was the top challenge identified in the survey at 34%, followed by:
The pace […]
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Real-world applications for artificial intelligence are emerging in areas such as boosting the productivity of dispersed workforces. However, early adopters are still struggling to determine the return on initial AI investments, according to a pair of new vendor reports.
Red Hat released research this week indicating that AI deployments have yielded some tangible results in areas such as transportation and utilities that rely heavily on field workers. A separate forecast released Wednesday (Jan.17) by Narrative Science found growing enterprise adoption of AI technologies but little in the way of investment returns.
Chicago-based Narrative Science, which sells natural language generation technology, found that 61 percent of those companies it surveyed deployed AI technologies in 2017. Early deployments focused on business intelligence, finance and product management. “In 2018, the focus will be on ensuring enterprises get value from their AI investments,” company CEO Stuart Frankel noted in releasing the survey.
Early adopters are also encountering many of the hurdles associated with a “first mover” advantage. “More and more organizations are deploying AI-powered technologies, with goals such as improving worker productivity and enhancing the customer experience that are not only laudable, but achievable,” Narrative Science concluded. “A focus on realistic deployment timeframes and accurately measuring the effectiveness and [return on investment] of AI is critical to keeping the current momentum around the technology moving forward.”
Meanwhile, the Red Hat (NYSE: RHT) survey also found an uptick in AI deployments, with 30 percent of respondents planning to implement AI for “field service workers” this year. Other applications include predictive analytics, machine learning and robotics.
While issues such as securing data access and a lack of standards persist, Red Hat found that field workers are “now at the forefront of digital transformation where artificial intelligence, smart mobile devices, the Internet of Things (IoT) and business process management technologies have created new opportunities to better streamline and transform traditional workflows and workforce management practices.”
A predicted 25 percent increase in AI investment through November 2018 is seen transforming field service operations, Red Hat noted in a blog posted on Thursday (Jan. 18). Early movers cited increase field worker productivity (46 percent), streamlining field operations (40 percent) and improving customer service (37 percent) as the top business factors for investing in AI.
Along with a lack of standards, respondents said deployment challenges include keeping pace with technological change and integrating AI deployments with legacy systems. The survey notes that industry groups are focusing on standards and interoperability among IoT devices along with data security while improving integration technologies.
Earlier vendor surveys also have identified barriers to implementation ranging from a lack of IT infrastructure suited to AI applications to a lack AI expertise. For instance, a survey released last fall by data analytics vendor Teradata Corp. (NYSE: TDC) found that 30 percent of those it polled said greater investments would be required to expand AI deployments.
Despite the promise and pitfalls of AI—ranging from freeing workers from drudgery to displacing those same workers—early AI deployments appear to underscore the reality that the technology remains a solution in search of a problem.
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The rate of global urbanisation is growing exponentially. But while living in cities offers both social and economic opportunities, the rising costs of living are threatening to increase social inequality, slow down economic growth, and increase levels of crime.
Smart cities, and the technologies that underpin them, are hailed as a significant solution to this problem, and are set to reduce costs for governments, citizens and enterprises alike. In fact, a recent report published by ABI Research, in partnership with Chordant and CA Technologies, reveals smart city and IoT technologies have the potential to save governments, enterprises and citizens globally over $5 trillion (€4.09 trillion) by 2022, says Jim Nolan, executive vice president, Chordant at InterDigital.
Specifically, it is new sharing and service economy paradigms, and the “Internet of Things” along with artificial intelligence (AI) and automation, that will play a leading role in driving these cost savings.
Cutting costs for governments
Governments can benefit tremendously from the implementation of IoT technology and sharing economy business models in energy, water utilities, transportation, and crime and vandalism.
Energy savings is perhaps the first, and most obvious cost benefit of IoT and smart city technology. Turning street lights into smart, connected systems with intelligent on/off cycles, for example, could yield a 30% cost saving for governments.
When it comes to water utilities, advanced leak detection systems can drive direct cost savings by removing the need for manual inspection, while opportunity cost savings can be made through water waste management and waste prevention systems. These cost savings, in turn, help to reduce end-user prices.
Transportation is a major cost centre in government budgets, but adding smart technology such as electronic toll collection (ETC) vehicle to infrastructure (V2I) technology, as well as intelligent traffic light systems, can optimise the use of existing road capacity.
In regard to government services such as waste collection, mobile resource management (MRM) technology can dispatch, manage and monitor field workers, while the deployment of smart garbage bins can enable real-time, remote fill-level monitoring, and therefore the timely dispatch of garbage collection trucks. This isn’t a fantasy, they’re already in use in Dubai. This enables waste collection fleets to run more efficiently and results in fewer trucks on the road. In fact, this form of smart waste collection has the potential to reach cost savings of 30%.
Finally, AI-based automation for surveillance cameras, along with data optimisation, can reduce the costs associated with monitoring and analysing video footage in support of crime reduction. AI technology can also be used to complement surveillance cameras with crowd sourced intelligence such as data captured from social sites, as well as smartphone footage from citizens.
By taking advantage of these different technologies, city governments in mega cities (a metropolitan area with a total population in excess of ten million people) globally could save up $58 billion (€47.40 billion) annually.
Affordable services for citizens
Smart city technologies are not only key for driving cost savings for governments – they play just as important a role in reducing costs for citizens. After housing, mobility presents the second largest item in family […]
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Continental, Ericsson, Nissan, NTT DOCOMO, INC., OKI and Qualcomm Technologies, Inc., a subsidiary of Qualcomm Incorporated, announced plans to carry out their first Cellular Vehicle-to-Everything (C-V2X) trials in Japan. The objective is to validate and demonstrate the benefits of C-V2X using direct communication technology defined by the 3rd Generation Partnership Project (3GPP) in their Release 14 specifications. The trials are designed to show the enhanced range reliability and latency benefits of C-V2X direct communications operated in 5 GHz band.
Additionally, the C-V2X trials are designed to demonstrate the complementary benefits of network-based communications utilising LTE-Advanced (LTE-A). The trial results will help develop the ecosystem by providing inputs to the relevant stakeholders, including ITS-related organisations and government agencies, as we prepare for the connected car of the future and the industry’s evolutionary transition towards 5G New Radio (NR), the new global cellular standard being defined in 3GPP.
While complementing other Advanced Driver Assistance System (ADAS) sensors, such as radar, lidar, and camera systems, C-V2X provides non-line-of-sight (NLOS) low latency awareness with longer range and cloud capabilities, and designed to extend a vehicle’s ability to see, hear and communicate further down the road, even at blind intersections.
C-V2X radio technology is state-of-the-art cellular technology and is being validated for global deployments, and leverages the upper layer protocols developed by the automotive industry over years of research to support new advanced end-to-end use cases. C-V2X direct communications provide enhanced range and reliability without relying on cellular network assistance or coverage.
Preparation work is well underway with the trial expected to begin in 2018 and the use cases are designed to focus on Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I) and Vehicle-to-Pedestrian (V2P) direct communications, as well as Vehicle-to-Network (V2N) operations over cellular network-based wide area communications with cloud access.
For the field trials, Continental will utilise the Qualcomm C-V2X Reference Design, which features the Qualcomm 9150 C-V2X chipset with integrated Global Navigation Satellite System (GNSS) capability to build connected car systems and integrate the systems into Nissan vehicles. Nissan will perform V2X use case selection and develop test scenarios with key performance indicators (KPIs) for C-V2X technology validation.
OKI, one of the companies in ITS, will bring their expertise in roadside unit (RSU) infrastructure and applications to demonstrate V2I as a viable technology for advanced traffic applications by integrating the Qualcomm 9150 C-V2X chipset into their RSU.
Ericsson, as one of the companies in the technology and service for telecommunication, will join to the V2N use case discussion, considering a combination of direct communication and LTE-A network technologies. NTT DOCOMO will provide an LTE-A network and V2N applications to demonstrate the benefits of complementary use of network-based communications for a variety of advanced automotive informational safety use cases.
“Connecting vehicles is at the top of our agenda and with more than 20 years of competence in the development of telematics, over 30 million units shipped, and years of V2V safety product development culminating in available V2V communications offerings. We are ready to fully exploit the potential of cellular connectivity to provide advanced vehicle functionalities.”
“Along with Nissan, we […]
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Akita, an IoT device watchdog station raised approximately $700,000 crowdfunding on Kickstarter. With 7000 plus backers, the startup promises to provide instant privacy for connected products.
The device performs three core activities i.e. scans connected gadgets/devices, blocks compromised devices and notifies the users of known issues. Akita comes with full support and help desk monitoring powered by Axius.
This device connects to a LAN port on users’ home router (not inline). The startup describes the device working as follows:
Akita’s Kickstarter received significant backing (both in terms o the number of backers and funds raised from the campaign), though, it only aimed to raise $30,000 initially.
The rise in popularity of privacy and network security devices is understandable. A home network, with several connected devices, need robust protections. That’s where other startups like Dojo and F-Secure also promise to secure network traffic and identify rouge devices.
Readers might visit the Postscapes Connected Device Security guide to understand how other devices in the same niche work and how Akita stacks up against its competitors.
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Voice first interfaces are reinventing the way we engage with devices. Acapela Group, leading player in voice solutions for more than 30 years, is constantly creating new voices to better interact with users, whatever their age or skills, thanks to voices that adapt to the context. Voices that convey meaning, intent and emotions. Voices for […]
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In an effort to continue to grow their business in existing and new markets, DAZN – a live and on-demand sports streaming service – wanted a fast, low-maintenance way to enable their small data team to run predictive analytics and machine learning projects at scale.
The company wanted to find a way to allow data analysts who were not necessarily technical or experienced in machine learning to be able to contribute in meaningful ways to impactful data projects. Ultimately, they wanted to support an underlying data culture with advanced analytics and machine learning at the heart of the business.
Until recently, the sports entertainment industry was dominated by cable or satellite TV systems and companies; if a customer wanted to watch a particular sporting event, he had little or no choice in how to do so. Now that consumers are breaking free from traditional TV, they are increasingly turning to specialised services streaming exactly the content they’re looking for, whether live or on-demand. And while they are willing to pay for these services, it means that entertainment companies – in the absence of the a fore mentioned virtual monopoly of TV broadcasts – are held to increasingly higher standards when it comes to quality and offerings.
In other words, because customers can turn elsewhere, entertainment companies have had to up their game, so to speak. Today, that means bringing innovation by way of predictive analytics and machine learning to optimise every aspect of the business, from marketing to customer service to product offerings. To do this efficiently, they must also bring this innovation at scale, hiring fewer people to do more such that insights grow exponentially along with the amount of data being collected.
The need for Big Data with a small staff
DAZN knew that in order to accomplish their goals quickly, they would need technologies that were simple and in the cloud. They turned to Amazon Web Services (AWS) and Dataiku in combination for their simplicity in setup, connection, integration, and usability, and they got up and running in under one hour.
With AWS and Dataiku, the small data team built and now manages more than 30 models in parallel, all without needing to do any coding so that the processes are completely accessible to non-technical team members.
They use these models as the basis for a variety of critical processes throughout all areas of the business, specifically:
Content attribution to determine what fixtures are driving sales, enabling contextual information on key fixtures in each market.
Advanced customer segmentation to identify user behaviours, particularly regarding content and devices on which customers use the product.
Propensity modeling to identify customers that are likely to churn, enabling improved customer targeting for retention activities.
Survival analysis to understand customer stickiness, enabling calculation of expected revenues to understand customer return on investment.
Natural language processing on social networks for market research
Results of more effective team members = More data science
AWS and Dataiku have noticeably shifted the data culture at DAZN and have brought innovations in advanced analytics and machine learning into the spotlight throughout […]
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The quality of irrigation water, as well as the correct management of water resources, is essential for the productivity and efficiency of the crops. Controlling and analysing water before irrigating is crucial and its quality may vary significantly depending on the time of the year. So frequent measurements are recommended.
The Spanish company GMV has developed a water quality monitoring system based on Libelium technology. The nodes were installed at the “El Portal” irrigation dam, located on the Guadalete river where it passes through Jerez de la Frontera (Spain).
Location of Jerez de la Frontera
GMV, which was founded in 1984, has wide experience in hi-tech sectors with a growing order book in all five continents. It has experienced an important technology transfer along its trajectory and nowadays the company focuses its efforts on two business lines: transport and telecommunication sectors and applications of information technologies.
The regional government detected a high cost of maintenance of the old measurement equipments along with high costs of transport and possible inconsistencies due to manual handling of the tools.
“El Portal” irrigation dam at Jerez de la Frontera, Spain
The main goals of the project were to reduce the costs of measurement and data network management as well as to avoid manual processing that may lead to inaccuracy. In the same way, the electrical consumption of the previous equipment had a handicap to solve, together with the fact that this location usually suffers from frequent acts of vandalism against power lines, automatically ceasing the normal functioning of the monitoring system.
GMV and the regional government of Andalusia trusted Libelium technology to deploy this project to monitor different water quality parameters in an irrigation dam on the Guadalete river, close to Jerez de la Frontera.
Installation of the Waspmote Plug & Sense Smart Water sensors
Two measuring nodes Waspmote Plug & Sense! Smart Water were installed in the location to measure levels of temperature, pH, dissolved oxygen and conductivity every 30 minutes. Sigfox was the protocol chosen by GMV, with a view to enlarge the deployment in the future.
Waspmote Plug & Sense! Smart Water at “El Portal” dam
The data collected by the sensors is sent to the proprietary software SEMS (Smart Environment Monitor System), which allows monitoring of any kind of parameter, managing sensors, executing custom queries, managing users, reporting alarms and many other operations.
Diagram of GMV project
This platform gives the irrigators access to real-time information on water quality to help decision-making in aspects such as the opening and closing of gates or the hours when water quality is higher. Additionally, manual collection is not necessary anymore so access to the information is now easier and quicker.
GMV highlights the adaptability of the Waspmote wireless sensor platform to any need and any environment along to the interoperability and compatibility with Sigfox and the low electrical consumption, which were ideal for the challenge they had to face.
GMV SEMS dashboard for the Andalusian Government
This new water quality monitoring system meant savings of around 50% in development time. The company is currently carrying out a technical report to present the results obtained after controlling the deployment in terms of sensorisation cost savings.
The Andalusian government (Junta de Andalucía in […]
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The level of industry confidence in Wi-Fi investment is at its highest-ever, according to the Wireless Broadband Alliance’s Annual Industry Report for 2017. As the wireless industry becomes crucial to delivering high quality, high speed, low latency connectivity, the new global study has revealed that over 80% of those surveyed feel as or more confident than they did a year ago. And when looking at unlicensed spectrum more broadly, almost half (47%) feel more confident.
The report, compiled by Maravedis on behalf of the WBA, comes at a significant time for the wireless ecosystem. There is a growing consensus that the success of 5G, unlike previous generations of standards, will rely on the convergence of multiple Radio Access Technologies (RATs) in unlicensed, shared and licensed spectrum, with Wi-Fi playing the central role.
Developments in the latest Wi-Fi standards, including 802.11ax, will improve Wi-Fi performance and capabilities to support 5G use cases – including high density networks, extreme Mobile Broadband (eMBB) and aggregation of multiple frequencies, amongst others.
“Wireless use cases are expanding rapidly, enabled by new technologies and spectrum in the unlicensed and shared bands”, said Adlane Fellah, senior analyst, Maravedis. “These innovations are laying the foundations for the 5G era, in which Wi-Fi will play a central role.”
As industry attention moves toward monetising Wi-Fi, the study also highlights the drivers of additional traffic over the network, as well as use cases with initial revenue potential in different verticals. In this year’s survey, the services most important to monetisation strategies for 2018 according to respondents included location based services (37.5%), roaming (33%) and marketing analytics (almost 33%).
The three Wi-Fi use cases tipped to drive near term revenue potential include: extending internet access and media to a full smart home, richer and more efficient enterprise services driven by cloud managed networks and security, and expansion of the Wi-Fi roaming model.
The report also highlights the power of Wi-Fi, along with Low Power Wide Area Network (LPWAN) technologies, to provide a rapid and cost effective deployment of various Internet of Things (IoT) applications, including the deployment of smart cities. But interoperability between different technologies, independent certification of devices and equipment and collaboration between different city stakeholders were identified as areas that connected city ecosystems must urgently address.
The WBA’s Connected City Advisory Board produced the second version of its Blueprint in November 2017, which intends to help cities develop their plans to become smart and emphasises the need to bring together the complex value chain of city stakeholders.
Also uncovered in the report is the rising adoption of the WBA’s Next Generation Hotspot (NGH) to support seamless authentication and multi-RAT access. The survey found that NGH had crossed the chasm with 23% of respondents confirming its implementation, and 30% planning to by the end of the year.
“As Wi-Fi continues to evolve, enabled by new technologies, it has the ability to support new connected services and use cases in the 5G era across all segments including, Carriers & Service Providers, Connected Cities and Enterprise & Hospitality ecosystems”, said Shrikant […]
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Powercast Corporation, the provider of radio-frequency (RF)-based long-range power-over-distance wireless charging technology, announced that it will unveil at CES its FCC-approved (Part 15, FCC ID: YESTX91503) and ISED-approved (Canada IC: 8985A-TX91503) three-watt PowerSpot transmitter which works in the far field(up to 80 feet) for over-the-air charging of multiple devices – no charging mats or direct line of sight needed.
Powercast used the experience it gained powering industrial and commercial devices with its initial Powercaster® transmitter (FCC and ISED approved in 2010) to develop the new smaller, smarter and less expensive PowerSpot transmitter specifically for the consumer market. The PowerSpot is the industry’s first long-range, far-field, power-over-distance wireless recharging transmitter for consumer devices to gain FCC and ISED approval.
How Powercast’s patented remote wireless charging technology works
Creating a coverage area like Wi-Fi, a Powercast transmitter automatically charges enabled devices when within range. The transmitter uses the 915-MHz ISM band to send RF energy to a tiny Powercast receiver chip embedded in a device, which converts it to direct current (DC) to directly power or recharge that device’s batteries.
Powercast will begin production of its standalone PowerSpot charger now that it is FCC approved and is also offering a PowerSpot subassembly that consumer goods manufacturers can integrate into their own products.
Consider lamps, appliances, set-top boxes, gaming systems, computer monitors, furniture or vehicle dashboards that become “PowerSpots” able to charge multiple enabled devices around them.
Powercast is in discussions with several manufacturers, and has inked deals with two household names, since releasing a wireless power development kit in early 2017 containing the PowerSpot subassembly.
“Consumer electronics manufacturers can now confidently build our FCC-approved technology into their wireless charging ecosystems, and offer their customers convenient far-field charging where devices charge over the air from a power source without needing direct contact, like inductive charging requires, or near direct contact, like magnetic resonance requires,” said Powercast’s COO/CTO Charles Greene, Ph.D.
The company’s vision is to enable long-range, true wireless charging where consumers simply place all Powercast-enabled devices for charging within range of a PowerSpot in their home or a public place.
“Others might be talking RF power possibilities, but we have consistently delivered far-field wireless power solutions that work, safely and responsibly, under FCC and other global standards providing power up to 80 feet,” said Greene. “Our robust technology has capabilities beyond today’s permitted standards, so our product releases will evolve as regulations do.”
The PowerSpot creates an overnight charging zone of up to 80 feet free of wires or charging mats
Enabled devices charge when in range, but don’t need direct line of sight to the PowerSpot. Powercast expects up to 30 devices left in the zone on a countertop or desktop overnight can charge by morning, sharing the transmitter’s three-watt (EIRP) power output. Charging rates will vary with distance, type and power consumption of a device.
TX91503 – PowerSpot Transmitter
Power-hungry, heavily used devices like game controllers, smart watches, fitness bands, hearing aids, ear buds, or headphones charge best up to two feet away; keyboards and mice up to six feet away; TV […]
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