In addition, it analysed the companies using over 100 other criteria and 34 in-depth customer interviews spanning 11 countries and 10 industries.
Published: 11th March 2019 02:10 PM | Last Updated: 11th March 2019 02:10 PM
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File Photo of Wipro Company. | File Photo
By ANI
BENGALURU: IT major Wipro Limited has been recognised as a leader in the IDC MarketScape, which evaluated 16 service providers on their services and delivery capabilities across DevOps disciplines.
In addition, it analysed the companies using over 100 other criteria and 34 in-depth customer interviews spanning 11 countries and 10 industries.
“In IDC's evaluation, Wipro demonstrated strong capabilities in terms of its DevOps services offerings, delivery model and scalability,” said the report.
Phil Dunmore, Vice President and Global Head, Consulting, Wipro Limited said findings of the report show that a large number of companies are embracing DevOps on a large scale, and increasingly rely on companies like Wipro to drive digital transformation with DevOps as a critical enabler.
"In the face of aggressive competition, the big asks from our clients are how to strengthen customer loyalty, create new sources of value, drive organisational efficiency, and disrupt the market with new business models," he said.
Qyresearchreports include new market research report “Global Emerging Biometric Technologies Market Size, Status and Forecast 2025” to its huge collection of research reports.
This report studies the global Emerging Biometric Technologies market size, industry status and forecast, competition landscape and growth opportunity. This research report categorizes the global Emerging Biometric Technologies market by companies, region, type and end-use industry.
The report here assembles the various perspectives to be considered as to the global Emerging Biometric Technologies market which depicts the recent data and upcoming expectations with reference to the advancing powers at play. The prime reason behind the investigation is to offer the perusers with an expansive details and make accessible the required materials and records. The quantifiable and examined clarifications for the investigation, other than illustrating data on factors, for example, drivers, limitations, and projections so as guess the total outcome of the global Emerging Biometric Technologies market over the said period in the report. It furthermore gives a brief and top to bottom examination of the predefined showcase, which gathers some present scenario of the business which are at risk to trigger an adjustment in the market or may cause any negative after-effect.
Get Research Summary of the Report: https://www.qyresearchreports.com/sample/sample.php?rep_id=1865304&type=S
Biometrics is the assessment of physical and behavioral characteristics such as fingerprints, voice, facial patterns, movement of hands, odor, iris, etc.
The biggest market application for emerging biometric technologies will most likely be in document verification and authorization. In 2017, the global Emerging Biometric Technologies market size was xx million US$ and it is expected to reach xx million US$ by the end of 2025, with a CAGR of xx% during 2018-2025.
This report focuses on the global top players, covered 3M Cogent Aware Bio-Key International Cognitec Systems Cross Match Technologies Daon Facebanx Fujitsu Fulcrum Biometrics NEC Precise Biometrics Safran Secunet Security Networks Thales
Market segment by Regions/Countries, this report covers United States Europe China Japan Southeast Asia India
Market segment by Type, the product can be split into Fingerprint Recognition Technologies Automated Fingerprint Identification System (Afis)/Live-Scan Technologies Facial Recognition Technology Iris Recognition Technology Vein Recognition Technology Voice/Speech Recognition Technology Hand Geometry Technology Signature Recognition Technology
Market segment by Application, split into Mobile Biometrics Market Payment Using Mobile Biometrics Banking Using Mobile Biometrics Physical Access Control Using Mobile Biometrics Law Enforcement Using Mobile Biometrics Disaster Response Using Mobile Biometrics
The study objectives of this report are:
To study and forecast the market size of Emerging Biometric Technologies in global market. To analyze the global key players, SWOT analysis, value and global market share for top players. To define, describe and forecast the market by type, end use and region. To analyze and compare the market status and forecast between China and major regions, namely, United States, Europe, China, Japan, Southeast Asia, India and Rest of World. To analyze the global key regions market potential and advantage, opportunity and challenge, restraints and risks. To identify significant trends and factors driving or inhibiting the market growth. To analyze the opportunities in the market for stakeholders by identifying the high growth segments. To strategically analyze each submarket with respect to individual growth trend and their contribution to the market To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market To strategically profile the key players and comprehensively analyze their growth strategies.
In this study, the years considered to estimate the market size of Emerging Biometric Technologies are as follows: History Year: 2013-2017 Base Year: 2017 Estimated Year: 2018 Forecast Year 2018 to 2025
For the data information by region, company, type and application, 2017 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
Key Stakeholders
Emerging Biometric Technologies Manufacturers Emerging Biometric Technologies Distributors/Traders/Wholesalers Emerging Biometric Technologies Subcomponent Manufacturers Industry Association Downstream Vendors
Regional and country-level analysis of the Emerging Biometric Technologies market, by end-use. Detailed analysis and profiles of additional market players.
Although the current working population is tech-savvy and comprises quick learners, they still require indepth training to develop new skill-sets and, thus, adapt to be prepared for the work culture of tomorrow
The future of work or the jobs of tomorrow is one of the most common topics of discussion among today’s crowd. The traditional working culture is rapidly reshaping with automation taking charge. No doubt, these innovations will enhance the key processes of a business, and thus deliver customer satisfaction; these advances also raise an interesting question: is our workforce geared up for that shift? Organisations, therefore, must go for an agile approach to learning, which is the need of the hour in today’s job scenario.
MINT/FILE■ Automation may be the future but human presence will still be required in some jobs
Although the current working population is tech-savvy and comprises quick learners, they still require in-depth training to develop new skill-sets and, thus, adapt to the evolving work culture. Today, when we hear innovations like AI, big data or analytics, we do not fear about job losses but instead feel proud to use them, mostly for entertainment purposes. What we are witnessing today, especially through our smartphones, are the smallest forms of innovations. The “big” is still lying around the corner.
We are not aware of how these advances will dominate the future jobs, and those who fail to adapt will see their own fall. However, instead of considering it a threat, companies should nurture the existing skills of their employees and help them become masters of using these technologies. That’s how companies can make the best use of groundbreaking technologies and help their employees deliver better results.
CHALLENGES
If we think a tad deeper, it will be much easier to understand the root cause of the problem. Yes, it originates from the good old education system, which unfortunately has become obsolete, and urgently needs an overhaul. The gap between the industry requirements and offerings made by academic institutions has further widened. While 43 per cent of businesses annually revise/ update their learning models, 71 per cent of Higher Education Institutions (HEIS) work at the speed of a snail. They update their curriculum in every two to six years. Also, inadequate preparation of students in the job area combined with insufficient industry-academia interactions has significantly added to the skill gap. These initiatives are crucial in the current scenario to help students in understanding future jobs, and the skills required to excel.
INCREASING UNEMPLOYMENT RATE
A report by Accenture titled ‘Fuelling India’s Skill Revolution’ says that India,over the next decade, could have secured a $1.97 trillion worth of GDP growth by investing in intelligent technologies. But currently, 65-75% of the country’s youth entering the workforce are jobless due to the paucity of talent. This needs urgent attention. Both companies and educational institutions should go for predictive and agile approaches to identify skills and introduce curricula changes, respectively. They should understand that the current workforce needs to switch from “what to learn” to “how to learn”.
HARSH REALITY
A large number of IT professionals who signed up for higher studies or skill-augmentation courses were found to leave in the mid ofthese courses in between. And, when it comes to employees, many were put back on the same team, doing the same work, which they were already doing. If the skill upgrades are not utilised properly, how are we even expecting better results?
Besides, intelligent workforce strategies for upskilling existing employees fail if there is a largescale misalignment. Companies, in such case, should seriously identify the right fits that suit the evolving demands of the market.
AI AND JOBS
It’s a truism that AI will replace not only repetitive and low-end tasks but also some high-skilled white-collar jobs. There will be a time when such skills will also become irrelevant, and those who will fail to adopt these changes will turn jobless. However, in this replacement process, AI will also create newer jobs that will call for newer skills. Hence, companies should focus more on upskilling their existing employees through several training activities.
WHAT’S HAPPENING ELSEWHERE?
Many organisations are becoming successful in their endeavours as they are fearless in experimenting and taking newer measures to adopt innovations. With the utilisation of such advanced tools, they are changing their traditional methods of working and, thus, motivating employees to perform better in today’s fastmoving world.
It is crucial for businesses, educational institutions and governments to come together and develop a learning culture, where students, as well as employees, could feel curious to explore more and stay self-motivated to learn newer things in life. More importantly, companies will need “human-ness” as a crucial skill from employees. Other skills like self-motivation, resilience, empathy, flexibility, communication and creativity will play a critical role, too. All these factors will be considered important to work efficiently with the future intelligent systems and, hence, utilise their benefits.
To tackle the future uncertainty of jobs, the preparation should begin from school education itself, instead of being dependent on higher studies. The government should focus on helping students imbibe problem-solving skills, creativity and innovation through modifying the curricula and adding more interesting activities.
After passing senior secondary levels or class XII exams, as students enter colleges, the training modules should gradually advance with the introduction of workshops and academic interactions. This pragmatic approach will enrich students with practical insights into the industry and help them in deeply understanding the nature of real-time jobs.
THE WAY FORWARD
Automation and robots are the future, but humans need to stay beyond them in every aspect. They should perform things that robots cannot. After all, they are human creations and, thus, always require human control. The skills of today should modify, and candidates should be trained from the very core of school education. That’s how we can replace the skill mismatch with relevant skills. The future jobs will be more about exploring passion from the very beginning of childhood, and not only schools but parents will also have a vital role in this developmental journey.
Source: Hindustan Times (Jaipur Edition) dated 12 March, 2019
The global workforce
is facing a serious talent shortage. With the emergence of new and rapidly
evolving technology, workers at all levels need new skills to meet the
everchanging market demands.
■ AI will be an important skill in the future workforce (Image)
Rapid evolution of
technology in the last few years has dramatically altered the jobs scenario not
just in India but also globally. India is experiencing a challenging
environment of rapidly changing skills requirements from industry combined with
a higher education sector struggling to keep up.
Emerging technologies,
like AI and Machine Learning have put the industry on a fast track towards
automation.
There has been a lot
of concern around students, new employees and even experienced IT veterans on
losing jobs to machines, which I believe is an extreme view. Rather the nature
of jobs will change, some will become obsolete while new roles get created. This
has, after all, been the reality of the industry since the dawn of the
industrial age.
The World Economic
Forum’s ‘The Future of Jobs 2018’ report for instance, estimates that 75
million jobs could be made redundant by 2022 as machines start to do more of the
work done by humans, but at the same time 133 million new roles could emerge
due to this shift towards automation. This shows that automation will have a
positive impact on job creation. In fact, people will have many careers within
a career.
To get a sense of what
skills will be needed in an age of accelerated innovations, we need to take
cues from the direction of technology’s evolution. Emerging technology like
cloud and cognitive big data require not only new skills, but “liquid skills”
to keep pace with rapidlyevolving technology development.
Cloud-based
applications, AI and Blockchain are already transforming industries and they
will become more widespread in the future.
We have already seen
how cloud computing has made businesses leaner and more agile. But the
intersection of technologies like AI, Blockchain and Data Analytics with Cloud
is opening up new applications, like ability to launch new products faster and
test them better. Therefore, cloud developers, network engineers and architects
will be in great demand.
The lack of blockchain
skills is a top concern and significant inhibitor to blockchain adoption in
companies across a variety of industries.
Businesses have seen
the potential of Blockchain, especially when deployed in conjunction with other
technologies like AI, Internet of Things (IOT) and data analytics, in having an
immediate and positive impact on business bottom lines. Considering it is still
early days, the demand for people with skills in this transformative technology
will only go up.
Similarly, AI and
Machine Learning has proven its potential across sectors from human resources
to healthcare, and again with each new application, the underlying technology
is getting more advanced and it is opening up new avenues of innovation.
Data analytics
specialists, with skills in Python, R and Apache, among others, will continue
to find lucrative careers in technology.
We are aware of the
importance of security of our networks and the data it handles. Yet, research
puts the shortage of cybersecurity professionals at just below three million
and these roles will need to be filled quickly.
The ‘Design Thinking’
and ‘Agile’ methodologies are now well proven. By placing a premium on user
outcomes and constant reinvention in the case of the former and on adaptive
planning, evolutionary development and early delivery in the case of the
latter, companies can transform their business processes and outcomes rapidly
and with minimum disturbances.
AI is viewed as one of
the most pressing workplace skills necessary for success in the coming years.
Organisations and
educational institutions have created tailor made courses focused on imparting
such skills to students and to those who have already embarked on a career in
tech. So upskilling and reskilling are not as great a challenge as before. For
those with the right skills and for those willing to gain these skills the
future holds great promise of being in a position to drive the next generation
of new technology. Skilling in the future will be a continues process and will
focus on contextual learning.
Source: Hindustan Times (Jaipur Edition) dated 12 March, 2019
Under the programme, called YUva VIgyani KAryakram (YUVIKA), three students from each state and union territory will be selected by the chief secretaries based on their academic and extracurricular performance.
EDUCATIONUpdated: Mar 07, 2019 08:01 IST
HT Correspondent Hindustan Times, New Delhi
ISRO also plans to open up a viewing gallery that can accommodate 10,000 people in Sriharikota, Andhra Pradesh, near India’s only launch site, before the April launch of Chandrayaan II(HT )
This year, the Indian Space Research Organisation (ISRO) start a new programme to train school children in space technology, science and applications. Students from class IX in a state, CBSE or ICSE board school can be selected for the programme.
Under the programme, called YUva VIgyani KAryakram (YUVIKA), three students from each state and union territory will be selected by the chief secretaries based on their academic and extracurricular performance.
Students from rural schools will get special weightage in the selection process.
It will be a two-week residential programme that inducts the first batch this year during the summer vacations.
“The programme is aimed at catching them young. It will run during the summer vacations in two - three major ISRO centres like in Bangalore, Thiruvananthapuram and Ahmedabad. The list of selected candidates from the states are expected by the end of this month,” said an ISRO official, on condition of anonymity.
This is a part of a series of outreach programmes being undertaken by the space organisation. Samwad with Students, where children are told about the country’s space programme, was also launched on the New Year’s Day in Bangalore. The programme entails a series of lectures by ISRO researchers in different parts of the country.
This year, the fourth stage of the Polar Satellite Launching Vehicle was also used as a platform for experimentation by students. The first student satellite -- KalaamSat -- was launched on January 25. Seven more applications have been received for the programme.
ISRO also plans to open up a viewing gallery that can accommodate 10,000 people in Sriharikota, Andhra Pradesh, near India’s only launch site, before the April launch of Chandrayaan II. The gallery will also double up as a space museum.
What is YUVIKA?
A two-week residential training programme for students on space science, technology and applications.
Who is eligible?
Any class IX student from a state, CBSE, or ICSE board school.
What is the selection process?
Students will be selected based on their academic and extra-curricular performance by chief secretaries. Students from rural schools will get special weightage.
How many students will be selected?
Three students from each state and union territory.
When will it start?
The first batch will start during the summer vacations of 2019.
Where will it happen?
At major ISRO centres in Bangalore, Ahmedabad or Thiruvananthapuram.
WootCloud Labs would be collaborating with IoT companies to alert the wider IoT community of these vulnerabilities for preventing attacks before they occur.
WootCloud, an innovative IoT cybersecurity company, has announced a global research initiative to help the OpenSource and IoT community at large identify IoT cybersecurity vulnerabilities.
As part of this initiative, WootCloud Labs, the research division of WootCloud, is addressing a mission critical need for businesses worldwide. Using Artificial Intelligence, Machine Learning and Neural Network technology, WootCloud Labs is conducting highly detailed research and analysis to identify IoT (Internet of Things) threats that have historically gone undetected.
WootCloud Labs would be working with IoT organizations and companies to alert the wider IoT community of these vulnerabilities for preventing attacks before they occur.
“With so many smart devices available in the wild, device sprawl is rampant and creates an environment that is becoming more and more inviting for attackers,” said Srinivas Akella, founder and CTO of WootCloud.
“At WootCloud Labs our goal is to deliver actionable insights to the IoT community, empowering businesses with the information they need to get ahead and stay ahead of a wide range of vulnerabilities, exposures and exploits. We are looking forward to continuing to collaborate with organizations to deliver research and analysis around a wide variety of impending threats,” he added.
Expanding IoT ecosystem
According to Juniper Research, the number of IoT connected devices may reach 38.5 billion in 2020 and spending on IoT cybersecurity solutions is expected to increase to over $6 billion globally by 2023.
WootCloud Labs aims to help enterprises and security firms get ahead of and detect new threats that exist in the rapidly expanding IoT ecosystem.
The research team at WootCloud Labs has identified and ethically disclosed numerous new threats over the past year. These include the following:
The presence of three new botnet families on Polycom HDX systems, both mimicking the behaviour of the Mirai botnet. The malware families are a version of the Bushido and Hades Bots. WootCloud Labs detected the infections in the Asia region. A number of Polycom devices were found to be running the discovered bots, which performed brute-force and password cracking operations from the device via the telnet interface. APIs supported by Polycom devices are abused by the attackers for performing unauthorized operations on the device.
The OMNI botnet, which harnesses the power of open open-source software packages such as “BusyBox,” WGet” and others that shipped with the embedded firmware of the Polycom devices. OMNI bypasses the various authentication mechanisms and enables a complete takeover of the target device. It also enables the attackers to launch brute-force attacks and DDoS attacks and allow conferencing systems to act as proxy devices for routing malicious communications such as Command and Control (C&C).
More than 200,000 Cisco routers running with exposed web administrative panels. Exposed routers could become potential targets for malware authors to compromise these devices and use the same for forming botnets. Compromised routers can be used for building botnets to trigger unauthorized operations such as launching brute-force attacks, bitcoin mining, building hidden proxy tunnels, and many others. WootCloud Labs’ research reflected the risk of allowing administrative web consoles to be exposed on the Internet, as they can be accessible by remote users without any restriction.
“In a climate where more than half of organizations have no good control over or have an accurate assessment of devices available on their network, there is an urgent need to proactively identify and manage ‘dark devices’ in a more effective way,” said Akella.
He added that WootCloud is committed to developing solutions and insights that will continue to address this demand.
IoT is gaining ground in our lives at a very rapid rate. This makes the study of IoT and its related aspects very important. This article presents open source IoT tools and services in a nutshell.
The term ‘open source’ is primarily related to software in which the source code is freely accessible to users other than the developer —for examination, use and modification or expansion.
The growth of the Internet of Things (IoT) is based on the continuous developments in the fields of microelectronics, IT and communications, and it is evident this trend will continue. Openness has been the most noted driver of the IoT revolution. It has helped create many interesting applications, ranging from automated kettles to data analysers.
As IoT comprises connected objects like smart appliances, machinery, wheels, etc, the user experience with it relies on the physical structure, its specifications and the way it’s been applied.
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What drives open source
There are three main elements behind the growth of the open source movement.
Beneficiaries: They wish to use a wide category of consumer technologies and not just those from a particular vendor.
IoT service providers: They have developed various technologies, paving the way to versatile compatibility.
Developers: They develop openly accessible code supporting a range of devices, platforms and technologies, rather than being locked with just one vendor.
Figure 1: Internet protocol vs IoT protocol
What follows is a bird’s eye view of the various open source tools and services that will help in the development of IoT.Open source IoT development tools
Arduino is an open source prototyping platform with both software and hardware offering ease of use. It is also interactive, with a simple programming language and an IDE.
Kinoma is a prototyping hardware platform from Marvell Semiconductor, which controls over three open source projects, namely, Kinoma Create, a DIY construction kit; Kinoma Studio, a development environment; and Kinoma Connect, a free app for Android and iOS, connecting IoT devices and mobile devices.
The Eclipse project sponsors numerous projects on IoT, including application services and frameworks, open source implementation of IoT protocols, and Lua development tools.
M2M Labs is another open source framework for building M2M applications such as smart grids, fleet management, remote monitoring, etc. Its capabilities include flexible device modelling, device configuration, device and application communication, data validation and normalisation, prolonged data storage and recovery. It is based on the Apache Cassandra NoSQL database.
Open source hardware
Arduino Yun combines the microcontroller and Linux for the Arduino board. It comprises the ATmega32u4 (which supports Arduino) and the Atheros AR9331 (which runs on Linux) processors. Its built-in features are Wi-Fi, Ethernet, a USB port, microSD card, reset buttons, etc.
BeagleBoard offers credit card-sized boards that run Android and Linux. Since its power requirements are very low, the BeagleBoard is obviously the better choice for IoT devices. It is available with a wide range of vendors—both hardware and software are open source and sold under the name BeagleBone.
Flutter is a programmable electronics processor core for hobbyists, students and engineers. It is based on Arduino, and has a wireless transmitter with a half-mile range. It requires no router and communicates directly with other boards. It includes an asynchronous encryption of 256 bits and offers flexible usage.
LightBlue Bean Punch Through is a low power microcontroller for Bluetooth Arduino. It is wirelessly programmed, runs on a coin cell battery and is ideal for smartphone-controlled projects using Bluetooth 4.0.
Open source operating systems
AllJoyn is a free-licence OS for IoT, originally designed and developed by Qualcomm and now sponsored by the AllSeen Alliance of organisations, which includes LG, Qualcomm, Panasonic, Microsoft, Sharp, Cisco, Symantec and many others. It offers a range of services and frameworks, which enable producers to design compatible devices. It is a cross-platform API for OS X, iOS, Windows 7 and Android applications.
Contiki is an open source operating system for the Internet of Things. It merges microcontrollers to the Internet. It supports standards such as RPL, CoAP, IPv6 and 6lowpan.
Raspbian is a credit card-sized computer that is popular among developers though it was introduced as an educational device. This is not entirely open source, though much of its software and documentation is. It is the most famous Raspberry Pi OS based on Debian Linux.
Figure 2: Eclipse IDE
Open source protocols
Advanced Message Queuing Protocol (AMQP) is a business messaging Internet protocol. It is an open standard for communicating between applications or companies. It connects systems, feeds business processes with the information they need, and transmits instructions to achieve set objectives reliably.
Constrained Application Protocol (CoAP) is a “specialised Web transfer protocol to be used in the Internet of Things with restricted nodes and networks.” This protocol is intended for machine-to-machine (M2M) applications such as intelligent energy and the automation of building infrastructure.
Very Simple Control Protocol (VSCP) probably should be called a framework rather than a protocol. It is a highly scalable, very low footprint, free and open solution for the discovery and identification of devices, their configuration, autonomous device functionality, securely updating the devices — overall, a solution from the sensor to the user.
Industry consortia for open source
Open Interconnect Consortium (OIC) is a non-profit organisation founded by leading technology companies with the aim of defining the requirements for connectivity and the interoperability for the billions of devices that make up the Internet of Things.
Eclipse IoT supports open Internet of Things standards. It provides the IoT protocols open source implementations such as CoAP, oneM2M, LWM2M, MQTT, OPC-UA, and more.
Open source APIs
Zetta is an open source platform, built on Node.js to create servers running over geo-distributed computers and the cloud. Zetta combines WebSockets and REST APIs with reactive programming. This is ideal for assembling many devices in data-intensive applications in real-time.
BipIO exposes an easy-to-access HTTP API for any device. We can use its drag-and-drop simplicity to automatically connect to Web APIs with dozens of pods.
Open source middleware
IoTSyS is middleware that comes with an intelligent device communication stack. It supports several IPv6, oBIX, 6LoWPAN, Constrained Application Protocol and Efficient XML Interchange standards and protocols.
OpenIoT: Its website explains that the project is open source middleware for sensor cloud information, which saves users from having to worry about the exact sensors used. It aims to enable cloud-based ‘Sensing-as-a-Service’ and has developed cases for intelligent agriculture, smart production, urban crowd sensing, smart living and smart campuses.
Figure 3: Hazelcast IMDG
Open source integration tools and platforms
DeviceHive offers a communication framework for connecting M2M devices to the IoT. It includes easy-to-use Web management software for networking, application security regulations and live monitoring devices. It also contains files on sample projects developed with DeviceHub, and has a simulation section where it provides visualisation of how DeviceHub works online.
DeviceHub.net could be considered the ‘open source backbone of IoT’. It renders a cloud facility to monitor, track and control the devices, and stores the data collected from the Web page directly, and in real-time. It is mainly concerned with tracking health care information, the location of children and vehicles, monitoring weather, etc.
Open source toolkits
IoT Toolkit is a collection of libraries that enables communication with the latest IoT based environments and devices. This high-performance library collection is optimised for minimal memory consumption in RAM, ROM, high speed and versatility, on any device.
KinomaJS is a JavaScript based framework designed to create core embedded device applications. It has support for Linux, Mac OS X, Windows, Android and iOS.
Open source Node Flow editors
Node-RED is a Flow-based Internet of Things programming tool for connecting hardware devices, APIs and online services in an interesting and new way.
ThingBox is a set of ready-to-use software that is already installed and set up on an SD card. It’s not a new automatic home box. It aims to help create new use cases that go much further than home automation.
Open source data visualisation
ThingSpeak is an IoT analytics service that allows you to aggregate, view and analyse live data streams from the cloud. It provides instant visualisation of data posted to ThingSpeak by your devices.
Freeboard is a free, open source dashboard project with optional hosted subscriptions that can be easily integrated and elegantly designed with a variety of data sources.
Open source home automation software
OpenHAB integrates different home automation systems, devices and technologies into a single solution. It is supplier- and hardware-neutral, and runs on any Java-activated system. One of its objectives is to enable users to add and combine new features to their devices.
Thing System comprises software and network protocols. It promises to find and bring together all the things in your home that are connected to the Internet so that you can control them. It supports a wide range of devices including Nest thermostats, Samsung smart air conditioners, Insteon LED bulbs, Roku, Google Chromecast, Pebble smart clocks, Goji smart locks and more. It is written in Node.js and can be connected to a Raspberry Pi.
Open source in-memory data grids (IMDG)
Hazelcast IMDG is often used as a database operating memory layer to improve application performance; distribute data across servers, clusters and geographies; ingest data at very high rates and manage large data sets.
Ehcache is a standards-based open source cache that improves performance, offloads your database and simplifies scalability. It is the most commonly used Java cache because it is robust, proven, fully functional and integrates with other popular libraries and frames.
The top ten IoT trends for 2019 and beyond
Gartner shared a write-up about the ten vital trends that will influence the Internet of Things (IoT), from 2019 through to 2023, at the Gartner Symposium/IT Expo in Barcelona, Spain in 2018. These are:
New wireless networking technologies for IoT
New IoT user experiences
Social, legal and ethical IoT
IoT governance
Sensor innovation
Artificial intelligence (AI)
Infonomics and data broking
The shift from the intelligent edge to the intelligent mesh
