In the aviation industry, aircraft maintenance and safety is always on high priority. With the increase in air traffic and air passengers, aircraft maintenance and repair firms are utilizing predictive analytics integrated with the Internet of Things (IoT) to predict component failures and pilot stress level. Firms are developing a solution that can predict the likelihood of a component failure which can help to replace the part before it fails. In future, by analyzing breathing patterns of pilots before they board the flight, will help to monitor the stress level. To know more, please read the article by Jonathan Ananda (Writer at The New Indian Express) -: http://www.newindianexpress.com/business/news/Data-Analytics-to-Make-Flying-Safe-for-Pilots-and-Passengers/2016/03/16/article3329532.ece

Image Source - : https://pixabay.com/en/oldtimer-aircraft-take-off-aviation-1010805/

To get the raw data, processed through the Artificial Intelligence models, the data has to be uploaded on a cloud. But there are privacy issues or time wastage in uploading data on cloud and retrieving back. Internet connection is a must. So to eradicate these problems, researchers have developed a chip that could bring AI to the hardware like smart phones, sensors or other mobile devices. These have very large neural networks, which can process data then and there. This means without having access to Wi-Fi or other connections, users can get meaningful insights rather than just the raw collected data. This technology will be of great help in the field of Internet of Things. To know more, follow: http://electronicdesign.com/iot/artificial-intelligence-gets-its-head-out-cloud

Today world is changing at a rapid speed. Technology is playing an important role. Agriculture technology is also advancing and promises to unleash its productivity. The combination of advanced mathematics, automation, advancements in sensor systems and next-generation plant breeding are setting the stage for the next Green Revolution, which is needed to ensure a better future. Next-generation farms are putting science and technology to work towards delivering a step change in yields and growing more from less. Here are the four most exciting developments in 2016.

1) The Mathematics revolution.

2) The Sensing Revolution.

3) Putting it together with automation.

4) Next generation plant breeding of corn.

Read more at: http://www.forbes.com/sites/gmoanswers/2016/01/26/four-technologies-that-will-usher-next-generation-farming/#3cfe147b69f5

Enormous demand of Wi-Fi has led to transmission of billions of bytes of data every day. Researchers have predicted that by 2019 mobile devices will exchange 35 quintillion bytes of information every month. This is just for mobile devices, just consider computers, IOT devices and you can get an idea how much data will be transferred. But our traditional Wi-Fi can't handle this entire load. So scientists have discovered a new technology known as LiFi. It uses light as a means of data transmission. Using LiFi we can send 224 gigabits per second. They can be also used in healthcare facilities. The idea that light can pass through walls can increase security because one has to be physically present in the room to access the data. Read the full article here: http://www.forbes.com/sites/bernardmarr/2016/01/12/will-lifi-take-big-data-and-the-internet-of-things-to-a-new-level/#2bceb09c346f

The field of smart wears brings up wonderful innovations each day. New horizons are explored and tested. This merging of machine and man has brought many such things which we never thought of. Exoskeletons are one such example. These give superhuman abilities to human beings. Nowadays there have been issues regarding privacy. There is always a third eye around looking and collecting more and more information about you. So to protect this the stealth wear is coming. To make this work you need to find the right reflective material that can block surveillance cameras and mobile tracking devices. Smart textile and smart clothing are already very popular. These have various applications ranging from health monitoring clothes to the environmental monitoring ones.  Read more at: http://www.latimes.com/business/technology/la-fi-thedownload-wearable-tech-oddities-20160209-story.html

The fast growing field of "wearables" has brought in one amazing technology. This is being called as "disappearables". The logic behind this is to make technology modest. The wearables should capture energy from the surroundings, sense and observe the environment around. But the challenge for the wearables manufacturing companies is to produce cost efficient products. These should not be restricting the body movements or shall not have the consistent charging issues. This new technology is called disappearables because the user itself can't tell whether he is wearing the smart wear or not. Read more about this amazing technology in the article written by Ben O'Brien (Contributor) at: http://www.entrepreneur.com/article/254301

We've been thinking about the Internet of Things all wrong. According to various predictions by various companies, there were various statements specifying volume and amount of money, number of connections. These are just numbers, Numbers, more numbers. If we believe in the predictions, there is no way that current analytical solutions can manage that level of information. In the immediate future artificial intelligence capabilities are required. Which means all companies who have an analytics platform play will have to invest in A.I. research, acquire and finally emerge with solutions based on methods beyond machine learning. Or risk being left behind. If this sounds vaguely familiar, it's because right now all efforts are pointing towards machine learning and algorithms as the goal for analytics. To read more visit on: http://www.forbes.com/sites/theopriestley/2015/12/08/a-series-of-unfortunate-tech-predictions-artificial-intelligence-and-iot-are-inseparable/#39f25ec8523a1253d985523a

The trend of wearables is growing hotter each day. BYOD (Bring Your Own Devices) and IoT (Internet of Things) clubbed together, is adding more efficiency and flexibility. It's no surprise that smart wearables are already passé for fashionistas. On the counterpart, these trends are attracting the attention of hackers. Wearables are being profoundly used for both business and personal purposes. Thus making them a rich source of information. This could act to the disadvantage if the information gets into the wrong hands. Though the wearables have not revealed any big disadvantages, so far. But as always, with evolving technologies, there always exist weak points. The hackers find these weaknesses and exploit it to their benefit. So it is essential to do proper research on the wearable, before handling it a prominent portion of your information. Read more about it in an article written by Jen A. Miller (a freelance journalist) at: http://www.cio.com/article/3022059/wearable-technology/how-secure-are-wearables-anyway.html

The Internet of Things (IoT) is impacting on consumers’ lives and corporate business models. It is increasing at the rapid rate and by 2020, more than half of the major new process will incorporate some element of the IoT. IoT is basically connecting device with an on and off switch to the internet. By 2020, a black market exceeding $5 billion would exist to sell fake sensor and video data for enabling criminal activity and protecting personal privacy. To address this compromises in IoT security will have increased security costs to 20% of annual security budgets. To read more visit on:  http://tech.firstpost.com/news-analysis/by-2020-more-than-half-of-new-business-processes-will-incorporate-some-element-of-iot-says-gartner-295467.html

IoT is the new green. One of the biggest problems facing the IoT, is scalability. According to a research, it was found that there will be something like 50 billion devices connected to the IoT by 2020. It was also found that each device will usually generate data, and all this data has to go somewhere. Nowadays, networks are connected to several thousands of devices for example, ATM networks and to several million devices i.e. point of sale terminals. Read more about IoT at: http://it.toolbox.com/blogs/datasecurity/iot-scalability-71022

Mobile Marketing is the use of the mobile medium as a means of marketing. According to a report, the IoT device market will double the size of smartphone, PC, tablet, connected car, and wearable devices combined by 2019. The Internet of Things provides a network of physical objects or things embedded with electronics, software, sensors, and network connectivity, thus enabling collection and exchange of data. To know more about how it can hit the target mobile marketing, follow the article written by Arun Bhattacharya (author) at: http://blogs.adobe.com/digitalmarketing/mobile/how-to-add-wearable-devices-to-your-mobile-marketing-strategy/

We are approaching the New Year, and IoT is poised to make an incredible impact on the technology landscape. One of the ways in which the IoT stands ready to influence the business landscape involves a technology called customer relationship management (CRM). Rose de Fremery (Analyst with StudioB), writes in her article about some ways in which this IoT development has the potential to transform marketing, the customer experience, and the product experience through its link with CRM. Read more at: http://it.toolbox.com/blogs/insidecrm/4-ways-the-iot-cloud-is-poised-to-transform-crm-70698

According to McKinsey Global Institute’s report, it was found that IoT has a total potential economic impact of $3.9 trillion to $11.1 trillion a year by 2025. Gartner also predicts that the approximately 3.9 billion connected things in use in 2014 will grow to 25 billion in 2020. IoT is growing and it is making its presence felt in utility industry, industrial sectors, connected cars, healthcare and consumer apps. IoT is setting its feet in investment, manufacturing and retail also. McKinsey’s analysis found that there is an even greater potential value from IoT use in B2B applications. Read more about IoT and its potential at: http://it.toolbox.com/blogs/it-solutions/7-things-the-experts-want-you-to-know-about-iot-70273

IoT is bringing substantial changes across all industries. Big cities are using IoT as a tool in order to move towards data-driven management across all systems which include energy, transportation, waste, and water. It is found that cities are using the most basic IoT tools like the street lights to develop their IoT programs and modernize their existing structures and facilities. Read more at: http://it.toolbox.com/blogs/this-is-it/the-internet-of-things-scaled-up-70258

For any business, the impact of the IoT is a lot greater. The supply chain for most companies is not the hottest area of operations. When products are not properly shipped, when things go wrong that they pay attention to the people who run the supply chain. IoT is also transforming the supply chain. David Gillman (an analyst with Studio B.), writes about how it is transforming supply chain management. They are: Real-Time Tacking; Faster and Better Information; More Accurate Planning; Advanced Analytics; and IoT into the Future. Read more at: http://it.toolbox.com/blogs/inside-erp/5-ways-the-internet-of-things-is-transforming-supply-chain-management-69666

The relationship between structured and unstructured data in real time can be analyzed by turning the structured and unstructured data (wide data) into fast data. Origin of a problem can be found by wide data. Quicker decision and analysis can be made by fast data. With the boom of Internet of Things (IoT), new challenges relating to the structured and unstructured data may arise. By turning wide data into fast data we will be able to retrieve massive amounts of data from various sources and then use them to identify and potentially assess their behavior in real-time.
Unstructured data can also be used to meet real-time data demands. When wide data is turned to fast data it opens doors to various opportunities.
Read more at: http://www.tibco.com/blog/2015/07/17/big-datas-companion-wide-data/

The term Internet of Things was coined in 1999 by Kevin Ashton, cofounder of the Auto-ID Center, an RFID research project at the Massachusetts Institute of Technology. IoT is about intelligent devices talking to enterprise apps. Its important to focus on the basic building blocks as the success of an IOT initiative depends on them. However, you must overcome  challenges before the IoT can be fully realized. A lack of unified standards , Complexity are some of the challenges. If you're starting from scratch, it's important to ask, "What's the No. 1 business problem you want to solve?" Once that's answered, it's time to look at the systems you need to connect and the capabilities you must put in place. The most important point is to bring your structures and unstructured data together in a meaningful way. 

Read more here- http://www.cmswire.com/internet-of-things/get-ready-for-the-iot/

The internet of things is a name for the growing network of physical devices which have sensors to collect and exchange data with users or other devices. Such information is used for personal convenience. Collecting such information can help make lives easier. Companies are collecting the data not just for improving standard of living but also form themselves. This helps advertisers know every bit of information about the consumers regarding what they do, when they do and how they do it. The government is way behind in understanding what actually the internet of things is and companies take a more active role in putting security in place before they get ahead of themselves with data collection. The reality is that developers are thinking about what they could do rather than what they should do with it. The main focus should be on user’s privacy maintenance so that their information is never at risk while commercial efficiencies are also realized.
Read more at: http://www.smartdatacollective.com/semcasting-emory-paine/332361/internet-things-realities-interconnected-world?ref=popular_posts

Many experts believe the model for Internet of Things (IoT) will be smart sensors communicating directly into machine clouds. Edge computing is a critical element needed for the advancement of the IoT. Here is 7 reasons why: 1. The edge is the muffler for data exhaust
2. Time can matter as edge processing reduces time spent.
3. Configurability is an important clause in shaping the future of IoT.
4. Implementing a secure IoT.
5. Governance will become more important.
6. The proper architecture will be needed to accommodate the market demands.
7. Cost as edge processing will be costlier in most cases.
To know more: http://www.thoughtsoncloud.com/2015/07/7-reasons-edge-computing-is-critical-to-iot/

 After big data and internet of things, the new buzzword is the Analytics of things. Though on a similar note, we do not have an exact definition, we know what it means for the economy and the world, as a top strategic trend in technology. As better algorithms for IOT digital infrastructure are being built to index our world to every smaller level, connection based analytics can be used to better predict future conditions and prescribing future actions. AOT fuels the process as new devices are created, there is a potential for new analytics further leading to modification.  Read more at: http://www.forbes.com/sites/teradata/2015/07/15/analytics-of-things-what-does-it-mean-and-where-is-it-taking-u