SigmaWay Blog

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

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/

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

The newest development in the technical world today is smart buildings, buildings. This development has been riding the wave of IOT. It has been expected that demand for such buildings will increase to 70% by 2050. Smart cities are also a possibility, using linking devices to communicate with each other thus making it possible to analyze huge amounts of data in real time. Efficient infrastructure and storage for the information is a necessity. This set of IOT solutions has huge potential which seek to improve quality of life and well-being clubbed with increased efficiency, productivity and economic growth. Similarly, the transport sector can also be upgraded by IOT. Smart transport for these smart cities can soon be a reality. To know more, please follow: http://www.dataversity.net/how-cities-will-benefit-from-the-smart-buildings/

Uncontrolled urbanization is posing as a great threat as it puts immense pressure on the resources available. Some of the issues that will be faced in this scenario are clean water, clean air, power, waste management and living space.
Big Data and Internet of Things (IoT) are some of the technological forces which are pushing towards smart cities. With the help of Big Data a range of applications are being made available with the help of which smart cities can be made more livable. Applications like smart street lights are already being used in smart cities like Birmingham. Street lights are attached with sensors which monitor footfall and noise levels and based on this data, the light turns on or off. Cities like Bristol, England are installing an infrastructural network that will support the data generated through Big Data and IoT.
These examples are minor steps in building of Smart cities which can sustain growing population without hampering the quality of life. Read more at: https://icrunchdatanews.com/big-data-building-smart-cities/

A certain cross-country survey revealed that the Internet of Things (IoT) was first adopted by the Healthcare Industry. Organizations that adopted the IoT, believed that they could meet business challenges like patient engagement, loyalty, safety and satisfaction without any delay.
According to Laura DiDio, Director of IoT Strategies Enterprise, the need for IoT is felt highly by enterprises to address and solve pragmatic business issues. Andrew Brown, SA’s Executive Director of IoT and Mobility says that IoT can also be used for cost savings, development of new services, increased competitiveness and better understanding of the business.
It can be said that the Internet of Things has great potential in the field of healthcare and with evolvement of mobile capabilities its growth rate will be escalated.
Read more at: http://healthitanalytics.com/news/healthcare-industry-is-an-early-internet-of-things-adopter

Some of the unconventional ways in which Internet of Things (IoT) creates economic and social value are by detection of earthquakes in hospitals and alerting the administration for evacuating patients, reporting and assessing severity of car crashes and thus helping the victims to get help faster.
Certain examples that show how IoT is integral to several industries:
• The era of “Agriculture 3.0” was characterized by farmers whose decisions about what crop to plant and when and where to plant them was based on analysis of sensor data, weather data and other factors. This form of farming helps increase the yield in a cost and resource efficient manner.
• European airplane manufacturing company uses scanners In airplane assembly lines in order to send required information to robots who then finish the work accordingly.
• Internet of Things is used in Restaurant business for ensuring data-driven quality control.
With decreasing cost of connected devices, the scope of IoT will keep increasing in the future.
Read more at: http://www.smartdatacollective.com/joshua-new/329188/internet-ordinary-things-still-extraordinary

Keeping tabs on products just got easier for manufacturers and retailers. Smart sensors, a part of IOT has enabled tracking of products from manufacturing till the time it gets sold. This technology has drastically reduced waste. Not only that, usage data could be collected throwing light on usage patterns and thereby helping improve the product from a consumer perspective. Interestingly it would help optimize product revenue and collect specific information related to individual consumers that might be used to expand sales or even invalidate warranty.  This sort of monitoring does not go down well with a section of consumers who believe this is an invasion of privacy. In this age of IOT, clear boundaries should be set demarcating what is acceptable in consideration of the benefits. To know more, please follow: http://www.dataversity.net/are-smart-products-getting-too-smart/

It depends on the enterprises' ability to find value in IOT generated data and come up with metadata fabric that enables efficient data analysis. Metadata fabric works in sync with IOT to benefit the enterprise. It can be viewed as the storehouse of business intellectual property. It makes data driven decisions a lot easier. Metadata fabric transforms unified interpretation of data and analytics into layman format and interface easily understood by businesses. IOT ecosystem often throws challenges as the number of unique data sets collected is smaller than the number of applications that need it. Introduction of an intermediate curation layer can solve this governance problem. The aim of the governance system should be to reduce onboarding cost with increasing chances of success. Optimization should also check for homogeneity in the collected data. To know more, please follow:

http://www.dataversity.net/data-governance-the-metadata-fabric-and-the-internet-of-things/

The dynamic interaction between human and artificial intelligence, is going to revolutionize the way, people perceive their IOT (Internet of Things) environment. IoT has numerous applications in businesses, from products like intelligent refrigerator and self-driven cars, to impacting a company’s costs and earnings. Artificial intelligence can help in understanding, say the time required to service a product, the cost incurred in the process and also the substitutes of the product. This knowledge helps in reducing production cost, generates new revenue opportunities, and also aids in diversification of the company in terms of new products. Read more at: 

http://venturebeat.com/2015/06/24/the-internet-of-everything-how-iot-and-machine-learning-will-revolutionize-your-business-webinar/

With IoT becoming the norm rather than the exception, there is an overwhelming amount of customer data at the disposal of companies. But with huge data comes huge challenges. The challenge of combining, cleaning and shaping data before the analysis. Cari Jaquet, vice president of marketing at Paxata, in a special guest feature in Inside Bigdata talks about why data preparation solutions are important to make data more consumable. According to a recent Gartner report, it has been advised to use simple data preparation tools to first, save analysts time and second simplify the task of data preparation from diverse sources. For a deeper insight into data preparation follow the link  http://insidebigdata.com/2015/06/19/data-preparation-the-key-to-unravelling-the-big-data-opportunity/

Self-learning machines need data to learn. So one possible way to get the data that is being generated from all the devices being used across the world is IoT-Internet of Things. Devices communicate with each other and are interconnected through various networks. This could help advance many fields especially medical field. But a standard protocol has to be developed for devices to communicate with each other. It was proposed that the protocol should take care of safety of humans, security of IT infrastructure.

To read more, follow: http://www.v3.co.uk/v3-uk/analysis/2410409/big-data-and-iot-powered-self-learning-machines-wont-take-over-the-world

According to IT research firm IDC report, IoT market will grow by 19% in 2015. The increasing importance of the IoT in manufacturing and operations market, leads to the growth of the IoT by $56.6billion. Digital Signage market, which is used in the retail sector, will be the major driver for growth and IoT retail market will grow from $6billion to $35.7billion by 2018 in this market. The main reason for increasing demand for IoT is decreasing prices and technology advancement. Read more at: http://www.informationweek.com/it-life/iot-market-will-grow-19-percent-in-2015-idc-predicts/d/d-id/1320500