Machine-to-Machine Technology and Analytics - 1485 Words

Introduction On the horizon of big data, is an ecosystem of solutions that uses embedded devices to facilitate real-time analysis of events and data among the Internet of Things . Machine-to-Machine technology and analytics is the promising future of the big data era. Its exponential growth and advancement promises a plethora of solutions and new ideas, but as with all innovations, it will also create a wave of new issues, problems and complications that, given its scale, magnitude and speed of development will certainly challenge as much as it benefits the legal industry. What is M2M IoT? Machine to Machine (M2M) is a broad label that can be used to describe any technology that enables networked devices to exchange information and perform actions without the manual assistance of humans. Products built with M2M communication capabilities are often marketed to end-users as being â€Å"smart† . The interconnection between â€Å"smart† objects and the way we interact in the environment is described as the Internet of Things. How does it work? Sensors (which are devices with processor, memory, storage, inputs and outputs, OS and software capabilities that gather and/or disseminate data on just about anything ), are attached to objects, and the objects’ identities, state or state of surroundings become capable of being relayed to an Internet connected IT structure. The sensors relay data to the outside world through local area and wide area, wireless or wired links. . Local, onShow MoreRelatedPredictive Analysis Model1387 Words   |  6 Pagesareas of technologies by increasing the benefits to the society. The data collected from different wireless sensor network can be modeled using different predictive modeling techniques. This paper listed different IoT data based predictive models and their comparison to understand the usage of model for the energy use of appliances. Specific prediction techniques include Multiple Linear Regression (LR), Support Vector Machine for regression (SVR), Random Forest (RF), Gradient Boosting Machine (GBM)Read MorePredictive Analytics : A Gold Mine1554 Words   |  7 PagesPredictive Analytics: A Gold-Mine Yet To Be Exploited To Its Zenith Akanksha Pandey Information Technology Department, VESIT, Mumbai-74, India. Abstract 1. Introduction The proliferation, ubiquity and increasing power of computer technology has increased the volume of data oday`s mobile technologies and social media have collection and it`s storage manifold. This led to unleashed an exponential increaseRead MoreStatistical Analysis : The Big Data Analytics1399 Words   |  6 PagesThe big data analytics deals with a large amount of data to work with and also the processing techniques to handle and manage large number of records with many attributes. The combination of big data and computing power with statistical analysis allows the designers to explore new behavioral data throughout the day at various websites. It represents a database that can’t be processed and managed by current data mining techniques due to large size and complexity of data. Big data analytic includes theRead MoreWhat Is Internet Of Things?1131 Words   |  5 Pages â€Æ' CONCEPTS OF IoT What is Internet of Things? The Internet of Things is a growing network of everyday objects – from industrial machines to consumer goods – that can share information and complete tasks while you are busy with other activities, like work, sleep or exercise, as SAS states in their insights to define IoT. There is no agreed upon definition of IoT, rather it is so simply defined that any laymen can comprehend it. Internet of Things Global Standards Initiative defines -Internet of ThingsRead MoreSwot Analysis : Amazon And Salesforce Essay1279 Words   |  6 Pagesdata-oriented giants that utilizing data for their own strength. With the difference for their big data journey, I compare these three company in terms of the big data experience, big data Technology and business value. Big Data Experience: Google have developed big data ecosystem with many open source application and technology. It applies Big Data to understand what the researcher want and guide them through the different websites. This infographic, developed by Vertical Measures, dives deep into the complexRead MoreAnaistics Of Big Data Analytics941 Words   |  4 Pages(Gunelius, 2013). Analytics is techniques that explore and extract intelligence from big data. Hence, big data analytics is a sub-process of the â€Å"insight extraction† process from big data (Gandomi Haider, 2015). Big data analytics helps businesses to create more opportunity and even grater distinction among industry peers (Zikopoulos et al, 2013). Big data analytics comprises many relevant techniques/disciplines to extract structured and unstructured data as follows. Text analytics (text mining)Read MoreTrends in the Industry of IT and the Business Cycles Essay1494 Words   |  6 PagesThe name information technology was used for the first time in 1958, in an article in Harvard Business Review and since that time this industry has seen only innovations throughout the history. Some problems that the industry is facing are the increase competition from the offshore and inshore players, the slow growth of the hardware sales, the decrease in the IT spending globally etc. But despite all the problems and challenges that the industry is facing, the opportunities are many. One of theRead MoreA Brief Note On Big Data Analytics Techniques1179 Words   |  5 Pages3. BIG DATA ANALYTICS TECHNIQUES ‘Big Data’ is the application of specialized techniques and technologies to process very large sets of data. These data sets are often so large and complex that it becomes difficult to process using on-hand database management tools. There are several techniques which are widely used in implementation of Big Data. 1. Association rule learning: Association rule learning is a method for discovering interesting correlations between variables in large databases. It wasRead MoreManaging Business And Research Data Is A Big Trend Right Now1566 Words   |  7 PagesIBM Watson Analytics Shreya Prabhu, San Jose State University, San Jose CA Abstract Managing business and research data is a big trend right now. In the dearth of skilled data analysts and data scientists as to the ever increasing need of managing and analyzing data, it is the need of the hour to search for tools and solutions that can achieve big data analysis. IBM Watson Analytics gives tools to access data in an easy way and enables users to do truly complex analytics in minutes on tasks whichRead MoreManaging Test Environments And Test Data1601 Words   |  7 PagesTest data has reached a Server/Storage bottleneck across all the Data warehouse/Business Intelligence applications. By deploying Virtualization solutions, the agility of testing takes a swift growth that benefits the business in near real time Data Analytics. Test virtualization is mainly targeted to face the below challenges head-on: ï‚ · Upsurge in Overall software release cycle time due to numerousrequirement changes and complexity. ï‚ · Decrease in productivity due to manualenvironment configuration and