The Gwalior academy of Mathematical Sciences was launched in March –1994 by Professor Vinod P. Saxena as its founder President with a view to promote teaching and research activities in Mathematics. Since then it has been endeavoring to achieve its objectives of upliftment of Mathematics by organizing International Conference once in four years, annual conferences, workshops, seminars and publishing news and research journals. It aims to bring together Experts and Research Workers in Mathematical Modeling of various features of Physical Sciences including Biosciences. Since the last three years, Dr. Karmeshu, JNU, New Delhi as President GAMS is attempting to bring the technology as part of the academy as well as spread the message of the academy, worldwide
MERIT is a non-profit and charitable educational institution, governed by some of the top personalities in Information Technology, Management and Administration. MERIT was established by Mohyal Foundation in October '99 to cater to the needs of changing our Nation into a knowledge society. Taking into account the importance and role of Information and Communication Technology (ICT), MERIT has been facilitating a number of students and young professionals by providing cost effective and high quality education along with professional skill development. MERIT R&TC has been established specifically to help groom young engineers for undertaking research on emerging areas as well working on real life projects. This experience is expected to improve their employability as well development of their skill for self entrepreneurship. MERIT had conducted 15th Annual Conference of GAMS in December 2010 and are conducting the 11th National Symposium of GAMS on 6th & 7th July 2017.
Big data analytics is the process of examining large data sets to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful business information. The primary goal of big data analytics is to help companies make more informed business decisions by enabling data scientists, predictive modelers and other analytics professionals to analyze large volumes of transaction data, as well as other forms of data that may be untapped by conventional business intelligence (BI) programs. That could include Web server logs and Internet click stream data, social media content and social network activity reports, text from customer emails and survey responses, mobile-phone call detail records and machine data captured by sensors connected to the Internet of Things.
The availability of Big Data, low-cost commodity hardware, and new information management and analytic software has produced a unique moment in the history of data analysis. The convergence of these trends means that we have the capabilities required to analyze astonishing data sets quickly and cost-effectively for the first time in history. These capabilities are neither theoretical nor trivial. They represent a genuine leap forward and a clear opportunity to realize enormous gains in terms of efficiency, productivity, revenue, and profitability.
The Age of Big Data is here, and these are truly revolutionary times if both business and technology professionals continue to work together and deliver on the promise.
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