| |January 20185VOL 1 · ISSUE 1 · JANUARY - 2018Long before computers (as we know them today) were commonplace, the idea that we were creating an ever-expanding body of knowledge ripe for analysis was popular in academia. Although it might be easy to forget, our increasing ability to store and analyze information has been a gradual evolution although things certainly sped up at the end of the last century, with the invention of digital storage and the internet. The earliest examples we have of humans storing and analyzing data are the tally sticks. Then, came along, Abacus, the first dedicated device constructed specifically for performing calculations. The term "business intelligence" is used by Richard Millar Devens in his Encyclopedia of Commercial and Business Anecdotes. Post that, over a period of 2 millenniums, data analytics witnessed a long awaited dramatic growth. We institutionalized. Even under the most supportive circumstances, the application of analytics is a long journey. It can take years to gather data, put the appropriate technologies in place, build the necessary skills, and embed analytical decision making into key organizational processes. However, given the exploratory nature of data analytics, sometimes benefits or insights gleaned are out of the blue, completely unexpected and not part of the original business plan. These happy accidents support the idea that all data analytics is worth the effort, because you never know what might turn up. The burgeoning demand for data-intensive high-performance computing (HPC) and the vastly rising demand for advanced commercial data analytics emanating from big data are key determinants to the need for high performance data analytics solutions in various regions. In a Forrester report titled, the Honeymoon for AI is over; a key conjecture is put forth that in 2018, enterprises will finally move beyond the hype to recognize that AI requires hard work in terms of planning, deploying, and governing it correctly. This brings us to big data because deploying AI capabilities for industrial and consumer applications will warrant redesigning the analytics and data management roles and activities.CIO Insider makes every effort, to bring to light those few data analytics game changers that truly know how to `harvest' the data and are well over the honeymoon period of data analytics. Here we present the top 10 most recommended data analytics solution vendors. Feel free to connect with us. Emanuel Christi DasEditoremmanuel@cioinsiderindia.com.The Hype is OverEditorialOffice Editorial queries email@example.comAdvertising firstname.lastname@example.orgBangaloreTel 080 46441103 To subscribeVisit www.cioinsiderindia.com/magazine-in or send email to: email@example.comCover price is Rs 150 per issueAshok KumarSales & MarketingRavi KalgiGroup Art DirectorMagendran PerumalCirculation ManagerEditorial TeamChitra MishraArchee Roy Vinisha PaivaAnitha TLakshmi GCIOInsiderNo. 124, 2nd Floor, Surya Chambers, Old Airport Road, Murugheshpalya, Bangalore-560017S Sivasankar Mohana KrishnanVisualizer PublisherEditorAlok ChaturvediEmmanuel Christi DasPrinted and published by Alok Chaturvedi on Behalf of SiliconMedia Technologies Pvt Ltd and Printed at Precision Fototype Services at Sri Sabari Shopping Com-plex, 24 Residency Road Bangalore-560025 and Published at No. 124, 2nd Floor, Surya Chambers, Old Airport Road, Murugeshpalya, Bangalore-560017.Copyright © 2018 SiliconMedia Technologies Pvt Ltd, All rights reserved. Reproduction in whole or part of any text, photography or illustrations without written permission from the publisher is prohibited. The publisher assumes no responsibility for unsolicited manuscripts, photographs or illustrations. Views and opinions expressed in this publication are not necessarily those of the magazine and accordingly, no liability is assumed by the publisher.
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