MARCH 2018CIOAPPLICATIONS.COM6MARCH - 30 - 2018MACHINE LEARNINGSPECIALCopyright © 2018 ValleyMedia, Inc. 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 thereof.Volume 03 - 08Published by ValleyMedia, Inc. To subscribe to CIO ApplicationsVisit www.cioapplications.com Graphics & ArtJohn ConnorDeclan ColeRenukesh GangurSalesMarvin Paulmarvin@cioapplications.comMailing Address:ValleyMedia, Inc.44790 S. Grimmer Blvd Suite 202, Fremont, CA 94538T:510.330.5174 EditorialThe Pacemaker for Technological RevolutionJoe PhillipManaging Editoreditor@cioapplications.comJoe PhillipMachine learning (ML) has provided a major shot in the arm for the constant drive among the enterprises to automate the processes. By training the machines to take up tasks that were hitherto performed by humans, the technology has been instrumental in accelerating the tasks manifold, keeping the error margins low. The rapid paces at which algorithms are being designed and developed has helped niche sectors like healthcare, communication, fraud detection and so forth, develop customized applications. Virtual personal assistants, GPS device modules, video surveillance are few of the many areas where ML is being leveraged extensively. It has found a variety of day-to-day applications such as spam filters in email applications and the auto pilot functions in the modern day aircrafts. However, the demand for ML is expected to be the highest from the banking financial services and insurance (BFSI) companies that intend to unleash the power of the technology for online fraud detection and risk management. Face recognition features enabled by ML are not only popular on social media, but are also being leveraged in applications for vigilance. Chatbots that are almost becoming synonymous with customer service, constitute another flashpoint in the machine learning arena. Ecommerce environments have also been using the technology to recommend products that visitors may be interested in, based on the browsing and purchase history of individuals. With numerous market research various reports predicting tremendous growth for the ML technology market, enterprises across several domains are taking cognizance of the possibilities enabled by machine learning. In order to simplify their task of zeroing on the best provider for machine learning solutions and services, CIO Applications has made a sincere effort to bring to fore, the various milestones achieved by organizations, besides insightful articles from thought leaders in the industry. The articles shed light on various challenges that affect the development of machine learning applications and the tactful ways of addressing them, besides preparing for the future changes.Do let us know what you think.Managing EditorJoe PhillipAssistant Managing EditorArijit SarkarSenior WritersClara MathewLalrindiki SailoRoyce D'SouzaEditorial StaffBen JacksonDaniel HolmesEzra BenjaminJames SmithNaomi DaleSarah Fernandes*Some of the Insights are based on the interviews with respective CIOs and CXOs to our editorial staff
< Page 5 | Page 7 >