June 2021CIOAPPLICATIONS.COM6Copyright © 2021 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.June - 14 - 2021, Volume 07 - Issue 05 (ISSN 2644-240X) Published by ValleyMedia, Inc. To subscribe to CIO ApplicationsVisit www.cioapplications.com Managing EditorJoe Phillip*Some of the Insights are based on the interviews with respective CIOs and CXOs to our editorial staffSalesSebastian Jacobsebastian@cioapplications.comEmailsales@cioapplications.comeditor@cioapplications.commarketing@cioapplications.comContact UsPhone: 510.330.5174Fax: 510.894.8405EditorialUnraveling the True Potential of Machine LearningWhile the concept of Machine Learning (ML) has been around for a long time, like the Enigma Machine used during WWII, the ability to automate the application of complex mathematical calculations to Big Data has only gained traction recently. From Facebook suggesting the stories in our feed, and task automation to business intelligence (BI), ML is now the driving force behind billion-dollar industries, from autonomous vehicles to medical diagnostics.The greatest benefit of data collection and analysis is not understanding what happened yesterday but determining what to do tomorrow. Today, with predictive analytics, it's possible for any company to instantly derive insight and reliably apply that insight to future business activity. The added advantage of transparency, with "explainable AI", has further taken ML forward by even explaining the reasons behind a prediction. Explainable AI is particularly of great value in the field of banking and healthcare as it provides insights into the data, variables, and decision points used to make a recommendation.In conjunction with the open-source software movement, machine learning has enabled the democratization of the most cutting-edge technological advancements in artificial intelligence and automation. The field of ML is further divided by the different capabilities of the models and algorithms and less by its specific applications. For instance, computer vision, a major sub-domain of ML, tackles the general problem of enabling AI to train computers in interpreting and understanding the visual world. Its application can span from the basics of agriculture and industrial manufacturing to the advancement of aerospace engineering and autonomous vehicles.This edition aims to provide readers insights from industry leaders to help them have a detailed understanding of the Machine Learning arena and the recent developments in this field.Let us know your thoughts.Joe PhillipManaging Editoreditor@cioapplications.comJoe PhillipGraphics & ArtEditorial StaffBen JacksonDaniel HolmesEzra BenjaminSoham SanyalRose DcruzSenior WritersClara MathewLeah JaneRoyce D'SouzaAsher Blake
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