November 20196 CIO AdvisorCopyright © 2019 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.Email:sales@cioreviewapac.comeditor@cioreviewapac.commarketing@cioreviewapac.com November - 15 - 2019, Volume 05 - Issue 21 (ISSN 2644-2892) Published by ValleyMedia, Inc.To subscribe to CIOReview ApacVisit www.cioreviewapac.com Editorial StaffAaron PierceCarolynn WaltersShirley FaithRussell ThomasVisualizersDavid Parker*Some of the Insights are based on our interviews with CIOs and CXOsManaging EditorPaul JohnSalesAnnie Mathewsannie.mathews@cioreviewapac.com Dane StanleyJaxon JaseOver the last ten years, technologies have empowered companies to make the digital transformation and undoubtedly but steadily disrupted business models, markets, and IT operations. Though these now-familiar forces may no longer qualify as "trends," their impacts cannot be overstated as they continue to evolve. That being said, as companies strive to remain competitive in the marketplace, machine learning is actively being used today in a number of ways to optimize operational processes. Machine Learning (ML) tools are revolutionizing the building, deploying, and managing software solutions in various industries. The increased development of AutoML tools is enabling solution providers to offer a plug and play machine learning models for enterprises who lack expertise and experience in deep machine learning.On the other hand, solution providers are offering powerful abstractions tools for the different aspects of machine learning capabilities. These vary from tools that handle tracking of various experiment iterations and helps data scientists build state-of-the-art models in developer environments to run powerful compute machines. With the maturation of digitalization, the need for data analysis and interpretation for everyday decision making in businesses is increasing. Machine learning is providing the means to collect, store, and analyze this data efficient. This capability helps businesses recognize patterns easily in repetitive management tasks. Replacing manual labor and enabling them to focus on core business objectives. As the machine learning space continues to evolve, it can be challenging for companies to keep up with the changes and adapt. To make this task less daunting and empower businesses to remain competitive and innovative, CIO Review APAC presents to you a special edition of Machine Learning. This magazine features insights from industry leaders such as Twigfarm and offers an in-depth view of the company's revolutionary technology in this space. We hope this special edition will assist you in revamping your organization's business strategy. Let us know your thoughts.EditorialEvolution Of Machine LearningPaul John Managing Editoreditor@cioreviewapac.com
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