March 2022CIOAPPLICATIONS.COM6Copyright © 2022 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.March - 7 - 2022, Volume 08 - Issue 01 (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 our interviews with CIOs and CXOsSalesSebastian Jacobsebastian@cioapplications.comEmailsales@cioapplications.comeditor@cioapplications.commarketing@cioapplications.comEditorialThe Future of Machine LearningLike many other revolutionary technologies of the modern day, machine learning was once science fiction. However, its applications in real world industries are only limited by imagination today. Understanding the possibilities and recent innovations of ML technology is important for businesses so that they can plot a course for the most efficient ways of conducting their business. It is also important to stay up to date to maintain competitiveness in the industry. Market research even predicts that the global machine learning market which is currently around $7.3 Billion in 2020 will expand to $30.6 Billion in 2024.So as we begin 2022, let's see some of the key Machine Learning trends that may change the future for the better. These trends not only showcase the integration of ML in various industries, but also the improvements in the technology itself.IoT is already an established technology wherein multiple devices or "things" are connected across a network and they can communicate with each other. These devices are increasing continually, so much so that there might be more than 64 billion IoT devices by 2025. All these devices collect data that can be analyzed and studied to obtain useful insights. That's where Machine Learning becomes so important! Machine Learning algorithms can be used to convert the data collected by IoT devices into useful actionable results.The next stage of development in Machine Learning is Automated Machine Learning! It's a godsend for people who are not experts in the complicated world of Machine Learning and also for experienced data scientists and analysts. Automated Machine Learning allows these data scientists to create Machine Learning models with higher efficiency and productivity while having top-notch quality. So a tool like AutoML can be used to train high-quality custom machine learning models for classification, regression, and clustering without much knowledge of programming. It can easily deliver the right amount of customization without a detailed understanding of the complex workflow of Machine Learning. More and more companies are adopting Machine Learning so that this technology is no longer exclusive to just tech giants like Google, Facebook, Microsoft, etc. This also means that AI Ethics is becoming necessary with many companies also having an Ethics board.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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