JULY 2020CIOAPPLICATIONS.COM6Copyright © 2020 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.July 08, 2020, Volume 06 - Issue 20 (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: 510.894.8405EditorialIntelligent Business with Machine LearningAutomation and digitization have become buzzwords in every industry. Disruptive technologies such as machine learning, artificial intelligence, and big data have been remarkably successful in helping businesses move towards a digital future. As organizations look to achieve efficiency in business processes, machine learning is becoming a core technology. The constant ability to evolve and develop has made machine learning a go-to technology in many sectors. From robotic process automation to technical expertise, machine learning is being leveraged to make predictions and valuable insights into business operations. Currently, labeled data is a significant barrier in the machine learning process. In the coming years, research will look to overcome this challenge by incorporating intelligent data collection in the machine learning feedback loop. Hybrid deep learning models, where deep learning is combined with other frameworks, is also gaining traction. Te focus will be on incorporating domain knowledge and constraints into deep learning. This will come in handy when there is limited data or challenging requirements for generalization. Data has become a dominating aspect of every business. It holds limitless potential and is being generated at a frantic pace. While more data gives more scope for analysis, not all data is relevant. Machine learning can help organizations to filter through data and categorize relevant data for increased efficiency. Also, machine learning is widely used in voice assistance, cybersecurity, and for effective marketing.As machine learning and its applications continue to fathom various industries, we have compiled a list of the most promising companies in the sector to help you identify the right company for all your business requirements. We hope this will help you make informed choices to incorporate machine learning into your business models.Do let us know your thoughts.Joe PhillipManaging Editoreditor@cioapplications.comJoe PhillipGraphics & ArtIssac GeorgeEditorial StaffBen JacksonDaniel HolmesEzra BenjaminJune MichaelRose DcruzSenior WritersClara MathewLeah JaneRoyce D'Souza
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