6CIOReview | | MAY 2024EditorialTransforming Industries through Intelligent AutomationCopyright © 2024 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.CIOReviewVisualizersIssac GeorgeMichael WayneDisclaimer :* Some of the Insights are based on the interviews with respective CIOs and CXOs to our editorial staffJustin Smith Managing Editoreditor@cioreview.comManaging EditorJustin SmithEditorial StaffAaron PierceCarolynn WaltersShirley FaithRussell ThomasEmail:sales@cioreview.comeditor@cioreview.commarketing@cioreview.com MAY - 13 - 2024, Vol 13, Issue - 17 (ISSN 2644-237X) Published by ValleyMedia, Inc.To subscribe to CIOReviewVisit www.cioreview.com CIOReviewThe Internet of Things (IoT) continues to grow, with the number of connected devices predicted to surpass 29 billion by 2030, nearly doubling from 2020. Various factors drive this expansion, including the rising demand for remote monitoring, the proliferation of smart payment solutions and the need for robust digital infrastructure.Market analysts anticipate the global connected device analytics market to reach a staggering $245.7 billion by 2033, with a projected CAGR of 23.2 percent throughout the forecast period. This growth is attributed to numerous sectors, including utilities, retail, transportation and government, where IoT devices are expected to number over eight billion by 2030.One of the most prominent trends is the evolution of Edge AI, placing AI capabilities directly on devices generating data, to improve IoT performance. This approach, also known as intelligent edge or edge IoT, addresses the growing data volume and latency challenges associated with traditional cloud-based AI. OEMs and semiconductor vendors are actively developing AI models and inference chipsets for edge devices, enabling real-time analysis and decision-making at the endpoint. This local processing offers several advantages--faster response times for applications like AR/VR gaming, improved data privacy and security reduced costs from data transfer, and even sustainability benefits due to lower computational demands. While many edge devices face limitations in energy capacity, edge AI's compelling advantages drive its rapid adoption across various industries.In this edition of CIOReview, we bring you insights into the latest developments in the Internet of Things (IoT) and how companies align with the latest trends with IoT platforms, cloud computing, edge computing, AI/ML, security measures and blockchain. It features a thought leadership article from L. Miguel Encarnação, Head of Data Visualization at Regions Bank, who talks about the pivotal role of data visualization in business decision-making, especially in the era of abundant information. It also features an article from Joe Zirilli, Vice President, of Artificial Intelligence, Parsons, who sheds light on the evolving nature of artificial intelligence (AI) and its impact on daily life, emphasizing the challenges in defining AI due to its constant evolution. We also bring you the story of top IoT solutions providing companies that help to enhance safety and make data-driven decisions. In this edition featuring the Most Promising Internet of Things Solutions Providers 2024, and we hope you find the right partner to meet your organization's needs.Let us know your thoughts!
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