| | Oct - Dec 20196Copyright © 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. OCT - DEC - 2019, Vol 03 - Issue 09 Published by ValleyMedia, Inc. To subscribe to Utilities Tech OutlookVisit www.utilitiestechoutlook.com SalesRich Gonsalvesrich@utilitiestechoutlook.comVisualizersScott JuasyManaging EditorOlivia SmithEDITOR'S DESKAs power and utilities sector undergo tremendous transformation, utility companies are tapping new technologies to serve increasingly sophisticated customers and improve operational efficiencies. By analyzing the data generated by devices like smart meters, organizations can avert emergency situations and even provide a better option to its customers. It also can glean insights into energy consumption and performance, thereby upping the efficiency of the entire operational processes of utility companies.Recent technological disruptions have made data and analytics a lifeline for utility businesses, continuously transforming traditional business models and enabling digitization of energy. And for these changes to happen, customer and system data need to be converted into a digital form that can be protected, securely accessed and shared, as well as acted upon in a standardized way. This type of transformation has the potential to better serve a wide range of stakeholders in several ways that are vital to the future of utilities. Businesses can lower costs and create budget certainty, freeing up more capital to create jobs or foster investment, as well as supporting operational and overall system efficiency.There are significant opportunities for artificial intelligence (AI) in utility sectors as AI has the ability to take big data, boil it down, and make sense out of it. Utility analytics companies have begun making good use of subsidiary technologies such as machine learning, neural networks, and deep learning. But true autonomous AI remains a niche as human dependency is still high. As interest in AI persists, utility experts conduct research in a variety of AI-powered applications, having seen enormous potential for AI in asset management, demand response, outage management, customer services, energy storage, renewable resources, and many other areas in the utility sphere. Please let us know your thoughts!Olivia Smith Managing Editoreditor@utilitiestechooutlook.comIncreasing Analytic Maturity through TechnologyOlivia Smith*Some of the Insights are based on the interviews with respective CIOs and CXOs to our editorial staffContact Us:Phone:510 330 5172 Fax:510-894-8405Editorial StaffAaron Pierce Ava GarciaJoshua Parker Kenny PeruzziVian Isaac
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