| | Dec-Jan 20216CIOReviewA rtificial intelligence (AI) is impacting the future of virtually every industry and every human being on the planet. Artificial intelligence has been established as the main driver of emerging technologies such as big data, robotics, and the Internet of Things (IoT). Moving into 2021, Artificial Intelligence will continue to act as a main technological innovator for the foreseeable future. Surviving the Covid-19 pandemic during 2020 has triggered a fast change in consumer trends. Complex security and privacy concerns, the ethical use of Artificial Intelligence, and the increasing impact of climate change will drive industries to incorporate systemic risk into their long-term planning.With the surge in demand and interest in these technologies, numerous new patterns are rising during this space. Just in case you're a tech proficient or related to innovation in some capacity, it's exciting to perceive what's next within the domain of AI and ML.Hyperautomation, an IT mega-trend identified by market research firm Gartner, is the idea that most anything within an organization that can be automated--such as legacy business processes--should be automated. The pandemic has accelerated adoption of the concept, which is also known as "digital process automation" and "intelligent process automation." AI and machine learning are key components--and major drivers--of hyperautomation (along with other technologies like robot process automation tools). To be successful hyperautomation initiatives cannot rely on static packaged software. Automated business processes must be able to adapt to changing circumstances and respond to unexpected situations.Further, Artificial intelligence and machine learning technology is increasingly finding its way into cybersecurity systems for both corporate systems and home security. AI-powered cybersecurity tools also can collect data from a company's own transactional systems, communications networks, digital activity and websites, as well as from external public sources, and utilize AI algorithms to recognize patterns and identify threatening activity--such as detecting suspicious IP addresses and potential data breaches.In business, Gartner recommends the creation of external AI ethics boards to prevent AI dangers that could jeopardize a company's brand, draw regulatory actions or "lead to boycotts or destroy business value." Such a board, including representatives of a company's customers, can provide guidance about the potential impact of AI development projects and improve transparency and accountability around AI projects.Let us know your thoughts.EditorialAI Holds the KeyCopyright © 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.CIOReviewEmail:sales@cioreview.comeditor@cioreview.commarketing@cioreview.com Dec-Jan 2021, Vol 09, Issue - 107 (ISSN 2644-237X) Published by ValleyMedia, Inc.To subscribe to CIOReviewVisit www.cioreview.com CIOReviewEditorial StaffAaron PierceCarolynn WaltersShirley FaithRussell ThomasVisualizersIssac GeorgeVictor Cruz*Some of the Insights are based on the interviews with respective CIOs and CXOs to our editorial staffJustin Smith Managing Editoreditor@cioreview.comManaging EditorJustin SmithSalesStephen Thomasstephen.thomas@cioreview.com Dean Winchester
< Page 5 | Page 7 >