Benchmark June 2020

Page 44

bulletin jun20.qxp_000_Benchmark_apr15 12/05/2020 16:00 Page 1

BULLETIN

Bulletin Benchmark looks at news and product launches of interest to those involved in the design, implementation and use of smart solutions

Vodafone Lookout Mobile Security Vodafone has launched Lookout Mobile Security, a threat detection service to protect businesses and their employees from application, network, device and phishing attacks via mobile devices. It has been reported that cyber-attacks have already increased during the Covid-19 pandemic, and with the majority of UK employees currently working at home, maintaining robust levels of security is essential for all businesses. Vodafone is offering the first three months of any Lookout Mobile Security subscription free of charge. Lookout Mobile Security protects businesses from application threats, alerting users to malicious apps that seek to steal sensitive business or personal data, as well as identifying insecure apps that breach company policies or compliance requirements. It alsom assesses network threats and sends an alert to users if they are about to join an unencrypted network. Device threat assessment notifies users about operating system vulnerabilities, such as out-of-date software or the lack of password protection. Web management alerts users to phishing attempts from browsers, email and SMS messages. Users can tailor the level of service they require, so only pay for the protection they need. 44

Report Identifies Smart City Growth due to 5G The advent of 4G and 5G IoT-based connectivity will spur the online migration of smart-city applications, helping generate a significant increase in smart city artificial intelligence (AI) software revenues by 2025, according to a report by Omdia. The global smart city AI software market is set to increase to $4.9 billion in 2025, up from $673.8 million in 2019, according to projections. Wireless data communication standards will enable smart-city applications to move into the digital realm, where they can capitalise on the latest AI innovations. The growing capabilities of AI are enabling data and insights collected via IoT networks to be monitored, analysed and used to drive autmated smart decisions. Smart city use cases include surveillance, safety and security, taffic management and building control, and are defined by the collection, management and use of data. In the past, trying to enable disparate systems to work together has been challenging due to the lack of solutions which can handle the heavy processing required tro make sense of data. These challenges are being overcome by leveraging advances in AI and connectivity. The introduction of 4G and 5G wireless data technologies makes it easier and more cost-effective to collect and manage data, promoting the migration of smart city AI software to digital platforms. AI and associated machine learning technologies allow data to be analysed in greater detail than ever before. The technology can identify patterns or anomalies within the captured data, which then can be employed for tasks such as automation of actions and decisionmaking. Smart city systems can create municipal systems and services that not only operate more efficiently, but also provide significant benefits to workers and visitors. These benefits can come in many forms, including reduced crime, enhanced safety, reduced pollution, managed traffic flows and more efficient provision of services. One example of how smart cities are leveraging AI is via video analytics, which scans video streams to identify behavioral or situational anomalies.


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