video analysis software . Cloud-based software offers greater simplicity and flexibility compared to on-prem systems . Software featuring a webbased UI can be accessed via any device , from anywhere in the world . So , those responsible for critical media operations have experienced tremendous benefits from maintaining their infrastructure in the cloud . Plume : The shift to hybrid working has boosted the demand for cloud-based smart home services , including adaptive WiFi and cybersecurity capabilities . Data from Plume IQ shows that for the first six months of 2023 , based on a monthly average , Plume ’ s platform detected and prevented over 450 threats targeted at customers ’ homes across the United States , Japan and Europe . With cyber threats on the rise , there is a growing need to employ advanced cybersecurity solutions that monitor the network and provide real-time protection against ransomware , malware ,
“ Diverse networks make it very difficult to analyse QoE without spending a lot of money t to collect the raw data in the first place .” - Torque Video Systems
viruses and phishing attacks . Torque Network Systems : Cloudbased broadcast infrastructure services ? Absolutely . While the cloud providers have touted their services as very convenient and rapidly deployable , I don ’ t believe putting everything in the cloud is the most economical . For example , putting video transcoding in the cloud is , in fact , massively expensive compared to on-prem softwarebased transcoding . Meanwhile , ASIC-based transcoding systems from vendors like Torque Video Systems are 95 % cheaper than those on-prem software-based systems . Cloud is not cheap . VeEX : Certainly . Getting away from the service provider vs . data centre / hyperscaler notion , to fomenting partnerships between these companies has accelerated the Telco Cloud and Datacenter Cloud deployments . T & M companies have to be ready to provide the high-speed test solutions required in these deployments . WorldCast Systems : The media and broadcast industry has experienced a notable increase in the adoption of virtualised and cloud-based services . This surge is driven by several factors , including the need for scalability and flexibility to respond to fluctuating content demands . Cloud services offer cost-effectiveness by reducing the need for extensive on-site infrastructure and allowing organisations to pay for resources based on actual usage . Additionally , cloudbased tools facilitate remote collaboration , enabling seamless teamwork , particularly valuable during lockdowns and disruptions . These services offer accessibility from anywhere with an internet connection , making remote work and global collaboration more practical . They also provide robust disaster recovery and backup , ensuring media content remains available in unforeseen challenges . The rise of streaming and OTT platforms has further accelerated the adoption of cloudbased infrastructure for efficient content delivery to global audiences .
What role will ML and AI play in T & M ?
Bridge Technologies : A similar answer as above – some caution needs to be shown in relation to the relevance of ML , DL and AI : they ’ re not one single thing and having a precise definitional understanding of what we ’ re talking about in relation to those terms will be important . Our probes have been engaging in deep analytics for years , and facilitating automated decisions on that basis ; the extent to which those decisions constitute ones made on an ML basis will be a spectrum , not an absolute .
In relation to AI – if you define AI as the ‘ mimicry ’ of thought , rather than the neural networks of DL – I suppose that it will become increasingly important in making technical systems more accessible to nontechnical users . That ’ s been a Bridge mission for years ; we make the complex simple by finding ways to communicate complex data in meaningful ways – be that visually , or more recently - through our addition of Dynamic Explanatory Hovercards , which allow the user to understand the metric they ’ re looking at , how it ’ s calculated and why it matters . AI may present a new method for interfacing : where the needs of a non-technical user are
‘ translated ’ to and from the system in a way that makes intuitive sense even for those who don ’ t necessarily understand the nitty-gritty of complex IP networks . Which is not to say that we ’ re trying to eliminate the role of network engineers , merely that – already , even without ‘ AI ’ as such – Bridge Tools are allowing for the
“ Machine learning and artificial intelligence can play a key role in proactive maintenance .” – VeEX
‘ mundane ’ tasks to be handled more efficiently by non-techs , so that the techs can invest their time and efforts in more productive activities . Broadband Forum : ML and AI have an increasing role to play in two key areas : 1 . The T & M of the in-home experience , managing the Wi-Fi performance and connectivity in the home , as well as dynamic services that prioritise the delivery of selected services within the home when needed . For example , homeworking or eHealth service . 2 . From a service delivery perspective within the broadband network , as ML and AI have the ability to recognise congestion , delay and latency of the appropriate applications and perform dynamic subscriber session steering to assure the right path and place subscribers on isolated network slices . Service providers can therefore reallocate resources and effectively increase bandwidth or deliver lower latency on demand . Interra Systems : Over the last year , we ’ ve seen a significant increase in the deployment of automation in production , output processes , and localisation services , with AI and machine learning ( ML ) starting to play a more significant role . The industry has developed a deeper understanding of where AI and ML are most useful in workflows , and how they can be used most effectively as assistive technology . And with the increase in automated processes ,
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