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Column: Simplifying live broadcast operations using AI and machine learning
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Using Advanced Analytics, AI, and Machine Learning to Mitigate Risk in the Modern Broadcast Environment
The Challenge Facing Modern Broadcasters
As virtualization transforms the media industry, video workflows are intersecting in new ways every day, allowing for agile, cost-effective business models and the ability for content owners to monetize content across more platforms. With vast amounts of data being transmitted across increasingly complex supply chains, broadcast workflows have become more difficult to manage, and problems are harder to diagnose. As media organizations connect more on-prem and cloud resources together equipment from different vendors, sources from other business units and partner organizations and distribute to new device types, there is an ever-expanding amount of log and telemetry data. Most of this data gets ignored. Why? Broadcast engineers have more information than they can effectively process, and they often silence alerts and ala
How to predict - and prevent - errors
Dan Robinson Wed 28 Apr 2021 // 16:00 UTC Share
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Sponsored Storage is perhaps the most fiendishly complex part of enterprise IT, as the storage infrastructure has to meet the demands of a range of workloads with differing requirements for performance, all while ensuring reliability. This is particularly so for storage that supports mission-critical applications where high availability is an essential requirement.
Add to the mix the need to accelerate the speed of their business and become more agile, and it is clear that organizations need to have a strategy for managing their data, one that takes a more intelligent approach. This in turn calls for more intelligent platforms to support the whole process and avoid being tied down with the complexity that mission-critical storage often entails.
Picking up the slack on AWS, Azure, and GCP
Lindsay Clark Fri 16 Apr 2021 // 10:45 UTC Share
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Vendors should only be allowed to go cloud-native once, no matter how many times they try to pull off the publicity trick. We can decide later how we ll police this house rule – electrical clamps to the nodes, anyone? – but for now let s look a recent suspect: Informatica.
At its annual shindig this week, held online like 2020 s affair because of COVID-19, the 28-year-old data integration vendor launched its Intelligent Data Management Cloud (IDMC). The accompanying guff says it is micro-services based and API-driven and able to scale with elastic and serverless processing.
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