Qligent's CTO to explore cloud-based data analytics as IBC2019 'Content Everywhere' panel

Ted Korte, CTO, Qligent
Ted Korte, CTO, Qligent


Qligent, a specialist in cloud-based, enterprise-level content monitoring and analysis, has announced that its CTO, Ted Korte, will be a featured as IBC2019 Content Everywhere panelist. Korte will contribute his expertise to Running Content Everywhere Businesses from the Cloud.

Korte will speak alongside other panelists, including Laszlo Zoltan, VP, DVEO and Andreas Jacobi, CEO and co-founder, Make.TV, with Stan Moote, CTO, IABM, serving as the panel’s moderator.

“Data-driven strategies comprise currently one of the biggest trends in the industry today, and these require cloud technologies at a foundation whether public, private or hybrid,” said Korte. “Cloud and big data are no longer just interesting technologies; they are required to remain competitive. Data silos must be broken down into their least common denominator, augmented to fill in gaps, and reconstructed to support new and dynamic workflows.”

Korte has become an in-demand speaker on the topic of analytics, having presented at the 2017, 2018 and 2019 NAB Shows, the 2018 IEEE Broadcast Symposium, and the TecnoTelevisión México Conference last month. Korte brings further validity as a speaker through his development work with Qligent’s Vision Analytics platform. harnesses advanced technologies (AI, machine learning, virtual IoT-based probes, data mining) to analyse massive datasets that detail the quality of service and experience, as well as measure, manage and monetise viewer engagement. This helps users prevent viewer churn by predicting and detecting problems out to the last mile, including penetration into end user devices.

“Media and Entertainment (M&E) companies face unique challenges as they curate, program, and distribute their high-value content across multiple—often global—distribution chains. Maintaining a high viewer quality of experience (QoE) across such a complex, dynamic media ecosystem requires reliance on big data analytics—and the predictive capabilities of data science technologies—all customised and scaled to the specific mission at hand,” explained Korte.

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