Qligent CTO to Explore Data Analytics as Content Everywhere Panelist

Qligent has announced that its Chief Technology Officer, Ted Korte, will be a featured IBC2019 Content Everywhere panelist. Korte will contribute his expertise to Running Content Everywhere Businesses from the Cloud on Saturday, September 14, 2019 from 3:30-4:15pm (15:30-16:15). The session is scheduled at the Content Everywhere Hub Theater in Hall 14 of the RAI Amsterdam Exhibition and Conference Center.

Korte will speak alongside other panelists, including Laszlo Zoltan, VP of DVEO and Andreas Jacobi, CEO and Co-Founder of Make.TV, with IABM CTO Stan Moote serving as the panel’s moderator. The synopsis shared on the IBC website teases that the “three experts will share their practical experiences” of using the cloud across the entire broadcast and production ecosystem, and how big data can both streamline media operations and open up new business models.

“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. On demonstration at Qligent’s Hall 14 Stand (14.C19), Vision Analytics 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,” Korte explained. “Maintaining a very 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. When this rich, valuable, near-real-time data is shared freely by different departments across the enterprise, M+E organisations can be far more responsive to its viewer and subscriber needs, more in control of its branded medium content, and much more competitive in the marketplace.”

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