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Contenido proporcionado por BlogTalkRadio.com and Tracy Swedlow. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente BlogTalkRadio.com and Tracy Swedlow o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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Radio ITVT: "Machine Learning and Artificial Intelligence for the OTT Universe"

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Contenido proporcionado por BlogTalkRadio.com and Tracy Swedlow. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente BlogTalkRadio.com and Tracy Swedlow o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
ITVT is pleased to present an audio recording of the TVOT NYC 2018 session, "Machine Learning and Artificial Intelligence for the OTT Universe." The session was described in the show brochure as follows: "Machine learning (ML) and artificial intelligence (AI) have progressed in the past year to become a leading feature of virtually every major equipment vendor in the professional video industry, from capture to post-production to stream analysis. The value of systems that can perform sentiment analysis, curate and deliver personalized content, provide predictive analysis, and automate content compliance is growing, as OTT content--including short-form mobile content--surges across devices. Every corner of the OTT landscape--from telco operators and broadcasters, to pure-play streamers--has specialized ML and AI needs, and providers are seeking solutions from leading players, including Microsoft, Google, and Amazon, but increasingly from smaller, niche technology companies that have innovative plays for specific applications. This panel will feature some of the leading minds in the specialized world of ML and AI for the broader OTT industry." Panelists included: Romain Eude, CEO, UtellyRanda Minkarah, COO, Transform DigitalJanne Neuvonen, CEO, BcasterChris Pfaff, CEO, Chris Pfaff Tech Media (Moderator)Aman Sareen, CEO, ZypMedia
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300 episodios

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Manage episode 228154180 series 1011099
Contenido proporcionado por BlogTalkRadio.com and Tracy Swedlow. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente BlogTalkRadio.com and Tracy Swedlow o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
ITVT is pleased to present an audio recording of the TVOT NYC 2018 session, "Machine Learning and Artificial Intelligence for the OTT Universe." The session was described in the show brochure as follows: "Machine learning (ML) and artificial intelligence (AI) have progressed in the past year to become a leading feature of virtually every major equipment vendor in the professional video industry, from capture to post-production to stream analysis. The value of systems that can perform sentiment analysis, curate and deliver personalized content, provide predictive analysis, and automate content compliance is growing, as OTT content--including short-form mobile content--surges across devices. Every corner of the OTT landscape--from telco operators and broadcasters, to pure-play streamers--has specialized ML and AI needs, and providers are seeking solutions from leading players, including Microsoft, Google, and Amazon, but increasingly from smaller, niche technology companies that have innovative plays for specific applications. This panel will feature some of the leading minds in the specialized world of ML and AI for the broader OTT industry." Panelists included: Romain Eude, CEO, UtellyRanda Minkarah, COO, Transform DigitalJanne Neuvonen, CEO, BcasterChris Pfaff, CEO, Chris Pfaff Tech Media (Moderator)Aman Sareen, CEO, ZypMedia
  continue reading

300 episodios

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