In this IABM TV interview, Maria Lodolo D'Oria (Head of Sales, Metaliquid) discusses the current state of recognition technology in the broadcast and media industry.
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In this Lorenzo Zanni (Head of Insight & Analysis, IABM) and Ryan Steelberg (President, Veritone) discuss Artificial Intelligence and Machine Learning.
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This session examines the effects of COVID-19 across production and post-production workflows throughout the APAC region.
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We caught up with Brick Eksten, the new CEO of Qligent to find out his plans for the companies development going forward.
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This on demand webinar is part 1 of our Demystifying AI/ML series. In it, we will delve deeper into one of the most important and interesting use cases of artificial intelligence and machine learning (AI/ML): content monetization. The focus will be on the strategic and practical implications of AI/ML at the intersection of content and technology.
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In this IABM TV interview, Steve Callanan (Co-Founder, WIREWAX) discusses the developments to WIREWAX Media Services as a result of the COVID-19 situation.
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In this IABM TV interview, Matt Eaton (Managing Director, EMEA, GrayMeta) discusses how GrayMeta are helping media companies accelerate their adoption of machine learning.
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IABM Principal Analyst Riikka Koponen talks to Gary Schneider, Lead architect for live systems, venues and studios, Linkedin about the challenges they are facing along with the opportunities for Linkedin in today’s fast changing business.
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In the IABM Digital Speed Panels, we talk to media technology suppliers that are quickly and effectively responding to the requirements of these unusual times. In each of these panels, we focus on specific topics that are relevant to the media technology industry in this unprecedented period.
In this panel, we discussed the how data-driven technologies are helping media companies navigate through this crisis. We talked about the use of machine learning to leverage existing content catalogues and increase engagement with consumers. We also discussed the impact of the surge of on-demand streaming on media companies' infrastructures and the future economics of direct-to-consumer models.
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Today’s entertainment industry technology vendors are reeling off jargon like “AI”, “machine learning”, and “deep learning”, touting the benefits these technologies promise.
It can be difficult for video service providers decision makers to discern between the future promise of AI and what is truly feasible and effective today.
In this white-paper you will learn what AI can really do for your video business TODAY! , not in the future.
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