AI and Post Production - ERP Spain.com - España y América Latina

Slowly but surely, Artificial Intelligence and Machine Learning are beginning to have a profound impact on post production. From automated ingest to transcription, editing and mastering, increased automation is set to drive greater efficiencies for broadcasters across the full range of content types. But at this relatively early stage of AI adoption in M&E, are these tools sufficiently accurate and how seamlessly can they be incorporated into existing workflows? In this webinar we will look at the overall context for AI in post production and consider its probable trajectory over the next few years, addressing issues including: - The extent to which the main areas of post are now supported adequately by AI-enabled tools - Strengths and weakness of the current AI post solutions market - The extent to which AI tools are perceived as being sufficiently accurate at this point, and the areas in which they need to improve - Whether AI can ever fully supplant human processes in areas such as subtitling and transcription, or whether a final QC stage will always be required - The impact of AI from a skills perspective, and whether specific training is required to optimise the use of these tools