The present and future of post production business and technology

Category: Artificial Intelligence

  • In Just 10 Years

    While projecting the changes that Artificial Intelligence (AI) and Machine Learning (ML) might bring about in the future, it was interesting to look back and see just what didn’t exist 10 years ago. Keep in mind that the Internet itself is only just over 30 years old.

  • AI and Production: The Future

    Beyond the immediate application of machine learning, what does AI have to offer the production business?

  • AI and Production: Now

    In the Overview I pointed out that most of what is being written up as Artificial Intelligence (AI) is really the work of Learning Machines/Machine Learning. We learnt that Learning Machines can improve your tax deduction, do the work of a paralegal, predict court results, analyze medical scans, and much more. It seems that every day I…

  • AI and Production: Overview

    Over the last couple of years I’ve become more and more interested in the ways that the research being done into Artificial Intelligence (AI) might be applied to production and post production. In this article I’ll be giving an overview of what AI is at this stage of development, and what technologies are being used.…

  • Sentiment Analysis: Any role in Production Processes?

    One of the smart algorithms that developers can call on is Sentiment Analysis (by that or another name). Sentiment Analysis simply reads the sentiment – positive, neutral or negative – from a body of messages. It can also provide the same information on single ‘documents’, which could be transcripts. MonkeyLearn – one of the providers…

  • SpeedScriber, Lumberjack, Magic Keywords and Final Cut Pro X: magic combination

    I’ve (along with many other people) have been beta testing SpeedScriber, an unreleased app that combines the power of an API for speech to text with a well thought out interface for correcting the machine transcription. Feed the SpeedScriber output to Lumberyard (part of Lumberjack System) and extract Magic Keywords and in a very short period…

  • Microsoft transcription accuracy equals human transcribers

    Microsoft claim a milestone with their Cordana speech to text transcription service, hitting an accuracy rate of 93.1% or a failure rate of 5.9%, which is reportedly the same accuracy as you’re paying $1 or $2 a minute for right now. No human transcriber is completely accurate. There are generally some words that are unclear,…

  • The Danger of AI Modeling

    One of the powerful way Artificial Intelligence ‘learns’ is by using neural networks. Neural Networks are trained with a large number of examples where the result is known. The Neural Network adjusts until it gives the same result as the human ‘teacher’. However, there’s a trap. If that source material contains biases – such as…