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Improve Efficiency by Double Digits – Leveraging Artificial Intelligence and Machine Learning


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How will artificial intelligence and machine learning help drive efficiency throughout the M&E Industry? In this talk, John Motz will explore the future of machine learning and how it is enabling companies to automate manual workflows to become more efficient and more productive.
Speaker : John Motz, CTO, GrayMeta

Published in: Technology
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Improve Efficiency by Double Digits – Leveraging Artificial Intelligence and Machine Learning

  1. 1. John Motz Chief Technology Officer, GrayMeta Improve Efficiency by Double Digits – Leveraging Artificial Intelligence and Machine Learning
  2. 2. Creation, Distribution & Consumption are all changing By 2019, 80% of global Internet consumption will be video content Source: By 2019, 80% of the World's Internet Traffic Will Be Video ©, All Rights Reserved
  3. 3. Data now becoming more available Things have changed… with more change to come Distracted Bored Leave Expensive Geographic Constraints Siloed Can be Expensive Geographic Constraints Human CapitalFacilities Lots of data and history on this – good and bad Scales well Cost improves over time Cloud Services Gets smarter over time Companies are building platforms to ensure there is commoditization and scale Result: Decreased costs Machine Learning Cognitive / AI
  4. 4. Accelerating the opportunity at GrayMeta Media & Entertainment Compliance Distribution ( IFE ) Distribution (New Markets) Distribution (Regulatory) Search, Recommendation, Discovery EPG, Apps New Tech – Bots Ad Platforms and Revenue Generation
  6. 6. What happens when you use cloud translation technology instead of highly trained people?
  7. 7. Watson’s latest feat of 94.1 percent accuracy is fairly impressive — though it should be noted, it’s still well below the 98.5 percent accuracy rate required by many captioning companies. A recent study, Global and China Speech Recognition Industry Report 2015-2020, projected the global intelligent voice market will grow from $6.21 billion in 2015 to $19.2 billion in 2020. In China alone, voice recognition is expected to be a nearly $3.8 billion market within four years. – David Ward Date: Nov 2016 It isn’t perfect, but is getting better everyday
  8. 8. Machine Translation for Subtitling: Large-Scale Evaluation, Jan 5, 2016 Productivity “Taking the average productivity for each translation pair, and considering all machine translated files, filtered and unfiltered, the gain in productivity reached 38.2%.” And “Measures of productivity gain/loss were also positive, with an overall increase of nearly 40% in terms of subtitles per minute.” Accuracy “Overall pretty good. Simple sentences were usually perfect, but the machine has problems when the sentence is complicated.” And “Generally speaking, it was only in very rare instances that the level of translation generated was such that it needed little or no editing at all. Frequently, it was just easier to get rid of everything and start from scratch.” Perfection isn’t required to realize benefit
  9. 9. What are the opportunities? Time Cost Quality Control