Capturing the Mirage: Machine Learning in Media and Entertainment Industries
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These slides were presented by Zecca Lehn, Data Scientist, Earth Advocacy Project for his talk at Data Science Pop Up LA in September 14, 2016.
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Capturing the Mirage: Machine Learning in Media and Entertainment Industries
- 1. Machine Learning in Media and Entertainment Industries 1 Sep 14, 2016 Zecca Lehn| Data Scientist Domino Data Science PopUp LA 2016 Underlying Img: DKFindOut!
- 2. destination.find(r`deep-water`) Img: Michael Whelen 2005 2 How do we get there?
- 4. Failures might seem baffling if we follow our intuition and think of artificial intelligence the same way we think about human intelligence. Lukas Biewald What Can we Learn From AI’s Mistakes 4 By 2019, we believe that digital will account for more than 50 percent of the overall total for media. McKinsey The State of Global Media Spending Across media sectors, companies must ramp down traditional offerings, ramp up new revenue streams, and innovate business models. BCG: Seeking Out Opportunities in a Dynamically Evolving Industry
- 5. WHERE_WE_ARE: Sources: O’Reilly ‘The New Artificial Intelligence Market’ | Fidelity 5 IT: • 32% AI Spending • 31% SP500 MV MEDIA & ENT: • 2% AI Spending • 5% SP500 MV
- 6. WHERE_WE_ARE: Perceptions of AI Value Proposition 6 Source: Accenture The Promise of Artificial Intelligence
- 7. WHERE_WE_ARE: The AI bottleneck – Micro 7
- 8. WHERE_WE_ARE: DESCRIBE >>SEMANTICS >> CREATIVITY? 8 Source: Accenture The Promise of Artificial Intelligence
- 9. WHERE_WE_ARE: Deep Image Recognition (Stanford) Now open source in Python 9 O’Reilly: • 3% of AI spending across all industries...
- 10. WHERE_WE_ARE: Deep Natural Language Processing (CNTK Now Open Source Github/MSFT) 10 Source: InformIT O’Reilly: • 3% of AI spending across all industries...
- 11. Scene Completion | RNN LSTM| Plot Discovery …getting closer to semantic continuity! 11 SUNSPRING Short| A Sci-Fi Starring Thomas Middleditch
- 12. WHAT_WE_SEE: Interactive Dynamic Video: MIT reveals an object’s hidden physical properties 12 Source: http://interactivedynamicvideo.com/
- 13. WHAT_WE_SEE: • DataFX integrates statistics and special effects to create new video and digital content. • Los Angeles based startup with NBA and media clients 13
- 14. WHAT_WE_SEE: Partnership 14 Accelerator Funded LightStage: Face Scanning Mark Ruffalo for THE HULK
- 15. WHAT_WE_SEE: 15 •Presented at Big Data Day LA 2016 •“Prescriptive Analytics” applied through client engagement in feedback loop >> adding to lift through levers •Blending AI w/ econometric models on BIG DATA •Source: IRIS.tv / NBA
- 16. Film Script NLP AI: predict profitability 16
- 17. WHAT_WE_HEAR : 17 Project Magenta @ 2016 MOOG Fest •Open Source Github •Extends ‘live-play’ similar to Markov Chain Next-Work Prediction Engines •Uses Google’s “Deep Dream”
- 18. WHAT_WE_HEAR : 18 MetaCreation Lab: ‘Generative Art’ Creative Behavior ‘
- 20. WHAT_WE_HEAR : 20 “Moneyball for Book Publishers” NY Times 2016 Sources: Publishing Perspectives, NPR •Finish Book, Read Fast, Women/Man, Baby Boomer? •Startup from London •Analytics to understand customers through crowd engagement >> prediction >> channel marketing & PR >> publishers •Addresses 20/80 rule – 20% of books are profitable, and 80% not… Disruptor? •Free and sample ebooks offered in return for your behavioral data
- 21. WHAT_WE_HEAR : •Match directors and writers in pre- production using NLP •Using writers and directors past projects, experience level, interests, etc. •Takes descriptions of projects shared by studios and production companies •Aim to match equal ratio of men and women directors 21 New LA based startup @DataPony
- 22. SUMMARY 22 Img: Zecca Lehn Take a drink, it’s not a mirage… ‘
- 23. 23 Zgit@outlook.com @Zecca_Lehn Email me for slides and please follow: THANKS!
Notas del editor
- My name is Zecca Lehn, I’m an LA based Data Scientist, and I want to answer a question… “Is AI and Machine Learning the New Frontier of Media and Entertainment?” I think so, but many see it as a mirage.
- I’ll show why we need to change this mindset, and how it’s being realized by projects and companies in the industry’. Let’s take a journey to find water… But how do we get there?
- “What we’ll meet along the way” WHERE WE ARE: Market conditions, and sentiment toward AI / ML WHAT WE SEE: How it’s being integrated into visual content WHAT WE HEAR: What companies and projects are delivering speech, music, and NLP
- Looking forward… What Can we Learn From AI’s Mistakes https://www.crowdflower.com/what-we-can-learn-from-ais-mistakes/ The state of global media spending http://www.mckinsey.com/industries/media-and-entertainment/our-insights/the-state-of-global-media-spending Seeking Out Opportunities in a Dynamically Evolving Industry https://www.bcg.com/expertise/industries/media-entertainment/default.aspx Industry breakdown: http://www.wikinvest.com/industry/Media_%26_Entertainment
- Source: O’Reilly -- The New Artificial Intelligence Market 2016
- Accenture The Promise of Artificial Intelligence : https://www.accenture.com/_acnmedia/PDF-19/AI_in_Management_Report.pdf#zoom=50
- Source: http://www.mckinsey.com/business-functions/business-technology/our-insights/delivering-large-scale-it-projects-on-time-on-budget-and-on-value
- Accenture The Promise of Artificial Intelligence : https://www.accenture.com/_acnmedia/PDF-19/AI_in_Management_Report.pdf#zoom=50
- Source Bloomberg: http://www.bloomberg.com/quicktake/artificial-intelligence Note: NLP Accuracies are lower, but improving in the area of semantic prediction. Practice: http://www.pyimagesearch.com/2016/08/10/imagenet-classification-with-python-and-keras/ Big Data Day LA ref: http://www.slideshare.net/sawjd/big-data-day-la-2016-hadoop-spark-kafka-track-deep-learning-at-scale-alexander-kern-cofoundercto-pavlov
- Source: http://www.informit.com/articles/article.aspx?p=2265404 MSFT DL Open Source CNTK: http://blogs.microsoft.com/next/2016/01/25/microsoft-releases-cntk-its-open-source-deep-learning-toolkit-on-github/
- SUNSPRINT: https://thescene.com/watch/arstechnica/sunspring-sci-fi-short-film?utm_content=36474005&utm_medium=social&utm_source=twitter Benjamin (automatic scripts) www.benjamin.wtf Others: ECLIPSE (Action/Adventure at Cannes w/IBM Watson): http://www.globalfuturist.org/2016/07/eclipse-the-worlds-first-ai-produced-short-film-hits-the-screens-at-cannes/ IMPOSSIBLE THINGS (Horror by Greenlight Essentials): http://www.ew.com/article/2016/07/26/artificial-intelligence-writes-perfect-movie-script Recurrent Neural Networks RNN LSTM Github Example http://karpathy.github.io/2015/05/21/rnn-effectiveness/
- MIT: http://www.interactivedynamicvideo.com/videos.html https://www.youtube.com/watch?v=4f09VdXex3A&utm_content=buffer14726&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer
- Mark Ruffalo Transformation into The Hulk https://techcrunch.com/2016/07/11/walt-disney-co-reveals-9-new-startups-in-the-disney-accelerator-spanning-robotics-cinematic-vr-and-ai/
- Source: http://www.slideshare.net/sawjd/big-data-day-la-2016-use-case-driven-track-shaping-the-role-of-data-science-an-evolution-towards-prescriptive-analytics-as-key-driver-in-revenue-acceleration-thomas-sullivan-chief-data-scientist-iristv Company: www.Iris.tv
- Source: http://www.businessinsider.com/this-startup-uses-artificial-intelligence-to-tell-whether-a-hollywood-film-will-be-a-hit-or-a-flop-just-from-the-script-2015-7 http://www.vaultml.com/
- Source: http://www.globalfuturist.org/2016/06/google-is-teaching-robots-to-make-music/
- MetaCreation Lab http://metacreation.net/about/ https://sciencenode.org/feature/tripping-the-light-fantastic.php?platform=hootsuite https://www.youtube.com/channel/UCNiu2kehjhjrGHTx-_jr4ag
- https://techcrunch.com/2016/07/03/ap-sports-is-using-robot-reporters-to-cover-minor-league-baseball/amp/?xing_share=news
- JELLYBOOKS : https://www.jellybooks.com/ CEO: http://publishingperspectives.com/2015/08/jellybooks-tracking-reader-engagement-for-better-marketing/#.V8soqpgrJhH Publishers' Dilemma: Judge A Book By Its Data Or Trust The Editor's Gut?: http://www.npr.org/sections/alltechconsidered/2016/08/02/488382297/publishers-dilemma-judge-a-book-by-its-data-or-trust-the-editors-gut