capturing the mirage: machine learning in media and entertainment industries
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CAPTURING THE MIRAGE:Machine Learning in Media and
Entertainment Industries
Sep 14, 2016
Zecca Lehn| Data ScientistDomino Data Science PopUp LA 2016
Underlying Img: DKFindOut!
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destination.find(r`deep-water`)
Img: Michael Whelen 2005
How do we get there?
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2.WHAT_WE_SEE1.WHERE_WE_ARE
3. WHAT_WE_HEAR
Img: MySafe:LA
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WHERE_ARE_WE?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
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
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WHERE_WE_ARE:
Sources: O’Reilly ‘The New Artificial Intelligence Market’ | Fidelity
IT: • 32% AI Spending• 31% SP500 MV
MEDIA & ENT:• 2% AI Spending• 5% SP500 MV
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WHERE_WE_ARE:Perceptions of AI Value Proposition
Source: Accenture The Promise of Artificial Intelligence
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WHERE_WE_ARE:The AI bottleneck – Micro
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WHERE_WE_ARE:DESCRIBE >>SEMANTICS >> CREATIVITY?
Source: Accenture The Promise of Artificial Intelligence
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WHERE_WE_ARE:Deep Image Recognition
(Stanford) Now open source in Python
O’Reilly: • 3% of AI spending across all industries...
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WHERE_WE_ARE:Deep Natural Language Processing
(CNTK Now Open Source Github/MSFT)
Source: InformIT
O’Reilly: • 3% of AI spending across all industries...
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WHAT_DO_WE_SEE ?
Scene Completion | RNN LSTM| Plot Discovery…getting closer to semantic continuity!
SUNSPRING Short| A Sci-Fi Starring Thomas Middleditch
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WHAT_WE_SEE:Interactive Dynamic Video:
MIT reveals an object’s hidden physical properties
\Source: http://interactivedynamicvideo.com/
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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
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WHAT_WE_SEE:
Partnership
Accelerator Funded
LightStage: Face Scanning Mark
Ruffalo for THE HULK
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WHAT_WE_SEE:
•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
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WHAT_DO_WE _HEAR ?Film Script NLP AI: predict profitability
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WHAT_WE_HEAR : Project Magenta @ 2016 MOOG Fest
•Open Source Github
•Extends ‘live-play’ similar to Markov Chain Next-Work Prediction Engines
•Uses Google’s “Deep Dream”
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WHAT_WE_HEAR : MetaCreation Lab: ‘Generative Art’ Creative Behavior
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WHAT_WE_HEAR :
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WHAT_WE_HEAR :“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
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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
New LA based startup @DataPony
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SUMMARY
Img: Zecca Lehn
Take a drink, it’s not a mirage…‘
