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UCB Media Technology Summit Sept 30, 2009

UCB Media Technology Summit Sept 30, 2009. Michael J Franklin Professor, EECS UC Berkeley Founder and CTO, Truviso. Technology Makes Things Simpler?. Understanding the Opportunities. User Devices and Interfaces Collection + Display + Ubiquitous Connectivity.

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UCB Media Technology Summit Sept 30, 2009

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  1. UCB Media Technology Summit Sept 30, 2009 Michael J Franklin Professor, EECS UC Berkeley Founder and CTO, Truviso

  2. Technology Makes Things Simpler?

  3. Understanding the Opportunities

  4. User Devices and InterfacesCollection + Display + Ubiquitous Connectivity

  5. Continuous Improvement of Input Devices

  6. Ubiquitous Connectivity

  7. Display & Augmented Reality

  8. Smaller Higher-fidelity Better Integrated Camera+GPS+Audio+Comm+… More Connected The Internet of People The Internet of Things Smarter and Personalized Devices & Interfaces: Trends Collection + Display + Ubiquitous Connectivity

  9. Back-End TechnologiesMassive Data + Analytics + Cloud Computing

  10. The Web is Deeper than you Think • Every: • Click • Ad impression • Wall post, friending, … • Billing event • Fast Forward, pause,… • Server request • Transaction • Network message • Fault • … • Generates Streams of Data that can be Analyzed

  11. Business Analytics are all the Rage… Goal: Obtain “Actionable Insight” in complex environments. Challenge: Vast amounts of disparate data and limited time.

  12. Nielsen panels 5,000 households nationally and 20,000 in local TV markets for current television viewership. The U.S. Online Video audience is currently over 150 million viewers. . Example: Video/TV Distribution

  13. Data Flow Architecture • Viewer • Program/Content • Technology platform • Minutes viewed • Program segments viewed • Ads viewed • Viewing behaviors (FF, RW) times 10’s or 100’s M of users, every 5 minutes… From Doug Parrish, Move Networks From playout to reporting.

  14. Real-Time Visibility & Historical Trends

  15. Enabling Infrastructure: Cloud Computing

  16. Scale-Out: The Million-Server Data Center

  17. Amazon Elastic Compute Cloud (EC2) “Compute unit” rental: $0.10-0.80/hr. N No up-front cost, no contract, no minimum Can expand and contract “on-demand” Other major players: Microsoft, Google, Oracle,… Utility Computing: “Pay as you Go”

  18. Massive Resources are Virtualized “Hybrid Intelligence”

  19. MPP – Massive Parallel Processing enables Massive data crunching Provision of large-scale services Content storage, search, and delivery Streaming analytics enable real-time actions. Distributed systems enable large-scale personalized content delivery. Open Source software stacks driving innovations and adoption. Innovations

  20. Small devices are backed by nearly infinite resources CDNs enable massive distribution Activities can be monitored, aggregated, and predicted in real-time and at a very fine grain: Personalization Behavioral Targeting/Predictive Analytics Service Optimization New and Improved Products & Services New and Improved Business Models Analytics provide the key to Monetization. Implications

  21. New Interaction Patterns and Business ModelsParticipatory Culture + Hyper-Personalization + Social Computing + Ubiquity

  22. Participatory Culture - Overt

  23. Participatory Culture – “Less Overt” John Murrell: GM SV 9/17/09 …every time we use a Google app or service, we are working on behalf of the search sovereign, creating more content for it to index and monetize or teaching it something potentially useful about our desires, intentions and behavior.

  24. Search vs. Real-Time Web On the Real-Time Web you can track trends instantly.

  25. Personalization and Narrowcasting

  26. In Summary: Revisiting the Opportunities Collection + Display +Ubiquitous Connectivity Participatory Culture + Hyper-Personalization +Social Computing + Ubiquity Massive Data + Analytics + Cloud Computing

  27. For more information

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