ucb media technology summit sept 30, 2009
DESCRIPTION
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. - PowerPoint PPT PresentationTRANSCRIPT
UCB Media Technology SummitSept 30, 2009
Michael J FranklinProfessor, EECS UC BerkeleyFounder and CTO, Truviso
Technology Makes Things Simpler?
Understanding the Opportunities
3
User Devices and Interfaces
Collection + Display + Ubiquitous Connectivity
4
Continuous Improvement of Input Devices
Ubiquitous Connectivity
6
Display & Augmented Reality
7
Devices & Interfaces: Trends
8
SmallerHigher-fidelityBetter Integrated
Camera+GPS+Audio+Comm+…More Connected
The Internet of PeopleThe Internet of Things
Smarter and Personalized
Collection + Display + Ubiquitous Connectivity
Back-End Technologies
Massive Data + Analytics + Cloud Computing
9
The Web is Deeper than you Think
10
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
Business Analytics are all the Rage…
Goal: Obtain “Actionable Insight” in complex environments.
Challenge: Vast amounts of disparate data and limited time.
Example: Video/TV Distribution
• 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.
.
Data Flow Architecture
From playout to reporting.
• Viewer• Program/Content• Technology platform• Minutes viewed• Program segments
viewed• Ads viewed• Viewing behaviors (FF,
RW)From Doug Parrish, Move Networks
times 10’s or100’s M of users,
every 5 minutes…
Real-Time Visibility & Historical Trends
Enabling Infrastructure: Cloud Computing
15
16
Scale-Out: The Million-Server Data Center
Utility Computing: “Pay as you Go”
• 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,…
“Instances” Platform Cores Memory DiskSmall - $0.10 / hr 32-bit 1 1.7 GB 160 GB
Large - $0.40 / hr 64-bit 4 7.5 GB 850 GB – 2 spindles
XLarge - $0.80 / hr 64-bit 8 15.0 GB 1690 GB – 3 spindles
Massive Resources are Virtualized
18
“Hybrid Intelligence”
Innovations
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.
Implications
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.
New Interaction Patterns and Business Models
Participatory Culture + Hyper-Personalization +
Social Computing + Ubiquity
21
Participatory Culture - Overt
22
Participatory Culture – “Less Overt”
23
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-TimeWeb you can tracktrends instantly.
Personalization and Narrowcasting
25
In Summary: Revisiting the Opportunities
26
Collection + Display +Ubiquitous Connectivity
Massive Data + Analytics + Cloud Computing
Participatory Culture + Hyper-Personalization +Social Computing + Ubiquity
For more information
27