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What Businesses Can Learn About Video From Universities - Panopto Video Platform


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Academia has been ahead of the business world for a decade now when it comes to using video as a communications and sharing tool. Here, we outline the 7 things universities can teach businesses on how to get the most out of video - solving for hardware, videography, network bandwidth, cost, search, and scaling.

Panopto makes it easy to record, share, and search video–in a single solution that requires zero new hardware and zero specialized training.

Panopto’s video content management system automatically standardizes almost any video camera, then automatically encodes and uploads to a secure, searchable “Enterprise YouTube” of video content that can be shared internally or with partners and customers.

For more, visit or call 855.PANOPTO today.

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What Businesses Can Learn About Video From Universities - Panopto Video Platform

  1. 1. 7 Things Every Enterprise Can Learn about Video from Universities
  2. 2. Case Study: Microsoft vs. University of Essex Microsoft Academy 9,000 videos Company-wide video portal for knowledge sharing, social learning, training videos Results: 9,000 videos in year 3 100k employees: almost 1 video for every 10 people Adopted by engineering, marketing, sales, support, operations, legal, finance, L&D Microsoft
  3. 3. Case Study: Microsoft vs. University of Essex University of Essex 80,000 videos Created a campus-wide video portal for knowledge sharing (recording lectures, supplementary course material) Results: In the third year, 80k videos uploaded into the system 11k students Year 3 Essex
  4. 4. Case Study: Microsoft vs. University of Essex 80,000 videos 9,000 videos Year 3 Microsoft Year 3 Essex
  5. 5. Video Learning in Universities and Corporations: Same Use Cases, Different Names
  6. 6. Video Learning in the Enterprise Recording Instructor-led Training
  7. 7. Video Learning in the Enterprise Delivering Video to Remote Offices and Employees
  8. 8. Video Learning in the Enterprise Capturing Information During Meetings
  9. 9. Video Learning in the Enterprise Presenting Information from Your Laptop
  10. 10. Video Learning at Universities
  11. 11. Overcoming 7 Common Video Challenges
  12. 12. The Hardware Issue Problem: Specialized AV Hardware is expensive and doesn’t scale #1 Solution: Software and commodity cameras are reliable, affordable, and scalable
  13. 13. The Videographer Dilemma Problem: Recording even a simple course or a presentation can be difficult, expensive, and time-consuming #2
  14. 14. Solution: Distributed Recording • Record video at back of room into one laptop • Record screen at front of room into another • Auto-Upload both to the cloud where they're synchronized and converted into formats that can be played on any device
  15. 15. Fragmented Video Solutions Problem: Departmental silos adopt own solutions, fail to enable cross-organization knowledge sharing #3 Solution: Campus recording treats video like CRM or security. One consistent system supports all needs
  16. 16. Video Chaos Problem: Video is scattered across the network. It’s hard to find and hard to support #4 Solution: A single library, video content management system enables videos to be found easily and played on any device
  17. 17. Network Capacity Issues Problem Video is a rich, visual way to better present info. But video takes up a lot of network bandwidth. #5 Solution: Adaptive Bitrate Streaming allows you to throttle back video quality based on available bandwidth.
  18. 18. Scalability Limitations #6 Adobe Connect 1,200 viewers GoToMeeting 1,000 viewers Cisco WebEx 500 viewers Problem Webinar solutions are great for real-time discussions... with small groups Webcasting CDN + WAN Caching Tens of Thousands of Viewers Solution: Webcasting allows you to live stream to thousands of viewers
  19. 19. The Video Search Problem Corporate compliance #7 Problem Most video is impossible to search. Employees can’t find what they need. Solution: Inside Video Search • Automatic metadata generation • Slide text ingestion • Human and machine transcription
  20. 20. Thank You!