NTCA Presentation - The IP World You’ve Created

Presentation given at NTCA regional meetings in 2013, to rural broadband telcos and co-ops.

Transcript

1. Jeramiah Dooley Office of the CTO Service Provider Strategist Blog: http://blog.vmforsp.com Twitter: @jdooley_clt
2. Sharing is Fun! • My favorite audience is an involved one! Your participation makes everything better! • Are you a Twitter user? If so, go crazy, and make sure to include @NTCAconnect or #NTCA in your updates. • Taking and sharing of pictures and video is encouraged. • Slides from this presentation are available in your workbooks, and the presentation will be available online in its entirety.
3. This is an Interesting Audience! • What I’ve learned from the previous regions is that there’s multiple kinds of people here, which is great! • I’ll do my best to make this as interesting, relevant and useful as I can. • If you need different/more/other content, or need a more/less technical version, please reach out to me!
4. Our Talk Today • Who Am I? • Data, More Data and Big Data • Legacy Makes Money Too • The Challenge • The Process • Teams Matter • Innovation Case Studies: Making Something From Something Else • Amazon Web Services • Netflix
5. This Is Me
6. My Career Has Been About Data
7. Data Can Be Many Things
8. Data Drives Consumption • Consumption is good, right? It also brings challenges. • Consumption is only as good as the content being delivered • Consumption is compounded (good and bad) by the possible endpoints
9. Data Also Always Drives Opportunity
11. How Much Data Are We Talking About?
12. How Much of That Data is Useful?
13. The Transition from Data to BIG Data
14. Where Does “Cloud” Matter?
15. We Are Behind the Curve http://www.emc.com/leadership/digital-universe/index.htm
16. Legacy Data is Still Relevant Data
17. Legacy Data is Still Relevant Data
18. Follow the Money Mainframes = $1.28B x86 = $2.9B OpenStack = $1.1B Server Vendor Revenue Estimates, 1Q13 (U.S. Dollars)
19. Who is Monetizing the Data Today? • Leverage sensor data • Leverage billing data • Leverage aggregated, anonymous user data • Create new business units to sell analytics to 3rd parties • Leverage agreements with carriers • Provide standardized data sources for 3rd parties • Leverage algorithms to provide additional layers of value
20. Your Challenge Monetization Data Analytics and Presentation Data Acquisition, Cleaning, Integration, Privacy and Warehousing
21. Monetization Means Deciding • Decide if you are you a zoo keeper • Consider investing in data platforms • Decide if you are a Big Data platform
22. Time To Move
23. Failure is a Necessity
24. Cycle, Cycle, Cycle
25. Know Your Customers
26. Spend Your Time (and Money) Wisely
27. Teams Matter
28. Teams Matter A Lot
29. Know What’s Important
30. Innovation Case Study: AWS • Infrastructure was NOT core to their business. • Their goal was NOT to replicate the enterprise datacenter • Projected to drive $3.8B in revenue in 2013 • Has become the standard • For API development • For service standardization • For scale out • Has done all of this with a paltry 99.95% uptime SLA
31. Quick Aside: Amazon is a FACINATING Company The Everything Store: Jeff Bezos and the Age of Amazon http://www.amazon.com/The-Everything-Store-Bezos-Amazon- ebook/dp/B00BWQW73E “Compared to tech's other elite innovators--Jobs, Gates, Zuckerberg--Bezos is a private man. But he stands out for his restless pursuit of new markets, leading Amazon into risky new ventures like the Kindle and cloud computing, and transforming retail in the same way Henry Ford revolutionized manufacturing.”
32. Innovation Case Study: Netflix • Founded in 1997 • Had an IPO in 2002 at $15/share, currently trading at ~$232/share • By 2007 had shipped >1B DVDs by mail to >10M subscribers • Also in 2007 introduced internet streaming of that same content • Today, Netflix accounts for 25% of all internet bandwidth in the US • They are 100% hosted on AWS, who is also one of their biggest competitors
33. Tying the Threads Together • AWS isn’t a technology innovator; it’s a business model and consumption innovator • Netflix isn’t a technology company; it’s a content creation and distribution company THEY WEREN’T AFRAID TO SKATE TO WHERE THE PUCK WAS HEADED
34. How Do You Know Where to Go? • Build a Rainbow Mansion • Find people who want to change the world • Put them together • Remove barriers: conservatism, insecurity, fear of failure • Reward success AND celebrate failure • Watch what happens
35. Questions to Ask Do you know where the data is that’s being created by your customers? Should’t You?
36. Questions to Ask Do you know what your customers want to do with the data they have created? Shouldn’t You?
37. Questions to Ask Do you have a plan to leverage the value of the data your customers think is important? Shouldn’t You?
38. Questions to Ask Do you have the ability to create the apps that will use the data your customers have created? Shouldn’t You?
39. Questions to Ask Do you have the teams and processes needed to nurture success and failure? Shouldn’t You?
40. More Opportunities, Less Adjacency
41. Jeramiah Dooley jeramiah.dooley@vce.com @jdooley_clt blog.vmforsp.com