1. Engineering Serendipity
— “What we have been doing with Radar is finding a way for people to
use the app really without having to actually use it,” says Crowley.
Lessons from SXSW Interactive 2012
3. Ambient technology
— Search engines acting like near
intelligent agents quietly but
continuously collecting written &
spoken word information, and
proactively supplying relevant
contextual information
Lessons from SXSW Interactive 2012
4. TO DO LIST
— Personal
– Get your hands dirty
— Business
– Make your staff get their hands dirty
– A watching brief (for now)
Lessons from SXSW Interactive 2012
5. Big Data & “The End of Privacy”
Lessons from SXSW Interactive 2012
6. Big Data & “The End of Privacy”
1993
Lessons from SXSW Interactive 2012
7. Big Data & “The End of Privacy”
1993 2012
Lessons from SXSW Interactive 2012
8. WTF is „Big Data‟?
— The bit we‟re interested in today:
— Data sets also grow in size because they are
increasingly being gathered by ubiquitous
information-sensing mobile devices, aerial sensory
technologies, software logs, cameras, microphones,
RFID readers, and wireless sensor networks
Lessons from SXSW Interactive 2012
9. —data will grow by 50 times by
2020, driven in large part by
more embedded systems
IDC Study
Lessons from SXSW Interactive 2012
10. An aside: third party cookies on my laptop
Lessons from SXSW Interactive 2012
11. The End of Privacy?
— Historically, as small tribes of hunter and gatherers we had no
concept of privacy. Then, as we became rooted in towns and
villages, we continued to live primarily in the public square where
everyone “knew our business.” With industrialization and the
development of large dense urban areas, privacy was possible for
the more privileged members of society and then, finally, for all of
us. We have come full circle. Again, we live our lives in a public,
although now digital, square…
Terence Craig,
CEO and CTO of PatternBuilders, a big data analytics companies
Lessons from SXSW Interactive 2012
12. Zuckerberg‟s Law and Facebook‟s
$100B Privacy Dilemma
— "every year,
for the
foreseeable
future, the
amount of
information
you share on
the Web will
double.“
Lessons from SXSW Interactive 2012
13. Imagine how much better
search would be if we
added… you.
Larry Page, April 2012
Lessons from SXSW Interactive 2012
14. TO DO LIST
— Personal
– Get informed
– What do you get for free and why?
– What‟s a cookie? Maybe download the plug-in
– Check out an app like Geoloqi
— Business
– How does data relate to our core service offering?
– What data DO we handle for clients
– What data COULD we handle
– GET ACCREDITED – Data Seal
Lessons from SXSW Interactive 2012
16. War on many fronts
— Devices
— Mobile operating systems
— Social
— Online advertising
— Connected TV
— Commerce
Lessons from SXSW Interactive 2012
17. Open Web vs Walled Gardens
— The “old” Internet is shrinking, and being replaced by walled gardens over
which Google’s crawlers can’t climb.
John Battelle
— "Every time somebody puts a magazine on a phone [via a
native app] now ...we lose a whole lot of information to the
general public discourse – I can't link to it, so I can't tweet it, I
can't discuss it, I can't like it, I can't hate it.“
Tim Berners-Lee
Lessons from SXSW Interactive 2012
18. Strategic Acquisition(s?)
— The most challenging problem we
have right now is discovery of
video... we need to solve discovery
on YouTube and social is a natural
enabler“ – David Lawee, VP M&A,
Google
Lessons from SXSW Interactive 2012
19. TO DO LIST
— Personal
– Too late, they already own you
— Business
– Revisit the first „to do list‟, highlight and underline
MAKING MONEY FROM MOBILE
• Mobile optimised web content
• Mobile Search
• Native vs non-Native Apps
• Brand utility
Lessons from SXSW Interactive 2012
20. Tyranny of the screen
Lessons from SXSW Interactive 2012
33. — Miro‟s Uncanny Valley
— Jimmy and the Gin & Tonic Test
— Free will is an illusion
Lessons from SXSW Interactive 2012
Notes de l'éditeur
Engineering discovery is a complicated one to solve. For example, it’s a combination of knowing not just where you say you like to shop, but where you’ve actually shopped; not just where you say you like to dine, but where you actually dine. It also needs to know what sort of activities you would want to attend , then ping you accordingly. It needs to tell you of a concert only when there are still tickets left. It needs to know personal details like your shoe size, shirt size, dress size, and then check the in-store inventory levels before it ever bothers you about a nearby sale. And so on. It needs intelligence. Otherwise, the damn thing will be way too annoying. http://techcrunch.com/2012/03/30/522411/
Smartphone sales overtook PC sales in the fourth quarter of 2010
Say you’ve been studying computer science for awhile like me, then the information you need won’t be that helpful to a relative novice and vice versa. If you’re searching for a particular person, you want the results for that person—not everyone else with the same name. These are hard problems to solve without knowing your identity, your interests, or the people you care about.
Interesting juxtaposition, ‘sharing’ rising as the internet is compartmentalised