This is a short (half-hour) "thought leadership" talk, where I give my impressions on what I feel are current trends in industry and society today. In particular, I believe that learning to code is taking a much higher precedence than before. Similarly, cloud computing is becoming pervasive and will make traditional desktop software (installation) a thing of the past. Finally, with the proliferation of the massive amount of data being generated daily with Facebook, Google, Twitter, and even SMS/texting and IM/chat, there is a greater need and growing demand for data science, deep analysis and queries. New analytics technologies today will allow us to ask questions we weren't able to in the recent past. I generally deliver this talk to university and pre-university/K-12 audiences, on-campus or at academic conferences, i.e., at TJHSST near Washington DC, the National University of Singapore, the Congresso Brasileiro de Software (http://www.each.usp.br/cbsoft2011/ingles/cbsoft/palestra_cbsoft_en.html), and at Google's Computer Science Summer Institute (CSSI, google.com/intl/en/jobs/students/proscho/programs/uscanada/cssi).

1. The Future Of
Computing
+Wesley Chun / @wescpy
Developer Advocate, Google
Fall 2013
goo.gl/GvoTdj
I Code
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2. I Write
I Teach
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3. About You and This Talk
Professional in Industry, Education,
Government
Open minds
Envisioning the future & possibilities
Sharing my thoughts and experiences
The Future of Computing
The Future of Computing
Anytime/anywhere Computing
Anytime/anywhere Learning
Programming
Cloud Computing
Big Data + Smart Apps
Data Science & Analytics
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4. Anytime/anywhere Computing
Desktop
Laptop
Mobile
Tablet
Smartphone
Web
Online
Offline
24x7
Social
Too connected?
Anytime/anywhere Learning
Flows down from anytime/anywhere computing
Many avenues for online learning
Education undergoing renaissance of sorts
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5. Do you doubt this?
Khan Academy
Udacity
Coursera
edX
Codecademy
CodeSchool
LearnStreet
The Future has Programming
Not going to show you code today
But it will be everywhere
Effort: society needs to learn coding
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6. Code.org
Code for America
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7. Do you doubt this?
Khan Academy
Udacity
Coursera
edX
Codecademy
CodeSchool
LearnStreet
(What are generally their first courses?)
Start anywhere
Many options
Scratch/Tynker, Alice
App Inventor
Lego Mindstorms, RaspberryPI
Python, Ruby
Javascript (plus HTML5, CSS3)
Google Apps Script
Java: Minecraft
Choose based on age, skills
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8. Tools
App Inventor
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9. Extends model: mobile, adults
Python
Simple & robust... why?
Python's origin & its creator
Programming should be taught to children
At same time as reading, writing, math
Computer Programming for Everybody (CP4E)
Does not require Computer Science background
One of Google's official languages
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10. Javascript & Google Apps Script
Java & Minecraft
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11. Slipped a Mickey
Past 2 slides
Networking... wait
How did it get in there?
Now we need to talk about the Web
How the Web works
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12. It's all out there
Our lives are online now (better or worse)
Your bank accounts, travel plans, etc.
Your Facebook, Twitter mobile apps
Think all your data lives on phone?
Think again. Think different(ly).
Web fundamental shift
Desktop software all installed on machine
On the web, you only have a browser
All the software lives elsewhere
"In the cloud"
This is the future (it's here now!)
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13. Cloud Computing
PaaS Power!!
PaaS: most powerful cloud service level
Takes care of IaaS
OS, webserver, database, scaling, ...
Removes rigidity of SaaS
Don't like Hotmail or YouTube?
Make your own apps. How? Programming!
We've come full circle
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14. Programming. Python. PaaS.
App Engine, Azure, Heroku
Build your app (pick language)
Upload it to Google, Microsoft, Salesforce
They host for you
Your app in same datacenters as...
The Cloud
You don't need to buy machines
You don't need to manage equipment
(Who wants to maintain old equipment?)
You just create the app
In fact, it's a SaaS app(!)
Reachable (almost) worldwide!
(Nearly) armchair production
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15. Big data
Massive explosion of data
Phillip Long & George Siemens (EduCause,
2011)
Marcia Connor (Fast Company, 2012)
Tim O'Reilly (2003-2013)
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16. Long & Siemens
Big data is "[a] byproduct of the Internet, computers, mobile devices, and
learning management systems (LMSs)"
"Listening to a lecture or reading a book leaves limited trails. A hallway
conversation essentially vaporizes as soon as it is concluded."
"[Every] click, every Tweet or Facebook status update, every social
interaction, and every page read online can leave a digital footprint."
"Additionally, online learning, digital student records, student cards, sensors,
and mobile devices now capture rich data trails and activity streams."
"[Learner-produced] data trails provide valuable insight into what is actually
happening... and suggest ways in which educators can make improvements.
educause.edu/ero/article/penetrating-fog-analytics-learning-and-education
Marcia Connor
2012: 2.5 quintillion (10^18) bytes of data created
90% of world's data created in the last two years alone
Producing more data daily than was seen since
beginning of time
Email: 144.8 billion/day
Twitter: 340MM+ tweets/day
YouTube: 100 hours/min
Google: 2MM+ search queries/min
Facebook posts, Instagram photos, etc.
j.mp/BigDataMuscles
marciaconner.com/blog/data-on-big-data
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17. Tim O'Reilly
"Big data is what happened when the cost of storing information
became less than the cost of making the decision to throw it
away." [quoting personal email correspondence from George
Dyson, 2013]
twitter.com/timoreilly/status/314222624756609025
"[Companies] that have massive amounts of data without
massive amounts of clue are going to be displaced by startups
that have less data but more clue...." [2011]
plus.google.com/+TimOReilly/posts/4Xa76AtxYwd
"Data is the next Intel Inside." [2005]
oreilly.com/web2/archive/what-is-web-20.html?page=3
"We're entering a new world in which data may be more
important than software." [2003]
paradox1x.org/2003/07/tim-oreilly-on
Cloud: big data access
Big data needs processing
NoSQL/Non-relational databases
MapReduce, Hadoop, etc.
Big data needs analyzing
Data Science is a major...
Data Scientist is a job!
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18. Lots of data requires...
Analysis
Intelligence
Google BigQuery
Analyze terabytes of data in seconds
Not hours, not days
http://bigquery.cloud.google.com
Take a tour!
cloud.google.com/bigquery-tour
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19. Smart apps
Google Prediction
Multiple machine learning algorithms
Helps apps be more intelligent
Google Prediction
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20. How does it work?
Endless Number of Applications
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21. Need humans?
Amazon Mechanical Turk
Human power marketplace for work
"Artificial Artificial Intelligence"
Workers
Work from home (home-sourcing)
Choose your hours, get paid
Requesters
Create work (tasks/"HITs")
Global on-demand 24x7 workforce
Pay when work completed
mturk.com
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22. Conclusion
Desktop software will "PaaS"
Cloud computing and the Web == The Future
Google Apps just the start
Why is Google making Chromebooks?
Not just Google either!
The future
Everyone online anytime/anywhere
Everyone learns anytime/anywhere
Everyone codes
Cloud + Big Data + Smart applications
Data science, deep data analytics
Why everyone code? (code.org)
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23. Thank You! Q&A
+Wesley Chun
Google, Inc.
wesc+api@google.com
@wescpy
goo.gl/GvoTdj
FINIS
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