2. An Era of Possibilities
• ‘What is impossible or
unthinkable today in
terms of data volume,
velocity, variety and
complexity, won’t be five
years further down the
road.’
5. Can Innovation Come to the Rescue?
• 1875 Gas Lamp
• 1929 Electrification Ubiquitous
• Electricity Liberated Women
Washing & Refrigerator
• 1950 Central Heating
• Power Tools
• Computers
6. The Road to Context Computing
• Electrification –The 2nd
Industrial Revolution
• Computing – The 3rd
Industrial Revolution
• Robotics & AI – The 4th
Industrial Revolution
and the New Machine
Age.
• An Era of Context &
Pervasive Computing
• Quantum, Nano,
Graphene, Drones,
Clouds,
Instrumentation,
Smart Homes, 3D
Printing, Genomics,,
Big Data and Machine
Learning, Wearable
Computers
• Datification &
Analysis
17. ‘I’d rather Be Vaguely Right than Precisely
Wrong.’
9/23/2014 17
• Business Model Has Changed
• No longer “all employee” – now includes
contractors, partners, vendors
• No longer all “on premise” – there is no
perimeter
• Data Model Has Changed
• No longer mostly structured – now
largely unstructured
• Platform Model Has Changed
• No longer strictly enterprise (e.g.,
mainframe, client / server) – now
includes mobile, cloud, big data
platforms
18. The Megatrends
• Networks/Social Media
• Unbundling
• Mobile Devices
• Sensors
• Location-based Services
• Big Data
• Trust/identity
• Biology/Genomics
19.
20.
21.
22.
23.
24.
25. Analytics is not about
trying to use the
numbers to prove a
theory but to see what
the numbers actually
tell us
26. A Game of Two Halves
• 89% of shots on goal produced
from corner kicks are wasted.
• The team that shoots more
actually wins less than half the
time
• The team that gets to shoot first
has won just over 60 % of the
contests.
• The best defence will win a
championship 46% of the time,
with the range, from a low of 40
% in the English Premier League
and La Liga, to a high of 55 % in
Italy
27. “The future is already
here. It’s just
unevenly distributed.”
William Gibson
Sensors exist everywhere on Earth, as well as above and below it. Instead of killing canaries in mines, we now use sensors to detect problems and alert people.
.
Soon, students won’t understand why an advanced analytics environment and a data environment were ever separate. They won’t differentiate between a storage environment and a data analysis environment
Data is irrelevant without being put into context and put to use. Within a big data feed there will be some information that has long-term strategic value
In football, goals are rare and draws are common. That combination makes setting odds in football much more difficult, and makes favourites less likely to win.
Analytics is not about trying to use the numbers to prove a theory, but to see what the numbers actually tell us, to discover if our beliefs are correct, and if they aren’t, to inform us what we should believe instead.