An era of possibilities, a window in time
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This document discusses the rapid pace of technological change and innovation. It notes that what seems impossible today in terms of data and computing power will be commonplace just a few years later. A list of technologies from the past 200 years shows how innovation has transformed industries and liberated women from domestic work. The document outlines several ongoing megatrends, such as networks, mobile devices, sensors and big data, that are driving the next industrial revolution through context-aware and pervasive computing using technologies like quantum computing and drones. It emphasizes letting data and analytics, rather than preconceptions, guide decisions about new opportunities.
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An era of possibilities, a window in time
- 1. “Slowly and then Suddenly” Simon Moores
- 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
- 9. 2005 — 128 MB 2014 —128 GB (1,024X more storage)
- 11. 1 2 4 8 ...
- 17. ‘I’d rather Be Vaguely Right than Precisely Wrong.’ 10/8/2014 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
- 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
- 28. “History Doesn’t Repeat Itself but Sometimes it Rhymes.”
Editor's Notes
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- 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.
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- 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.