Simon Moores IT Weekend Ukraine
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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 emerging technologies like robotics, AI, and context computing that will drive the next industrial revolution. It argues that business, data, and platform models are all changing due to new technologies and the shift to mobile, cloud, big data.
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Simon Moores IT Weekend Ukraine
- 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, wont be five years further down the road.
- 4. Storm Coming
- 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. Id 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
- 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. Its just unevenly distributed. William Gibson
- 28. History Doesnt Repeat Itself but Sometimes it Rhymes.
Editor's Notes
- #21: .
- #22: 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.
- #25: .
- #26: Soon, students wont understand why an advanced analytics environment and a data environment were ever separate. They wont 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 arent, to inform us what we should believe instead.