“Predictive models are, increasingly, the tools we will be relying on to run our institutions, deploy our resources, and manage our lives. But … these models are constructed not just from data but from the choices we make about which…
Blog Archives
Book Report: Weapons of Math Destruction
Tagged with: bias, big data, Cathy O'Neil, Competitive and Market Intelligence, Deloitte, Duncan Stewart, exploitation, Facebook, false positives, inequality, machine learning, model interpretability, models, Nassim Nicholas Taleb, redlining, Smart People Should Build Things, Success and Luck, The Black Swan, Weapons of Math Destruction
Posted in Books, Everything, Math and Science
Posted in Books, Everything, Math and Science
A Morning with Deloitte: TMT Predictions 2018
On the recommendation of my former colleague Dan Deeth, I spent this morning down at the Tannery listening to Deloitte’s Duncan Stewart (@dunstewart) prognosticate on Technology, Media, and Telecommunications. Dan was unable to attend, as he was in Barcelona this…
Tagged with: 5G, AlphaGo, artificial intelligence, ASIC, augmented reality, automation, Dan Deeth, data reduction, DeepMind, Deloitte, Duncan Stewart, electric vehicles, Elon Musk, FPGA, Gartner, Global Internet Phenomena, Google, Hype Cycle, hyperloop, machine learning, media, Mobile World Congress, model interpretability, Pokemon Go, prediction, prognostication, self-driving cars, smart cities, smartphones, technology, technophobia, telecom, WaveNet, Weapons of Math Destruction
Posted in Everything, Math and Science
Posted in Everything, Math and Science
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