Can you spot the difference between a good Data Visualisation and a poor one? Have you ever been misled by a chart simply because of how it was presented? Do you simply want to laugh at some catastrophic creative failures? Read on.
Named after the Butler in Batman, Alfred promises to be a solution for all smart home enthusiasts like myself by integrating all my devices into a single platform. No more will I have to search for the Philips Hue app to control my lights, the Belkin or Geo apps to control my power sockets, or the Nest app to control my heating – Alfred can control all of my smart devices from a single interface…
Have you ever been caught in the cross-fire between the Business and IT? Do IT have too much power, do they not understand the needs of users? Are the Business a dangerous maverick bunch who should be restricted, controlled, and monitored – prevented from straying outside governance and policy? You decide.
Why do firms such as Google collect all this data on us in return for using apps and services for free? Could there be a better way?
So what’s the difference between an Algorithm and a Heuristic?
“A heuristic is an algorithm in a clown suit. It’s less predictable, it’s more fun, and it comes without a 30-day, money-back guarantee.”
The five key areas of thought before investing in Big Data. Above all, if you can follow the Golden Rule – you won’t go far wrong!
A blockchain is a transaction ledger where groups of transactions are encoded into ‘blocks’ then ‘chained’ together and distributed across the network. There are a number of features that make it special, in particular the fact that the blockchain is massively distributed.
Why can’t we automate the London Underground (and other mass transport networks)? Is safety really at risk, or is this just a smokescreen from the Unions? Could the threat of automation dissuade workers from taking industrial action in the future…?
The singularity, Asimov’s Laws, and Philip – a robot that’s even older than Arnie…
So what is a Data Scientist anyway? Are they just jumped up statisticians or does the term provide some greater insight into what they (should) be doing?