6 questions to consider when in the path of the oncoming robot overlords.

There are some amazing developments emerging into the mainstream as a result of technologies badged variously as Artificial Intelligence, Machine Learning, Robotics, Natural Language Processing and other whizzy-sounding titles. But alongside any new wave of technology comes a tsunami of marketing hype, overblown expectations, silver bullets and rainbow-pooping unicorns. Non-technologists and technologists alike need to … Continue reading 6 questions to consider when in the path of the oncoming robot overlords.

How big is your data lake?

Much of yesterday was spent at an ERP vendor event listening to the usual combination of analyst ("cloud is good, data is great"), vendor ("you should buy or product") and vendor client ("you should buy their product because we did") speakers. One big theme is that AI and machine intelligence will enable companies to achieve … Continue reading How big is your data lake?

Infinity & beyond

More discussions yesterday about the somewhat antediluvian world of records management. Something struck me... In times of yore when documents were printed on the back end of a goat, they were expensive. The only things that were created had significant filtering before creation because of the cost of vellum and scribes and that lovely gold … Continue reading Infinity & beyond

Disposing the future

I've written in the past about the stack of old, bound editions of the magazine Punch that appear to be the closest my branch of the Ballantines have as a legacy to pass from generation to generation (if only I'd been part of the distilling branch of the family). Whilst interesting, the archive is strangely … Continue reading Disposing the future

Machines learning

A fascinating evening last night, at the invite of Mark Smith at LexisNexus, I was given the opportunity to speak with a group of law firm knowledge managers and, as is my style these days, get them to play with Lego for a bit. As the conversation evolved over dinner, one of the participants said … Continue reading Machines learning

The everyday sexism of AI

I'm currently preparing a talk for a group of HR professionals on the subject of AI, machine learning and robots. My opening gambit is going to be that robots have already taken over our houses and have us enslaved. A strong pitch. What are these robots of which I speak? Well, you probably know them … Continue reading The everyday sexism of AI

Trust in Algorithms

Another day, another airline algorithm atrocity - this time not a doctor being hauled down the aisle by United, but a ten year old child being barred from travelling with his family by Air Canada. For all of the talk about PR disasters and customer service woes, in our automated algorithm obsessed world one dialogue … Continue reading Trust in Algorithms

Flavours of cloud

For my sins I seem to have spent a fair bit of time in the company of sales people from the big ERP vendors in the last few weeks. One of the last bastions of on-premise thinking, enterprise resource planning (AKA "the finance system") is starting to see its transition into the world of Software … Continue reading Flavours of cloud

Driverless trains

If we are on the cusp, according to the likes of Elon Musk, of all being whisked around in the comfort of autonomous vehicles, why aren't our train systems already ubiquitously automated? Whilst I have no doubt that driving a train is a challenging task, presumably without the need to actually steer surely the challenges … Continue reading Driverless trains

Back doors

The recent hubbub in politics about security services back doors into end-to-end encrypted messaging service has got me thinking. Putting aside the issues of technological impossibility, as we enter into a world in which more and more devices are connected, a storm of questions about the morals, ethics and necessity of back doors into thingsĀ could … Continue reading Back doors