Close, but no cigar

Barclays & Digital Catapult National Business Challenge EventAt very short notice – and that was our fault entirely – we found out about the Barclays and Digital Catapult Challenge. As described by them, the challenge was designed to allow Barclays to reach out to innovative tech companies and help design and build solutions. The link […]

Know thy Neighbour

Sometimes it can be hard to visualise what text analytics can really mean – a lot of the time our brains seem to stop at keyword counting. Here’s one way of taking things a little further. Evolving Relationships A client had an interest in determining if relationships existed between various corporate entities. We can easily […]

Financial Disclosure: scanning for risk

We’re obviously very interested in financial disclosure. I say ‘obviously’ well-aware that our purist technical trader friends are interested in nothing but price, however let us assume that the disclosure information has function, and leave ideas about predictive capabilities for another time. Roughly stated, US companies accessing the capital markets need to file regularly with […]

Privacy Algorithm: have you cheated?

A short blog about a cute algorithm we came across whilst reading on Bayesian Methods, a theme we may develop here as we build upon our machine learning skills. We want to know the level of cheating in the population. I think it’s safe to say that fewer cheats than reality – regardless of any […]

Glorious Ambiguity: context is all

English of course not only has ambiguity, but is all the richer for it. I’m sure there’s good evolutionary social science making the case for ambiguity being absolutely essential for the success of a language, but we all instinctively know why this is so. We all value occasionally not quite meaning what we say. Latent […]

The rich are different

As part of an exploratory dialogue someone from our old world (longevity) asked if we might use some data intelligence to tease out a relationship. The relationship in question was individual wealth versus size of life insurance policy. The relationship mattered because an investor holding longevity risk will see her returns suffer (substantially) as the […]

Harvesting medical data: a small project

Going through some old files I came across this piece of work we performed for a client some time ago – Search Project “…specific/sensitive biomarkers in certain cancers from the scientific literature and other online sources. For example might we be able to search in pancreatic or lung cancer for reports of biomarkers with say […]

gScore: some fun

We do occasionally allow ourselves some fun in the office (data-driven of course!)… Climbing App As you probably (don’t) know, Matt and I are avid climbers, and it seemed to us that there was no easy way of logging all your hard yards, 7c’s and broken fingernails over at the climbing wall. Hhmm, data, relationships, […]

Machine Reading

Grabbing electronic data from public sources is all very well, but what about processing and analytics? Any data type will succumb to analysis, pictures, sounds – you name it – but for now we will stick with numbers & words. And because it is not something that investors do every day, we’ll focus on the words first. […]