Building intelligent customer service

Data Science / Machine Learning / SVM / NLP / SherlockML

By Angus Williams, ASI Fellow, May 2017 Customer services can be frustrating. Whether it be negotiating menus over the phone, unsure which option fits with our query, or reading long lists of FAQs online, we can end up bored and irritated. Fortunately, forward thinking businesses that understand the power of…

Supporting STEM Education with Adaptive Learning

Machine Learning / Data Science / STEM / XGBoost / Education

by Valentina Salvatelli Studying science is very hard. Having a great tutor to help and motivate you, makes a real difference in the development of strong scientific and problem-solving skills. Unfortunately, the majority of students does not have access to any specialised and tailored STEM education. This often translates into…

Bringing real-life insights to retail stores

Data Science / Machine Learning / shopping behaviour / fuzzy string / hierarchical clustering algorithm / kernel density estimator

by Faye Cheung, ASI Fellow 2016 Understanding shopping behaviour has played a major role in the success and growth of online shopping. Online retailers are able to watch their users’ web activity - search terms, number of clicks and so on - which allows them to target advertising and product…

Magic Town

Data Science / news / Open Data

In the 1947 film Magic Town, a former basketball player starts his own market research firm. New to the business, he doesn’t have the means to compete with his larger more established rivals, so he’s intrigued to learn of a survey carried out in a small town called…

How to put out a fire using old reports

Data Science / Machine Learning / Algorithms / LFB / Natural Language Processing / Latent Dirichlet Allocation

by William Grimes, ASI Fellow 2017 Fires in London have been in steady decline since the 1980s. In 1987 fires in London killed 190 people, in 2016 the death toll due to fires fell to 36. Data is crucial in reducing fire fatalities even further. There are three main reasons…

The right energy at the right time

Data Science / Machine Learning / unsupervised learning / Algorithms / k-means clusteriing / sinusoidal model / Fourier Theorem / energy / usage patterns

by Archy de Berker, ASI Fellow 2017 We take for granted that with the flick of a switch we can turn on a light, make a cup of tea, and turn on the TV to watch Game of Thrones each Friday evening. All of this requires energy. But more than…

Burns Bot Part 2: Building a Slackbot

Artificial Intelligence / Data Science / Machine Learning / Robert Burns / GitHub / Markov chain models / Bots / Slack / Chatbots

In the previous post we discussed using Markov chain models to generate pseudo-poetry. But data science is not just about writing algorithms which give you a warm feeling and make your grandma swallow her dentures with admiration. A good project culminates with productionisation: packing your data science into a format…

Teaching a computer to write poetry: building a Burns Bot part 1

Artificial Intelligence / Data Science / Data Scientist / Data science projects / ASI / Fellowship / Machine Learning / Artificial Intelligence Data Science Machine Learning / creativity / poetry / Markov chain models / Robert Burns / Scotland

Robert (or Rabbie) Burns was a Scottish poet whose corpus includes ‘An Ode to A Haggis’ and the New Year’s Eve favourite ‘Auld Lang Syne’. Each year on January 25th people throughout the UK come together to celebrate his life, for a night that typically revolves around two of…

The Future of Policy

Machine Learning / unsupervised learning / Policy / Data Science / government

Setrak Balian, ASI Data Science, London Imagine a virtual world in which policymakers can try out different policies without having to suffer the real-world consequences. ASI Data Science teamed up with HM Department for Education to build a simulated world of teachers and schools in order to investigate effects of…

Untangling the network of rogue landlords

Data Policy / Data Science / Data Strategy / Data Scientist / Careers / ASI / Fellow / Machine Learning / Artificial Intelligence / Particle Physics / Lambeth Council / Rogue Landlords / Automation / Greater London Authority / Local councils

I’m making the move from particle physics to data science because I want my skills to have a more direct, positive impact on people. My project with ASI Data Science and Lambeth Council gave me that chance. Rogue landlords in the UK illegally make £4.2 billion pounds per…