A blog on analytics and risk
When I began my MSc in Business Analytics in October last year, I couldn’t have foreseen how the disruption we’re currently living through would shape my learning experiences. First Semester – The beginning. I chose ...
Strong technical skills and a firm code of ethics are central in using data science to drive positive value for business and society. This week I’ve embarked on a personal journey to further develop my ...
From climate change to healthcare, computer algorithms are being developed to help solve some of the world’s biggest problems. But will we understand the answers? An article published yesterday presents this challenge – if we’re ...
It’s great to see John Taylor championing data science within the actuarial profession as he begins his term as IFoA President. Actuaries are uniquely placed to leverage the latest data science techniques. We can combine ...
When I began my MSc in Business Analytics in October last year, I couldn’t have foreseen how the disruption we’re currently living through would shape my learning experiences. First Semester – The beginning. I chose a course with online delivery to allow me to study whilst working full-time. I was excited to be a trailblazer ...
Strong technical skills and a firm code of ethics are central in using data science to drive positive value for business and society. This week I’ve embarked on a personal journey to further develop my analytics skills. Over the next 2 years, I’ll be studying an MSc in Business Analytics at Imperial College alongside my ...
From climate change to healthcare, computer algorithms are being developed to help solve some of the world’s biggest problems. But will we understand the answers? An article published yesterday presents this challenge – if we’re using computers to solve some of the key questions in life, then we need to be able to understand the ...
It’s great to see John Taylor championing data science within the actuarial profession as he begins his term as IFoA President. Actuaries are uniquely placed to leverage the latest data science techniques. We can combine these with our strong understanding of business, finance and risk management. By embedding data science into our actuarial work we ...
Last month, ethics guidelines for trustworthy AI were presented by the European Commission’s High-Level Group on AI. They highlight the principle of fairness as one of the 4 ethical principles for trustworthy AI and provided a pilot assessment list to help stakeholders verify that key ethical requirements have been met in operationalising AI. One area ...
Health service, everyday (wearables & IoT) and genomic big data could be harnessed to forecast and overcome bottlenecks in the health system. Read my article on Divining with Data published in the April 2019 edition of The Actuary magazine.
1. Improvements in AI driven by further advances in machine learning techniques As more health-care specific algorithms are developed, automated clinical decision making is likely to improve. There’s potential to use AI in diagnostics, preventative care and medical treatment. Detecting different types of brain trauma is just one promising future use of AI. 2. Embedding ...
This week, I’ll be presenting at the Erasmus+ Jean Monnet Conference on Competition, Big Data and Fundamental Rights on the topic of leveraging big data to transform healthcare through predictive modelling. I will look at how big data sets are already being used in predictive models to improve healthcare. I’ll also be exploring the challenges ...
The chronic disease burden is continuing to rise – with record numbers being diagnosed with conditions including cardiovascular disease, diabetes, cancer, chronic respiratory disease and mental illness. In developed countries, chronic diseases are often the most expensive health conditions to treat and they account for more than 60% of deaths worldwide. An increase in physical ...
On 28 November, I’ll be presenting my latest research paper for the IFoA on the topic of Using Predictive Analytics to Improve Healthcare Demand Forecasting. In simple terms, predictive analytics is the process of learning from historical data to make predictions about future unknowns and can involve either supervised or unsupervised learning. The paper looks ...
