How Can the Financial Services Industry Trust AI?
How can financial services teams scale AI/ML in a manner that promotes confidence, increased automation and financial returns? And what does AI in […]
Shaping the Future of Climate Change with ML in Financial Services
Back in 2015, the Paris Accord was set out to protect us from the progressive impacts caused by global warming before the […]
How Covea made an 11x ROI detecting fraudulent insurance policies
Covéa Insurance Plc is the UK underwriting business of leading French mutual insurance group Covéa, and offers commercial, motor, high net worth, property […]
Explainability in Machine Learning
Machine learning is becoming an integral part in how the modern world functions. The collection of data has increased exponentially alongside advances in […]
Bias vs Fairness vs Explainability in AI
Over the last few years, there has been a distinct focus on building machine learning systems that are, in some way, responsible […]
Distributed Black-Box Explanation with Ray
Advances in computer architecture have led to state-of-the-art performance of machine learning models in fields such as text and image classification, disease […]
How Seldon’s Alibi and Ray make Model Explainability Easy and Scalable
Written by Seldon’s Alexandru Coca and Anyscale‘s Bill Chambers Serving models at scale is only part of the battle. In general, you’re […]