WHAT WE DO
Our proprietary machine learning platform, Pythia, can be used to develop a range of Machine Learning algorithms to create and stress-test the best performing model for particular use cases in a short space of time.
Our Machine Learning solution offers a practical approach to help tackle some of the key obstacles organisations are facing today:
To make the best possible decisions about your business, it’s imperative to base them on a rigorous understanding of the current picture. Machine Learning techniques can be used to reveal hidden insights to help inform and improve strategic decision-making. Some of the aspects of these insights that Pythia can help with include:
Predictive analytics is rapidly becoming the most powerful way to use available data to enable optimal decisions now, based on future predictions. Key use cases for our clients include:
Effective risk management relies on the suitability of underlying risk models. Machine Learning and analytics solutions not only optimise and streamline the modelling process—thereby saving time and money—but can also help to reduce model error. Some of the use cases where we can help clients include:
Contact us today to discover how Lux can provide bespoke solutions to optimise and enhance strategic decision-making within your business.
Lux Actuaries has developed the Lux Conflict, War and Strife (CWS) Predictive Model which has been designed to assess the risk of future armed conflicts globally, considering a multitude of indicators that cover all areas of development, governance and overall socio-economic strength of countries across time. This blog post discusses feature importance analysis - a key strength of the Lux CWS model - which helps to elucidate some of the black-box workings typical of most machine learning models.
East Africa and Kenyajoseph.firstname.lastname@example.org
North Africa - Egyptahmed.email@example.com
North Africa - Francophonemohammed.firstname.lastname@example.org
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