Data science and AI eNewsletters
Read previous editions of our Data Science and AI bi-monthly eNewsletters.
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October -December: Year in Review
September: Machine learning research developments and concerns over commercial data collection
July: Sentient chatbots, AI ethics, and AI ethics guru Chris Dolman joins the Driven by Data podcast
June: AI regulation by the European Union
May: Pre-Election analysis of the political 'Twittersphere
April: Next level AI image generation
March: Big data and the digital economy
February: Fired by 'algo' and impossible victories
January: Planning ahead, Life data and why competitions are good practice
December: Machine Learning in credit risk model, information resilience and a sustainable world
November: State of Data Science, Bank Python and Metaverse
October: Facebook whistleblower, Kaggle and hybrid work trends
September: The first rule of machine learning, ethics and identifying snake oil
August: Olympics, ModelOps, AI as an inventor, and more
July: Machine learning explained, natural language programming, and more
June: Starting out, Python vs. R and more
May: Practical Project Delivery
April: AI integration with our lives
March: Disillusionment and Enlightenment
November: Holiday Development Ideas
October: US Election, Podcast, Kaggle and More!
September: Review of papers and coverage from the 20/20 All-Actuaries Virtual Summit, and latest commercial developments in the industry.
August: Diversity in the context of data analytics and how that can lead to better models
July: CPD opportunities – with a technical and business focus
June: Ethical issues: facial recognition, algorithmic fairness, de-identification of data, and the trust placed in the actuarial profession by the community
May: Useful learnings for after COVID-19
April: Professional development opportunities during the COVID-19 social distancing period
March: Working remotely, and Actuaries Digital narrows in on COVID-19 pandemic
