IFoA members – Please login to the IFoA's Virtual Learning Environment (VLE) and watch the recordings there. You can also access specific recordings by clicking on the individual titles below.
If you are not a member please contact vle.admin@actuaries.org.uk to process your order.
2021 |
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Certificate in Data Scinece - One year on In June 2019 John Taylor as President, announced the IFoA would launch its Certificate in Data Science In April 2020. Since then, the IFoA has run three cohorts of examinations and just under 400 members have sat the Certificate in Data Science. In this webinar we catch up with John, and hear from Josephine Robertson, Sam Blanchard, and Charchit Agrawal all of whom participated in the new Certificate, to share how they have applied the knowledge they have gained in their respective workplaces. We will also hear from Philip Darke who will discuss how Data Science is impacting actuarial work, before finally looking at the IFoA’s next developments in data science education. |
2020 |
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Data Science in Banking - Opportunities and Risks In this webinar, the speakers discussed developments in various geographic areas and considered ethical issues in data science. |
Data Science Webinar Series Artificial Intelligence in Actuarial Work This webinar provided insight into the emerging technologies that will interact with the actuarial profession in order to provide a frame of reference for actuaries to use in performing actuarial work, such as AI in motor insurance pricing, in loss reserving, in mortality modeling, in underwriting and in fraud & claims. Communicating Data Science The aim of this webinar was to give actuaries an approach and checklist of considerations for communicating the results, methods, and technical specifics of a machine learning model to relevant parties. Data Science & AI in Banking Risk Management An introduction to Data Science & Artificial Intelligence, changes across the banking sector. Machine Learning in Portfolio Management In this session, speaker Jiajia presented a case study applying “Q Learning” method in portfolio management optimization. Next-Gen Insurance leveraging partnerships and advanced analytics Gives an overview of evolving customer needs, use of advanced analytics across the insurance value chain, considerations to engage in data-driven partnerships, and a glimpse into AXA’s ongoing transformation journey to become a data-driven and tech-led company. Modular Framework of Machine Learning Pipeline In this presentation John introduced a modular framework of streamlining analytics and machine learning workflow in enterprises. The role of data science in customer-centric insurance Showcasing ML, AI and Natural Language Processing techniques, this presentation showcased a journey in travel insurance combining external online insights with free text data and help build products that meet expectations of regulators and customers. Why data science and AI needs us more than ever Using Data Analytics for P&C Growth and Profit Optimization This webinar covered the overview of combining portfolio data with external data and looked at the Why? What? How? and discussed some of the latest trends around the world. |
Introduction to Data Science MIG- Professionalism, Regulation and Ethics This webinar provided an overview of research undertaken within the Data Science MIG with focus on one work stream “Professionalism, Regulation & Ethics”. It also gave an overview of the key topics, exploring what TAS 100 means for data science algorithms, why you might need to take more care with data science to avoid breaching regulatory requirements, and which ethical considerations are relevant to data science. |
AI: A red eyed terminator or an actuary's best friend? Despite long-running concerns that innovation could lead to widespread redundancy, technology has enabled greater productivity, created higher-value jobs and spurred us on to new heights. With artificial intelligence increasingly automating work undertaken by professionals, I look at the prospects for the actuarial profession in the era of unprecedented technological innovation. Whilst this “double-edged sword” will see some traditional actuarial tasks being automated, I contend it will create more opportunity for actuaries to contribute to a broader range of important issues such as climate change and consumer finances. Moreover, the prevalence of data provides a platform for actuaries to make a difference outside the traditional sectors of insurance and pensions. |
How actuaries can optimize usage of data science techniques within their sectors The world of Data Science continues to exponentially grow with unknown limits and where it can reach. However, without data we will all still face these challenges in our day to day life. The aim of the event was to demonstrate how we can optimize the usage of data science techniques within the actuarial domain across our sectors covering the following six areas: IFoA Data Science certification program • General Insurance • Life and Health • Insurtech • Ethics & Regulation • Data Strategy in the following sessions available to view on the IFoA's Virtual Learning Environment: Establishing a Data Strategy:Data Culture, Data Management & Data Risks Machine learning applications to non-life pricing General Insurance: Making machine learning techniques interpretable Data Visualisation in Insurance Pricing and commercial applications in Life/Health insurance Capital Proxy Modelling with the use of Machine Learning Algorithms Enterprise Machine Learning Pipeline The practical applications of IoT in Life Reserving |
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