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    <title>Category: IACA / CONSULTING - actuview - the international streaming platform for actuaries</title>
    <description/>
    <link>http://https://api.actuview.com/</link>
    <language>en</language>
    <copyright>AMC - Actuarial Media Center GmbH (c) 2020 - 2021</copyright>
    <item>
      <title>Critical Point – A Milliman Podcast: So You Want To Be a P&amp;amp;C Actuary?</title>
      <link>https://api.actuview.com/video/critical-point-a-milliman-podcast-so-you-want-to-be-a-pc-actuary/2c224da91c9b32ebde48df46d1654497</link>
      <description><![CDATA[&lt;p&gt;From climate change to self-driving cars, hear the range of projects two actuarial consultants are working on, the soft skills that have helped their careers, and more advice for students and non-actuaries who want to enter the profession.&lt;/p&gt;]]></description>
      <pubDate>Thu, 26 Mar 2026 12:31:41 +0000</pubDate>
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    </item>
    <item>
      <title>Earth, Wind and Fire – Finding and Using Climate Data</title>
      <link>https://api.actuview.com/video/earth-wind-and-fire-finding-and-using-climate-data/392dfe05a3d731ca03a0536ec7a51e40</link>
      <description><![CDATA[&lt;p&gt;Climate data is everywhere. Accessible climate data for actuarial modeling, not so much.Building on the American Academy of Actuaries’ paper &quot;Climate Data: Actuarial Perspectives on Quality, Challenges, and Effective Risk Quantification&quot;, this webinar explores the current landscape of climate data through the lens of various actuarial practice areas.The presentation highlights significant issues regarding data quality and availability, specifically addressing blind spots such as the reporting lag bias in Property &amp;amp; Casualty loss data and the complexity of attributing Life and Health experience to climate changes or weather events. By identifying these cross-practice data gaps, the discussion focuses on potential approaches for improving data accessibility, integration, and usability to support future pricing, reserving, and effective risk quantification.Speakers:Peter Ott has been in the insurance and reinsurance industry since 2012 and currently serves as a Director at Howden Re. He is Vice-Chairperson of the Climate Change Joint Committee and Chairperson of the Actuaries Climate Index Work Group of the American Academy of Actuaries.Daniel Pribe is a seasoned actuary with over 35 years of experience in the healthcare sector and founder of Iris-Edge. He is a member of the Society of Actuaries Board of Directors and a Fellow of the Society of Actuaries. Moderator:Marc Slutzky is an actuary with more than 50 years of experience and a Board Member of IACA. He is a Fellow of the Society of Actuaries, a Member of the American Academy of Actuaries, and a Chartered Enterprise Risk Analyst. &lt;/p&gt;]]></description>
      <pubDate>Tue, 16 Dec 2025 11:27:55 +0000</pubDate>
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    </item>
    <item>
      <title>Actuarial Adaptation: Exploring New Roles for Actuaries in Response to Climate Change</title>
      <link>https://api.actuview.com/video/actuarial-adaptation-exploring-new-roles-for-actuaries-in-response-to-climate-change/b8f9b25a4d73924c4aaf282412e47258</link>
      <description><![CDATA[&lt;p&gt;This webinar will explore new practice areas for actuaries in the context of climate change. It aims to provide a broad overview of areas where actuaries can apply their skills and expertise to assist with climate change risks and opportunities, and thereby support the transition to a low-carbon economy, whilst also helping to manage the risks associated with such a transition (including not transitioning). The session will draw on current literature, case studies, industry practice and stakeholder interviews. The session covers current and potential areas of practice relating to climate risk management, risk and emissions modelling, insurance, finance and investments, strategy setting, governance, reporting and regulation, government, and other areas of corporate support. The webinar also addresses, at a high level, areas in which actuaries will be required to enhance their technical climate knowledge to enable actuarial practice.&lt;/p&gt;]]></description>
      <pubDate>Thu, 20 Nov 2025 14:14:16 +0000</pubDate>
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    </item>
    <item>
      <title>Transitions in Risk Management – Between Regulation, Efficiency and Real Added Value</title>
      <link>https://api.actuview.com/video/transitions-in-risk-management-between-regulation-efficiency-and-real-added-value/d30f78bbd01da529024abc7552a740b5</link>
      <description><![CDATA[&lt;p&gt;In the third episode of actupool insights, Mischa Pupashenko and Philipp Munz from Cominia Aktuarielle Services take stock after Solvency II and DORA: where processes still grind, and how to unlock synergies instead of building silos. They show how scale and consolidation bend the cost curve, why actuarial due diligence quantifies value and risk, and how governance keeps it safe. Pragmatic, candid, and focused on mid-sized insurers and pension funds, this conversation turns risk management from compliance cost into a strategic lever.&lt;/p&gt;]]></description>
      <pubDate>Mon, 03 Nov 2025 13:35:56 +0000</pubDate>
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    </item>
    <item>
      <title>Aligning Finance with Climate Goals</title>
      <link>https://api.actuview.com/video/aligning-finance-with-climate-goals/7e58b64d68d3a9c2b10554d671953cec</link>
      <description><![CDATA[&lt;p&gt;Aligning finance with climate policy goals is crucial for achieving net-zero greenhouse gas emissions and enhancing resilience to climate change. Policymaking and investment decisions aimed at such alignment must be informed by robust assessments.This webinar will present the best available evidence on three core questions:
&lt;ul&gt;
&lt;li&gt;How is the climate alignment of finance assessed?&lt;/li&gt;
&lt;li&gt;What do we know about current financial flows and stocks?&lt;/li&gt;
&lt;li&gt;What evidence exists on the role of financial sector policies and actions? &lt;/li&gt;
&lt;/ul&gt;]]></description>
      <pubDate>Thu, 16 Oct 2025 13:16:18 +0000</pubDate>
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    </item>
    <item>
      <title>The European Actuary No. 43 | Making Sense of Mediation in Insurance</title>
      <link>https://api.actuview.com/video/the-european-actuary-no-43-making-sense-of-mediation-in-insurance/859f48da9570949b6e228cff4ec41258</link>
      <description><![CDATA[&lt;p&gt;Arnoud Chneiweiss explains the French mediation scheme and advocates for clarity and simplicity in insurance contracts for the benefit of consumers.
&lt;/p&gt;
&lt;p&gt;        Find the full &lt;a href=&quot;https://actuary.eu/the-european-actuary-issues/&quot; target=&quot;_blank&quot; rel=&quot;nofollow&quot; rel=&quot;external nofollow&quot;&gt;TEA issue here&lt;/a&gt;.&lt;/p&gt;]]></description>
      <pubDate>Thu, 28 Aug 2025 15:09:23 +0000</pubDate>
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    </item>
    <item>
      <title>eRA 2024 Opening Presentation by RGA</title>
      <link>https://api.actuview.com/video/era-2025-opening-presentation-by-rga/802a830602a48b5e160d142281b79aec</link>
      <description><![CDATA[&lt;p&gt;...&lt;/p&gt;]]></description>
      <pubDate>Mon, 12 May 2025 09:48:31 +0000</pubDate>
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    </item>
    <item>
      <title>Shape of Things to Come-Demographic Decline, Economic Stagnation, and Geopolitical Instability</title>
      <link>https://api.actuview.com/video/shape-of-things-to-come-demographic-decline-economic-stagnation-and-geopolitical-instability/454a17eb722e6f0467e38a98492dcdad</link>
      <description><![CDATA[&lt;p&gt;Birthrates have collapsed across much of the world. Most developed countries, including the United Status, face a future of population aging and slowing economic growth. Workforces will shrink, fiscal burdens will rise, and public debt will mount. Zero-sum isolationism and protective trade barriers may spread. While populations in some parts of the merging world are still growing (e.g. Sub-Saharan Africa), others (e.g. China, Russia, Iran) are experiencing unprecedented demographic decline. All of this could be destabilizing. Our presenters examine how demographic trends are reshaping the economic and geopolitical landscape of the 21st Century. They will also explore possible strategies for staving off demographic and economic decline, from enacting pro-natal policies to increasing migration and extending work lives. &lt;/p&gt;]]></description>
      <pubDate>Wed, 26 Feb 2025 13:44:18 +0000</pubDate>
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    </item>
    <item>
      <title>Invitation to the 2nd Joint Colloquium (JoCo) of the IAA Sections</title>
      <link>https://api.actuview.com/video/invitation-to-the-2nd-joint-colloquium-joco-of-the-iaa-sections/fcfa9e64c8be1755b551eebac6e40f84</link>
      <description><![CDATA[&lt;p&gt;In May 2025, the IAA Sections will host its 1st event in South America, &quot;JoCo São Paulo 2025&quot; at the invitation of the Instituto Brasileiro de Atuária (IBA).JoCo2025 will gather IAA Section members and actuaries from Brazil and from across the world around a unique theme of &quot;Actuaries in Sustainability&quot;, to discuss the latest research and actuarial challenges arising from new fields of professional and academic activity as well as from traditional actuarial work, and including work and interpretations of the concept of &quot;sustainability&quot;.What is the actuarial interpretation of “sustainable”? The concept interacts deeply with the actuarial profession, and it can be understood differently in different contexts: about the financial sustainability of risk sharing mechanisms, or regarding economic growth and the resilience of the financial sector, or in terms of the uncertainty arising out of environmental and climate concerns, or in the context of global efforts to ensure the well-being of all. Under these broad interpretations, sustainability interacts with the practice areas of actuaries of risk assessment, pricing and product development, reserving, regulatory compliance, strategic planning, stakeholder engagement, data analytics, ethical considerations, and the need for interdisciplinary collaboration and continuous learning. Learn more on the event page: &lt;a href=&quot;https://events.actuaries.org/event/JoCo2025/home&quot; rel=&quot;external nofollow&quot;&gt;https://events.actuaries.org/event/JoCo2025/home&lt;/a&gt;&lt;/p&gt;]]></description>
      <pubDate>Thu, 06 Feb 2025 14:44:25 +0000</pubDate>
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    </item>
    <item>
      <title>Invitation to the 2nd Joint Colloquium (JoCo) of the IAA Sections (Portugese)</title>
      <link>https://api.actuview.com/video/invitation-to-the-2nd-joint-colloquium-joco-of-the-iaa-sections-portugese/5ad6bf5f8498453fc475314049df67b9</link>
      <description><![CDATA[&lt;p&gt;In May 2025, the IAA Sections will host its 1st event in South America, &quot;JoCo São Paulo 2025&quot; at the invitation of the Instituto Brasileiro de Atuária (IBA).
&lt;/p&gt;
&lt;p&gt;        JoCo2025 will gather IAA Section members and actuaries from Brazil and from across the world around a unique theme of &quot;Actuaries in Sustainability&quot;, to discuss the latest research and actuarial challenges arising from new fields of professional and academic activity as well as from traditional actuarial work, and including work and interpretations of the concept of &quot;sustainability&quot;.
&lt;/p&gt;
&lt;p&gt;         
&lt;/p&gt;
&lt;p&gt;        What is the actuarial interpretation of “sustainable”? The concept interacts deeply with the actuarial profession, and it can be understood differently in different contexts: about the financial sustainability of risk sharing mechanisms, or regarding economic growth and the resilience of the financial sector, or in terms of the uncertainty arising out of environmental and climate concerns, or in the context of global efforts to ensure the well-being of all. Under these broad interpretations, sustainability interacts with the practice areas of actuaries of risk assessment, pricing and product development, reserving, regulatory compliance, strategic planning, stakeholder engagement, data analytics, ethical considerations, and the need for interdisciplinary collaboration and continuous learning.
&lt;/p&gt;
&lt;p&gt;         
&lt;/p&gt;
&lt;p&gt;        Learn more on the event page: &lt;a href=&quot;https://events.actuaries.org/event/JoCo2025/home&quot; title=&quot;https://events.actuaries.org/event/JoCo2025/home&quot; rel=&quot;external nofollow&quot;&gt;https://events.actuaries.org/event/JoCo2025/home&lt;/a&gt;&lt;/p&gt;]]></description>
      <pubDate>Thu, 06 Feb 2025 14:40:39 +0000</pubDate>
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    </item>
    <item>
      <title>ISO27001</title>
      <link>https://api.actuview.com/video/iso27001/842e9d2d5d950be16ecb0b4b54282480</link>
      <description><![CDATA[&lt;p&gt;Webinar on information security&lt;/p&gt;]]></description>
      <pubDate>Thu, 04 Jul 2024 09:17:55 +0000</pubDate>
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    </item>
    <item>
      <title>AFIR-ERM, ASTIN &amp;amp; IACA Joint Webinar: Cyber Insurance-linked Securities</title>
      <link>https://api.actuview.com/video/afir-erm-astin-iaca-joint-webinar-cyber-insurance-linked-securities/f8ed48cc5a467e8931b6519722886d48</link>
      <description><![CDATA[&lt;p&gt;A jointly organized webinar by AFIR-ERM, ASTIN &amp;amp; IACA
&lt;/p&gt;
&lt;p&gt;        In this webinar we investigate the feasibility of cyber risk transfer through insurance -linked securities (ILS). On the investor side, we elicit the preferred characteristics of cyber ILS and the corresponding return expectations. We then estimate the cost of equity of insurers and compare it to the Rate on Line expected by investors to match demand and supply in the cyber ILS market. Our results show that cyber ILS will work for both cedents and investors if the cyber risk is sufficiently well understood. Thus, challenges related to cyber risk modelling need to be overcome before a meaningful cyber ILS market may emerge.&lt;/p&gt;]]></description>
      <pubDate>Wed, 13 Mar 2024 12:11:56 +0000</pubDate>
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    </item>
    <item>
      <title>Experience-Based Insights &amp;amp; Trends in Asset Management</title>
      <link>https://api.actuview.com/video/experience-based-insights-trends-in-asset-management/fee22e0243f597a2be2ffebdb4d59bf7</link>
      <description><![CDATA[&lt;p&gt;The goal of this online web session is awareness of theory versus investment experiences. The course discusses ‘obvious’ shortcomings, like the fact that we trust models more than human experience, we rely on the figures from the past instead of the future, we think in % instead of €, we weigh loss more than profit, and we use High School math to arrive at an efficient portfolio.
&lt;/p&gt;
&lt;p&gt;        Insights and experiences covered are, for example:
&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;The evolution of ALM&lt;/li&gt;
&lt;li&gt;Unexpected events&lt;/li&gt;
&lt;li&gt;Pitfalls in assumptions and reporting&lt;/li&gt;
&lt;li&gt;Coherent economic eras&lt;/li&gt;
&lt;li&gt;Risk perception&lt;/li&gt;
&lt;li&gt;Implementation glitches&lt;/li&gt;
&lt;/ul&gt;]]></description>
      <pubDate>Tue, 12 Dec 2023 16:23:36 +0000</pubDate>
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    </item>
    <item>
      <title>Managing Expectations</title>
      <link>https://api.actuview.com/video/managing-expectations/914fc8d41f1a25a6c4735e844e0dab5b</link>
      <description><![CDATA[&lt;p&gt;Are you interested in increasing the likelihood of feeling satisfied and successful? This webinar will delve into one of the most important soft-skills an actuary can develop: how to manage expectations&lt;/p&gt;]]></description>
      <pubDate>Fri, 01 Dec 2023 11:04:12 +0000</pubDate>
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    </item>
    <item>
      <title>Leadership Interview Series: Melissa Chacko - Part 3</title>
      <link>https://api.actuview.com/video/leadership-interview-series-melissa-chacko-part-3/2e0f654c7773c4fb4578b98170b80d7f</link>
      <description><![CDATA[&lt;p&gt;Melissa Chacko is Deputy Chief Actuary at New York City Office of the Actuary. Her career has spanned positions in international consulting, health, and retirement. Hear her discuss her career journey and being a female in leadership.&lt;/p&gt;]]></description>
      <pubDate>Wed, 15 Nov 2023 11:18:50 +0000</pubDate>
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    </item>
    <item>
      <title>Leadership Interview Series: Melissa Chacko - Part 2</title>
      <link>https://api.actuview.com/video/leadership-interview-series-melissa-chacko-part-2/448153a0e4f5a404511837ecf234041a</link>
      <description><![CDATA[&lt;p&gt;Melissa Chacko is Deputy Chief Actuary at New York City Office of the Actuary. Her career has spanned positions in international consulting, health, and retirement. Hear her discuss her career journey and being a female in leadership.&lt;/p&gt;]]></description>
      <pubDate>Wed, 15 Nov 2023 10:43:53 +0000</pubDate>
      <media:thumbnail url="https://api.actuview.com/cache/8cceaa63cf0e5fb90db7e3f68f827796.webp"><![CDATA[]]></media:thumbnail>
    </item>
    <item>
      <title>Leadership Interview Series: Melissa Chacko - Part 1</title>
      <link>https://api.actuview.com/video/leadership-interview-series-melissa-chacko-part-1/3a4952c90fc3922c66596252533ddbb9</link>
      <description><![CDATA[&lt;p&gt;Melissa Chacko is Deputy Chief Actuary at New York City Office of the Actuary. Her career has spanned positions in international consulting, health, and retirement. Hear her discuss her career journey and being a female in leadership.&lt;/p&gt;]]></description>
      <pubDate>Wed, 15 Nov 2023 10:35:29 +0000</pubDate>
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    </item>
    <item>
      <title>Explainable Machine Learning for Actuaries</title>
      <link>https://api.actuview.com/video/explainable-machine-learning-for-actuaries/b757f281e47692cdd38aa2e7b0be1c01</link>
      <description><![CDATA[&lt;p&gt;Machine learning techniques are now more and more popular in the insurance industry and have a lot of applications such as, pricing, reserving, claims management and underwriting among others. Whereas the advanced techniques usually have a better predictive power than statistical models e.g. Generalized Linear Models, their main drawback is that they are black-box and their results are difficult to understand/interpret which doesn’t always provide sufficient comfort to take business decisions.
&lt;/p&gt;
&lt;p&gt;        In this webinar, we introduce some model interpretability tools and describe how they can be used to boost insights from data in insurance applications, thanks to adequate features selection, features engineering and results interpretation. These interpretability tools make the use of machine learning techniques much more relevant in insurance as it allows to improve the predictive power while understanding the drivers of the results; which is fundamental to take relevant business decisions.&lt;/p&gt;]]></description>
      <pubDate>Thu, 28 Sep 2023 16:31:12 +0000</pubDate>
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    </item>
    <item>
      <title>Seven years on – Is there green in green consulting?</title>
      <link>https://api.actuview.com/video/seven-years-on-is-there-green-in-green-consulting/10552d4fada7d26b931a5cbaa7414a4b</link>
      <description><![CDATA[&lt;p&gt;In 2016 Rade Musulin wrote an article for the IACA Newsletter predicting that there would be a bright future for actuaries in climate risk consulting. He is a Principal at Finity Consulting in Australia specializing in climate and natural perils. In this webinar he will discuss the demand for actuarial services in climate and #sustainability, and what consultants who seek to work in this space need to do to be successful. Read the article (pages 17- 18) here: &lt;a href=&quot;https://bit.ly/3qqk5Gc&quot; title=&quot;https://bit.ly/3qqk5Gc&quot; rel=&quot;external nofollow&quot;&gt;https://bit.ly/3qqk5Gc&lt;/a&gt;&lt;/p&gt;]]></description>
      <pubDate>Mon, 18 Sep 2023 09:57:32 +0000</pubDate>
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    </item>
    <item>
      <title>Leadership Interview Series: Charles Cowling - Part 3</title>
      <link>https://api.actuview.com/video/leadership-interview-series-charles-cowling-part-3/695eb78e55723500b9ffe593e780d1d0</link>
      <description><![CDATA[&lt;p&gt;Charles Cowling is the Chief Actuary at Mercer UK, and the current President-Elect of the IAA. Listen in to understand more about the IAA and from Charles&#039;s experiences in participating with actuaries around the globe.&lt;/p&gt;]]></description>
      <pubDate>Thu, 07 Sep 2023 10:13:09 +0000</pubDate>
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    </item>
    <item>
      <title>Leadership Interview Series: Charles Cowling - Part 2</title>
      <link>https://api.actuview.com/video/leadership-interview-series-charles-cowling-part-2/4c0bb692caeb15240c5fbf72614ae1ca</link>
      <description><![CDATA[&lt;p&gt;Charles Cowling is the Chief Actuary at Mercer UK, and the current President-Elect of the IAA. Listen in to understand more about the IAA and from Charles&#039;s experiences in participating with actuaries around the globe.&lt;/p&gt;]]></description>
      <pubDate>Thu, 07 Sep 2023 09:56:59 +0000</pubDate>
      <media:thumbnail url="https://api.actuview.com/cache/3cf8cc6e24ee8429f83ae69f2fb84f32.webp"><![CDATA[]]></media:thumbnail>
    </item>
    <item>
      <title>Leadership Interview Series: Charles Cowling - Part 1</title>
      <link>https://api.actuview.com/video/leadership-interview-series-charles-cowling-part-1/4a903cc35828fe90e66d78c74cd417e0</link>
      <description><![CDATA[&lt;p&gt;Charles Cowling is the Chief Actuary at Mercer UK, and the current President-Elect of the IAA. Listen in to understand more about the IAA and from Charles&#039;s experiences in participating with actuaries around the globe.&lt;/p&gt;]]></description>
      <pubDate>Thu, 07 Sep 2023 09:45:45 +0000</pubDate>
      <media:thumbnail url="https://api.actuview.com/cache/2b440447433b19ad04ac53bdefc73409.webp"><![CDATA[]]></media:thumbnail>
    </item>
    <item>
      <title>Random Forest Model with Prediction Error Decomposition Function</title>
      <link>https://api.actuview.com/video/random-forest-model-with-prediction-error-decomposition-function/ee79b1065904ed5415101a5d3a5c9e72</link>
      <description><![CDATA[&lt;p&gt;The random forest is one of the most widely used machine learning techniques. Its prediction accuracy is very high and its hyper-parameters are easier to tune compared to other models such as gradient boosting machine (GBM) and neural network (NN). Also, the basic idea of aggregating multiple randomized decision trees is straightforward and the number of tools that ensure its interpretability (e.g., feature importance, partial dependence plot, etc.) has been increasing in recent years. With these strengths, we believe the random forest would be a powerful model for actuaries. Moreover, research on statistical properties of the random forest has also made great progress, which could contribute significantly to the estimation of the error distribution and risk management tools.
&lt;/p&gt;
&lt;p&gt;        In this paper, we firstly review how the random forest works in regression problems and then introduce a method for estimating prediction errors using it, focusing on its statistical properties and how to make well devised use of the in-bag and out-of-bag of the bootstrap sampling in the forest growth process. Here, we state that the random forest can give error distributions in addition to point estimates, which is a great advantage compared to other machine learning models like GBM or NN. We also propose a random forest specific method of decomposing the prediction error into process error, parameter error, and other error for the prediction target and confirm it is reasonable from the perspective of computational complexity. We show that the random forest enables us to evaluate the process error individually for each target, which is difficult with GLM. Lastly, we demonstrate the effectiveness of our proposed method through numerical experiments on artificial data and real datasets, and discuss its applications.
&lt;/p&gt;
&lt;p&gt;        Find the Q&amp;amp;A here: &lt;a href=&quot;/video/QampA-on-039New-Actuarial-Approaches-by-Using-Data039/b43157a3baa9822ece423d4a917541dd&quot; target=&quot;_blank&quot; rel=&quot;nofollow&quot; rel=&quot;external nofollow&quot;&gt;Q&amp;amp;A on &#039;New Actuarial Approaches by Using Data&#039;&lt;/a&gt;&lt;/p&gt;]]></description>
      <pubDate>Tue, 01 Aug 2023 13:27:35 +0000</pubDate>
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    <item>
      <title>On The Modelling Of Heavy-Tailed Data Using Generative Adversarial Networks</title>
      <link>https://api.actuview.com/video/on-the-modelling-of-heavy-tailed-data-using-generative-adversarial-networks/77733827b86a24502f7f2fadb45fea45</link>
      <description><![CDATA[&lt;p&gt;Generative Adversarial Networks (GANs) were invented in 2014 and have tremendous and remarkable results in computer vision, time series, data augmentation, missing data imputation, anomaly detection, domain adaptation and semi-supervised learning. They are known to be better than other generative models due to their universal distributional learning capabilities. GANs offer competing approaches to common heavy-tailed distributions as they do not make strong distributional assumptions and can generate new plausible samples in a single step. However, it is not clear what kind of distributions they can represent. In particular, it is not clear whether and how GANs are suited to serve as heavy-tailed distribution learners in tabular data sets and this still remains an open question. In this work, we provide an in-depth overview of the use of GANs in modelling extreme events. We show that GANs can be used to enhance the data resolution of high-impact but low likelihood events and improve model robustness. We compare the popular Conditional Wasserstein GAN with a Gradient Penalty and recently proposed Extreme Value GANs i.e. ExGAN, Student’s t GAN and Pareto GAN, for modelling non-life insurance claims. Our approach is unique as it has not been previously applied for tabular data sets nor has it been previously applied for learning the distribution of heavy-tailed data sets. This realistic extreme event generation is useful in stress and scenario testing, especially in Own Risk and Solvency Assessment (ORSA). ORSA is an important tool which relies on testing an insurer’s projected future solvency on a wide range of extreme but authentic and realistic scenarios such that the insurer can manage to cope with those scenarios.
&lt;/p&gt;
&lt;p&gt;        Find the Q&amp;amp;A here: &lt;a href=&quot;/video/QampA-on039-Machine-Learning-and-its-Opportunities039/cb7867b5a8efb8b1bf901d5b485aeaeb&quot; target=&quot;_blank&quot; rel=&quot;nofollow&quot; rel=&quot;external nofollow&quot;&gt;Q&amp;amp;A on&#039; Machine Learning and its Opportunities&#039;&lt;/a&gt;&lt;/p&gt;]]></description>
      <pubDate>Mon, 31 Jul 2023 15:17:17 +0000</pubDate>
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    <item>
      <title>Measuring and Visualizing Two-way Interaction Effects</title>
      <link>https://api.actuview.com/video/measuring-and-visualizing-two-way-interaction-effects/62205725c8fe463ba1d0c9be254513d1</link>
      <description><![CDATA[&lt;p&gt;Machine learning models are recognized as having high predictive power for data in which interaction effects are likely to be strong, but such models tend to be black boxes that are difficult to interpret and lack explanatory power in prediction. Therefore, an urgent issue is to develop methods to help interpretation by visualizing and measuring the interaction effects captured by machine learning models, and interpretable machine learning techniques that are expected to be used for this purpose have been developed. However, the two existing visualization methods, partial dependence and accumulated local effects, are inadequate because they fail to capture the main effects well, let alone the interaction effects, even for relatively simple models. In this paper, we propose alternative methods for understanding interaction effects as well as indicators for evaluating these methods. For this purpose, we define interaction effect terms and identify their various properties. Using the proposed indicators, we also characterize existing and alternative methods for simple cases. These analyses and examinations show what is lacking in specific techniques for visualizing and measuring interaction effects. We also recognize strongly that it is necessary to discuss interaction effects from basic principles.
&lt;/p&gt;
&lt;p&gt;        Find the Q&amp;amp;A here: &lt;a href=&quot;/video/QampA-on039-Machine-Learning-and-its-Opportunities039/cb7867b5a8efb8b1bf901d5b485aeaeb&quot; target=&quot;_blank&quot; rel=&quot;nofollow&quot; rel=&quot;external nofollow&quot;&gt;Q&amp;amp;A on&#039; Machine Learning and its Opportunities&#039;&lt;/a&gt;&lt;/p&gt;]]></description>
      <pubDate>Mon, 31 Jul 2023 15:58:11 +0000</pubDate>
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