{"id":2279,"date":"2025-02-05T14:30:45","date_gmt":"2025-02-05T14:30:45","guid":{"rendered":"https:\/\/koiosintelligence.ca\/?p=2279"},"modified":"2025-10-06T14:25:15","modified_gmt":"2025-10-06T14:25:15","slug":"10-ai-terms-every-insurance-broker-must-know","status":"publish","type":"post","link":"https:\/\/koiosintelligence.ca\/fr\/news\/10-ai-terms-every-insurance-broker-must-know\/","title":{"rendered":"10 AI Terms Every Insurance Broker Must Know to Stay Competitive in 2025 \u2013 And Why Chatbots Aren\u2019t Enough"},"content":{"rendered":"

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AI-powered tools aren't the thing of science fiction films anymore; they're a crucial integration in everyday business processes. There's no ignoring that AI may soon become a core component of insurance business growth, and neglecting to implement AI technology is neglecting a key player in your brokerage's success.<\/p>\n

Insurance chatbots are and have been a common addition to many insurance brokerage websites. While these have been pivotal in the transition to stronger AI tools, they pale compared to other developments. We'll get more into that a little later.<\/p>\n

Stay on top of the shift by arming yourself with knowledge. Let's begin with terminology.<\/h6>\n<\/div>\n<\/div>\n<\/div><\/div><\/div>

Exploration de la terminologie de l'IA<\/strong><\/h1>\n<\/div><\/div><\/div>
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As AI technology evolves and develops, new terminology emerges. While your brokerage or agency doesn't need to have every new gadget under the sun, being aware of the different terms and how they relate to insurance processes is key in understanding which AI tools to implement and which to not.<\/p>\n

Voici 10 des termes les plus essentiels de l'IA :<\/h6>\n<\/div>\n<\/div>\n<\/div><\/div><\/div>

Agent AI<\/h2>\n<\/div><\/div><\/div>
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\"AI Agent\" refers to an AI tool that is created to assist both customers and prospects with the likeness and knowledge of real (human!) insurance professionals. This can manifest in many different forms, such as insurance chatbots, interactive quoting forums, communication platforms, or otherwise.<\/p>\n<\/div>\n<\/div>\n<\/div><\/div><\/div>

Assistante virtuelle en assurance<\/strong><\/h2>\n<\/div><\/div><\/div>
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An \"Insurance virtual assistant\" is similar in function to an AI agent. Insurance virtual assistant is just another fancy way of referring to conversational AI software.<\/p>\n

Cependant, contrairement \u00e0 un chatbot d'assurance, un assistant virtuel d'assurance s'adapte et apprend de ses interactions avec les consommateurs, offrant des r\u00e9ponses plus compl\u00e8tes et proposant des solutions plut\u00f4t que des r\u00e9ponses sc\u00e9naris\u00e9es. Un assistant virtuel d'assurance est un chatbot d'assurance aux capacit\u00e9s infiniment plus \u00e9tendues.<\/p>\n<\/div>\n<\/div>\n<\/div><\/div><\/div>

Chatbot assurance<\/h2>\n<\/div><\/div><\/div>
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Les chatbots d'assurance ont \u00e9t\u00e9 la premi\u00e8re exposition \u00e0 l'IA pour de nombreux courtiers et agences. Cependant, un chatbot d'assurance et un assistant virtuel d'assurance ne sont pas une seule et m\u00eame chose.<\/p>\n

Bien qu'un chatbot d'assurance puisse certainement avoir ses avantages, son objectif inh\u00e9rent est d'aider les sites web \u00e0 r\u00e9pondre \u00e0 des questions de base pr\u00e9programm\u00e9es et \u00e0 fournir des r\u00e9ponses sc\u00e9naris\u00e9es. Il ne s'adapte pas aux conversations en temps r\u00e9el et ne stimule pas les interactions contextualis\u00e9es, mais il peut \u00eatre utile pour compenser une partie des appels t\u00e9l\u00e9phoniques pour des questions et des sujets de base.<\/p>\n<\/div>\n<\/div>\n<\/div><\/div><\/div>

L'IA conversationnelle<\/h2>\n<\/div><\/div><\/div>
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The term conversational AI refers to software allowing machines to not only understand and process, but respond to human language in a way that is natural. Conversational AI can be used to power insurance virtual assistants (like Koios's Olivo \u2013 more about that later) as well as voice recognition systems that can handle meaningful conversations.<\/p>\n<\/div>\n<\/div>\n<\/div><\/div><\/div>

NLP (traitement du langage naturel)<\/h2>\n<\/div><\/div><\/div>
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NLP is short for Natural Language Processing, which is a brand of AI centred on computers' ability to understand and interpret human language in a useful and meaningful way. NLP is helping bridge the gap between human communication and machine understanding by analyzing and processing natural language.<\/p>\n<\/div>\n<\/div>\n<\/div><\/div><\/div>

ML (Machine Learning)<\/h2>\n<\/div><\/div><\/div>
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ML is short for Machine Learning, a subset of AI that programs computers to learn and make predictions or decisions without explicit scripting. Rather than adhering to strict code, ML uses statistical models and algorithms to analyze and learn patterns from data, thereby improving your AI tools' performance with time and experience.<\/p>\n<\/div>\n<\/div>\n<\/div><\/div><\/div>

Analyse pr\u00e9dictive<\/h2>\n<\/div><\/div><\/div>
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ML is short for Machine Learning, a subset of AI that programs computers to learn and make predictions or decisions without explicit scripting. Rather than adhering to strict code, ML uses statistical models and algorithms to analyze and learn patterns from data, thereby improving your AI tools' performance with time and experience.<\/p>\n<\/div>\n<\/div>\n<\/div><\/div><\/div>

IA Stack<\/h2>\n<\/div><\/div><\/div>
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An \"AI stack\" is the layered presentation of different technologies and AI tools that work as partners to both develop and deploy systems.<\/p>\n

An AI stack can combine multiple components such as data collection, ML frameworks, deployment platforms, model training, and user interfaces. For insurance professionals, an AI stack may involve conversational AI for customer-facing virtual assistants, ML for reviewing interactions and decision-making, and more<\/span>.<\/p>\n<\/div>\n<\/div>\n<\/div><\/div><\/div>

LLM (Large Language Model)<\/h2>\n<\/div><\/div><\/div>
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Le LLM (Large Language Model) est un mod\u00e8le avanc\u00e9 d'apprentissage automatique form\u00e9 sur de grandes quantit\u00e9s de donn\u00e9es textuelles afin de comprendre et de g\u00e9n\u00e9rer des textes de type humain. Ce type de mod\u00e8le est con\u00e7u pour traiter et produire du langage naturel en s'appuyant sur des techniques d'apprentissage en profondeur, en particulier des transformateurs, un type d'architecture de r\u00e9seau neuronal.<\/p>\n<\/div>\n<\/div>\n<\/div><\/div><\/div>

Insurance Chatbots vs. Insurance Virtual Assistants<\/strong><\/h1>\n<\/div><\/div><\/div><\/div><\/div>
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Les chatbots d'assurance et les assistants virtuels d'assurance sont deux termes d'IA fr\u00e9quemment utilis\u00e9s dans le secteur de l'assurance. Les chatbots d'assurance gagnent en popularit\u00e9 et sont utilis\u00e9s sur les sites web pour r\u00e9pondre aux questions de base, mais ils n'ont pas les capacit\u00e9s avanc\u00e9es des assistants virtuels d'assurance.<\/p>\n

Olivo<\/em>de Ko\u00efos, est un assistant virtuel d'assurance qui va au-del\u00e0 du chatbot d'assurance traditionnel. Si un chatbot d'assurance peut \u00eatre un premier pas dans le monde de l'automatisation de l'assurance, il n'est rien compar\u00e9 aux capacit\u00e9s d'un assistant virtuel d'assurance.<\/p>\n

Voici quelques-unes des principales diff\u00e9rences entre les deux :<\/p>\n<\/div>\n<\/div>\n<\/div>\n

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<\/th>\nChatbot assurance<\/strong><\/th>\nAssistante virtuelle en assurance (<\/strong>Olivo<\/span>)<\/strong><\/th>\n<\/tr>\n<\/thead>\n
Style d'interaction<\/td>\nQuestions et r\u00e9ponses textuelles<\/td>\nConversation et r\u00e9ponses adapt\u00e9es\/pertinentes<\/td>\n<\/tr>\n
Capacit\u00e9 op\u00e9rationnelle<\/td>\nFAQ de base<\/td>\nConsultation des politiques, analyse des risques, alertes de conformit\u00e9<\/td>\n<\/tr>\n
Capacit\u00e9 d'apprentissage<\/td>\nR\u00e9ponses pr\u00e9programm\u00e9es<\/td>\nAdaptative, elle apprend des donn\u00e9es au fil du temps<\/td>\n<\/tr>\n
Prise de d\u00e9cision en temps r\u00e9el<\/td>\nNon<\/td>\nOui<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/div><\/div>

Les assistants virtuels d'assurance sont-ils l'avenir des courtiers d'assurance ?<\/h2>\n<\/div><\/div><\/div>
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Le secteur de l'assurance suscite de grandes attentes. L'impact de la hausse des co\u00fbts, du changement climatique et de l'augmentation des litiges pousse les clients \u00e0 trouver une assurance plus rapidement, et les courtiers et les agences sont cens\u00e9s y r\u00e9pondre. Tous ces appels et toutes ces demandes peuvent rapidement submerger votre entreprise, et la solution r\u00e9side dans l'IA.<\/p>\n

Insurance Virtual Assistants, like Olivo, can automate insurance tasks to help boost your business's efficiency and enable your team to manage more leads per head. Even as the pressure for low-cost, comprehensive coverage drives the demand for quick answers even higher, you can easily respond and transform those quick clicks into binding customers.<\/p>\n<\/div>\n<\/div>\n<\/div><\/div><\/div>

Pr\u00e9sentant Olivo<\/h2>\n<\/div><\/div><\/div>
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Olivo is Ko\u00efos Intelligence's cloud platform powered by domain-specialized Large Language Models (LLMs), designed to revolutionize the insurance value chain.<\/p>\n

Olivo helps to tackle many insurance processes, including quotation. Given the quality of the customer experience provided by this flexible insurance virtual assistant, about 55% of insurance customers using Olivo provide all information required to obtain a quote, compared to 15-30% that do so when using corresponding web forms.<\/p>\n

Au-del\u00e0 de cela, seuls 4 \u00e0 5 % des clients demandent \u00e0 \u00eatre transf\u00e9r\u00e9s vers un courtier ou un centre d'appel.<\/p>\n

Efficiency is the name of the game. Developed with the performance efficiency of underwriters, agents, and brokers in mind, Olivo offers conversational AI and AI tools to businesses that adapt to the evolving needs of the industry market.<\/p>\n<\/div>\n<\/div>\n<\/div><\/div><\/div><\/div><\/div>

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10 termes li\u00e9s \u00e0 l'IA que tout courtier d'assurance doit conna\u00eetre pour rester comp\u00e9titif en 2025 \u2013 Et pourquoi les chatbots ne suffisent pas<\/span><\/strong><\/p>\n

Publi\u00e9 le 5 f\u00e9vrier 2025<\/p>\n

Gabrielle Reid<\/p>\n<\/div>\n<\/div>\n<\/div>

<\/div><\/div><\/div><\/div><\/div><\/p>","protected":false},"excerpt":{"rendered":"","protected":false},"author":6,"featured_media":3776,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[6],"tags":[],"class_list":["post-2279","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-white-pages"],"acf":[],"yoast_head":"\n10 AI Terms Every Insurance Broker Must Know to Stay Competitive in 2025 \u2013 And Why Chatbots Aren\u2019t Enough - Ko\u00efos Intelligence<\/title>\n<meta name=\"description\" content=\"The future of insurance isn\u2019t waiting. Chatbots are old news\u2014AI is evolving fast. Learn the 10 AI terms every broker must know to stay ahead in 2025 before your competitors leave you behind. 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