datacarriere.com

Using Artificial Intelligence in Non-Life Reserving

Nieuws
13-02-2024
Ernst Visser
KPMG
In this blog, we will discuss the current status of AI use in insurance, go into the innovations in Non-Life reserving that are within reach of practical application, and set out the challenges that need to be addressed when applying AI.

Article Ernst Visser, Associate Director KPMG

The use of artificial intelligence (AI) has skyrocketed in many areas. The insurance industry, for example, is a domain where technological innovation and traditional practices come together. In this blog, we will discuss the current status of AI use in insurance, go into the innovations in Non-Life reserving that are within reach of practical application, and set out the challenges that need to be addressed when applying AI. In future blogs, we will discuss other applications of AI, such as pricing in insurance.

The Current State of AI in the Insurance Industry

In the insurance industry, artificial intelligence has emerged as a transformative force, reshaping traditional practices and enhancing operational efficiency. The utilization of AI in underwriting has evolved, with predictive analytics and machine learning algorithms analyzing extensive datasets in real time to create more accurate risk profiles. This not only allows insurers to tailor their policies to individual needs but also ensures fairer and more competitive pricing. Claims processing, often perceived as a cumbersome task, has undergone a revolution with AI-driven applications. Natural Language Processing (NLP) algorithms and image recognition technology expedite claims settlement, providing faster and more accurate assessments. Customer service has been revolutionized through AI-powered chatbots and virtual assistants, offering instant responses and improving overall responsiveness. Additionally, AI's role in fraud detection has become indispensable, with machine learning algorithms identifying patterns indicative of fraudulent activities, thus contributing to a proactive approach in maintaining the integrity of the insurance ecosystem. These AI applications have not only improved accuracy, efficiency, and personalized customer experiences but also set the stage for ongoing innovation in the insurance landscape. The current state of AI in insurance signifies a pivotal moment, laying the foundation for a future where technology continues to redefine industry norms and elevate customer satisfaction.

Lees meer >>


Lees verder op: KPMG

Gerelateerde vacatures

Geïnteresseerd in een carrière bij organisaties in ditzelfde vakgebied? Bekijk hieronder de gerelateerde vacatures en vind de perfecte match voor jou!
KPMG
3.245 - 3.965
Junior, Medior
Amstelveen
Als Consultant Data Management bij KPMG ondersteun je klanten bij de ontwikkeling van datastrategieën en het oplossen van datakwaliteitsproblemen. Je werkt in dynamische projectteams, geeft workshops om datageletterdheid te vergroten...
KPMG
4.825 - 7.935
Senior
Amstelveen
Als IT Transformation Lead bij KPMG leid je de levering van grootschalige IT-transformatieprogramma's van strategie tot uitvoering, in lijn met bedrijfsdoelen. Je vertaalt strategie naar uitvoerbare plannen, beheert verandering en...
SVB
4.693 - 6.208
Medior, Senior
Amstelveen
Als Business Analist – Intelligence & Risicogericht onderzoek bij SVB initieer en analyseer je risicogerichte onderzoeken om onrechtmatigheidsrisico's te mitigeren. Je zet wensen van Preventie & Handhaving om in oplossingen...
Top vacature
De Nederlandsche Bank
4.800 - 7.900
Medior, Senior
Amsterdam
Als Toezichtspecialist Data Toezicht Verzekeraars bij DNB versterk je het toezicht op de verzekeringssector met data-analyse en innovatieve projecten. Je analyseert datakwaliteit, ontwikkelt risicomodellen en creëert waardevolle inzichten voor effectief...