-
-
-
-
URL copied!
Artificial intelligence (AI) and machine learning (ML) are revolutionizing the insurance industry by improving risk assessments, reducing payouts on fraudulent claims and boosting customer experience. Companies who implement such technologies can expect to see customer satisfaction increase and operational costs drop.
In this whitepaper we’ll detail the specifics of telematics, chatbots and machine learning. Learn how each of them are currently being used to save companies both time and money by reducing hours spent dealing with tedious paperwork and lowering loss ratios through calculating more accurate predictive models.
Authors
Top Insights
Manchester City Scores Big with GlobalLogic
AI and MLBig Data & AnalyticsCloudDigital TransformationExperience DesignMobilitySecurityMedia
Twitter users urged to trigger SARs against energy...
Big Data & AnalyticsDigital TransformationInnovation
Retail After COVID-19: How Innovation is Powering the...
Digital TransformationInsightsConsumer and RetailTop Authors
Senior Solution Architect
Solution Architect
VP - Sales Leader - Financial Services
Architecture, Project Management
Senior Solution Architect, Technology
Top Insights Categories
Let’s Work Together
Related Content
GlobalLogic named finalist at the 2023 Analytics Institute Awards
The team is excited to announce that GlobalLogic has been selected as a finalist for the Emerging Technology Award at the 2023 Analytics Institute Awards. This prestigious award recognises organisations that have successfully employed new technologies such as IoT, Edge Computing, Machine Learning, or RPA. Our submission showcased the successful application of analytics technology to … Continue reading AI/ML in Claims Processing →
Learn More
MLOps Principles Part Two: Model Bias and Fairness
Welcome back to the second instalment of our three-part series – MLOps (Machine Learning Operations) Principles. If you missed part one, which focused on the importance of model monitoring, it can be found here. This blog explores the various forms that model bias can take, whilst delving into the challenges of detecting and mitigating bias, … Continue reading AI/ML in Claims Processing →
Learn More
The GlobalLogic Academy Programme – a personal, introspective recollection
Ben Graham – Academy 2022 Graduate/Delivery Consultant I am currently in the DevOps capability for consulting and a recent graduate of the Academy 2022 programme which ran from September to December. I’d like to detail my thoughts on the process and share how my fellow graduates and I felt going on this journey. The GlobalLogic … Continue reading AI/ML in Claims Processing →
Learn More
Seven steps to break down systemic gender barriers
Despite progress over the years, women are still significantly underrepresented in tech. Systemic gender barriers – such as unconscious bias, lack of access to education, and cultural norms – can make it difficult for women to break into the tech industry. But how do we break down these barriers? Follow our simple step by step … Continue reading AI/ML in Claims Processing →
Learn More
MLOps Principles Part One: Model Monitoring
Machine learning (ML) has quickly become one of the most transformative technologies of our time – with applications in a wide range of industries, from healthcare and finance to retail and transportation. As organisations begin to adopt ML, they are facing new challenges arising from working with ML systems. Building, deploying and maintaining ML models … Continue reading AI/ML in Claims Processing →
Learn More
Share this page:
-
-
-
-
URL copied!