Tag: Symfa

A recent report by Capgemini highlights that 62% of insurance executives acknowledge AI and machine learning as crucial for enhancing underwriting quality and reducing fraud. However, only 43% of underwriters consistently trust predictive analytics recommendations. This discrepancy raises an essential question: how can AI truly transform underwriting, and what trends are driving its adoption in the InsurTech industry? Custom software development company Symfa investigates.

In today’s data-driven world, the ability to turn raw data into actionable insights is more crucial than ever. With vast amounts of information being generated daily, businesses must navigate the complexities of data cleaning, processing, and standardisation to uncover trends, patterns, and opportunities. This is where Symfa, an innovative software development company, excels — helping businesses turn fragmented and inconsistent data into reliable, insightful, and valuable information.

As 2024 draws to a close, experts in the insurance sector are forecasting the trends and obstacles likely to define the industry in 2025. While technologies like generative AI are making waves in claims processing and customer engagement, age-old challenges around efficiency, accuracy, and security remain prominent.

A Fortune 500 insurance carrier recently embarked on an ambitious journey to transition its on-prem big data ETL platform to the cloud. This initiative was spearheaded by the client’s largest Azure service partner. The promise? Enhanced speed and scalability for data transfer, mapping, and verification. Ivan Sokolov, BI and ETL developer at Symfa, explained its role in the transition.

Migrating from on-premises to cloud infrastructure is a major leap for any organisation. This was the case for a Fortune 500 insurer seeking to modernise its operations. Their existing system, which relied on outdated methods and manual processes, was no longer fit to handle the enormous amounts of data generated daily. This transformation involved building a robust, automated platform, transitioning to the cloud, and optimising for efficiency and scalability. Customer software development company Symfa explains how it supported the firm on this journey.

Health insurance plays a critical role in safeguarding individuals and families from the financial burdens of medical expenses, offering essential coverage and peace of mind during times of illness or injury. Traditionally, the industry relied on complex and rigid models, often burdened by lengthy paperwork, slow claims processing, and fragmented communication. However, the health insurance market is projected to reach a remarkable $2.38tn in gross written premiums by 2024, according to Statista. This comes amidst a significant shift towards digital platforms and telemedicine services.

Three years ago, a US insurance giant struggled to develop a Rules engine for their multiple user-facing applications. The project initially failed, leading them to enlist Symfa's expertise. Dmitry Denisko, senior software engineer at Symfa, delved into how the company reinvented the world of insurance business logic.

Generative AI, or GenAI, has rapidly shifted from a mere discussion point to a pivotal tool in business innovation, offering unprecedented efficiency and smart solutions. Ilya Mokin, head of R&D at Symfa, shares insights into integrating a ChatGPT bot within their in-house ERP system, highlighting the potential and challenges of custom on-demand reports and analytics.

In today's rapidly evolving digital landscape, leveraging cutting-edge technologies like Generative AI (GenAI) holds immense potential for businesses. However, ensuring success with GenAI implementation within Enterprise Resource Planning (ERP) systems comes with its own set of challenges and considerations.

As AI continues its ascent as a transformative force in the business landscape, the InsurTech sector has found itself as the latest realm aiming to tap into its remarkable potential. InsurTech Analyst recently spoke to a host of industry experts in a bid to unravel the profound impact AI is poised to have on the space.