Big Data Analytics in motor and health insurance: a thematic review

April 28, 2019

Data processing has historically been at the very core of the business of insurance undertakings, which is rooted strongly in data-led statistical analysis. Data has always been collected and processed to inform underwriting decisions, price policies, settle claims and prevent fraud. There has long been a pursuit of more granular datasets and predictive models, such that the relevance of Big Data Analytics (BDA) for the sector is no surprise.

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IN2data Data Science Company

IN2data: Data Science Company - includes interdisciplinary team of scientists and professionals with relevant academic and industry business knowledge, which are able to deliver advanced analytical solutions (including predictive modelling and big data analytics), especially in the area of social networks (SNA), segmentation models, cross sell & up sell models, fraud detection, churn predictions, scoring, text mining, early warning systems and social CRM. Advanced analytics solutions has its application in telecommunications, financial and retail industries as well as in the public sector and healthcare.

OTHER WHITEPAPERS
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The Inevitability of Data Science Modernization During the Machine Learning and AI Revolution

whitePaper | June 16, 2022

It seems like the business world has gone crazy for machine learning (ML) and artificial intelligence (AI), viewing the technologies as the essential keys to the very future of the enterprise. In fact, a recent survey from ESIThoughtLab found that two-thirds of business leaders see AI as critically important for their future. And yet, the respondents report that only 25% of AI projects are in widespread deployment and 40% of all projects are generating negative or no returns.

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On Artificial Intelligence A European approach to excellence and trust

whitePaper | February 19, 2020

Artificial Intelligence is developing fast. It will change our lives by improving healthcare (e.g. making diagnosis more precise, enabling better prevention of diseases), increasing the efficiency of farming, contributing to climate change mitigation and adaptation, improving the efficiency of production systems through predictive maintenance, increasing the security of Europeans, and in many other ways that we can only begin to imagine. At the same time, Artificial Intelligence (AI) entails a number of potential risks, such as opaque decision-making, gender-based or other kinds of discrimination, intrusion in our private lives or being used for criminal purposes.

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Evolving Role of Data Scientist in the Age of Personalization

whitePaper | March 12, 2020

This point of view is an exploration of the possibilities engendered by rethinking the role of data scientists in the wake of industrial revolution. It might be claimed that current trends in industrial revolution reflect a paradigm shift towards data centric processing with data science playing an increasingly critical role. This point of view also explicitly highlights the potential role of Data scientists as an emerging phenomenon, and then to show some of the benefits that this role can bring as we move towards industrial disruption

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Fault-Tolerant Components on AWS

whitePaper | November 15, 2019

Fault-tolerance is the ability for a system to remain in operation even if some of the components used to build the system fail. Even with very conservative assumptions, a busy e-commerce site may lose thousands of dollars for every minute it is unavailable. This is just one reason why businesses and organizations strive to develop software systems that can survive faults. Amazon Web Services (AWS) provides a platform that is ideally suited for building fault-tolerant software systems. The AWS platform enables you to build fault-tolerant systems that operate with a minimal amount of human interaction and up-front financial investment.

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Application-Driven Analytics

whitePaper | September 28, 2022

By building smarter apps and increasing the speed of business insight, application-driven analytics gives you the opportunity to out-innovate your competitors and improve efficiency. However, it does require a shift in the way we think about and deliver analytics.

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Effective Data Management Is Essential for Taming the 5G Network Complexity Beast

whitePaper | September 26, 2022

Communications service provider (SP) traffic volumes are progressively increasing as networks evolve, user devices gain greater capacity, and applications engaging with advanced network data such as that from the 5G standalone (5G SA) network exposure function (NEF) start to deliver on customer expectations. Cloudification of network functions — virtualized network functions (VNFs) and cloud-native network functions (CNFs) — is placing new burdens on old systems and processes not designed to manage intent-based network architecture. Silos of data locked within many installed systems keep transformation efforts from reaching anticipated objectives.

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Spotlight

IN2data Data Science Company

IN2data: Data Science Company - includes interdisciplinary team of scientists and professionals with relevant academic and industry business knowledge, which are able to deliver advanced analytical solutions (including predictive modelling and big data analytics), especially in the area of social networks (SNA), segmentation models, cross sell & up sell models, fraud detection, churn predictions, scoring, text mining, early warning systems and social CRM. Advanced analytics solutions has its application in telecommunications, financial and retail industries as well as in the public sector and healthcare.

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