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Personalized Insurance: Auto and Telematics, Health, and Other Success Stories

Altexsoft

In today’s society, insurers can no longer ignore the mounting expectations of customers. Clients now expect insurers to provide different levels of personalization that are fast, adaptable, and up to date. Is personalized insurance really the future of insurance? What is personalized insurance, and why is it important?

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What is data analytics? Analyzing and managing data for decisions

CIO

It can be used to reveal structures in datainsurance firms might use cluster analysis to investigate why certain locations are associated with particular insurance claims, for instance. Data analysts and others who work with analytics use a range of tools to aid them in their roles.

Analytics 203
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Join DataRobot at Big Data & AI Paris 2022

DataRobot

Since 2016, DataRobot has aligned with customers in finance, retail, healthcare, insurance and more industries in France with great success, with the first customers being leaders in the insurance space. . Big Data AI Paris 2022 is France’s largest event focused on AI, with over 15,000 participants expected.

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Data Engineers of Netflix?—?Interview with Samuel Setegne

Netflix Tech

Data Engineers of Netflix?—?Interview Interview with Samuel Setegne Samuel Setegne This post is part of our “Data Engineers of Netflix” interview series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. What drew you to Netflix?

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The IBM Press Release on Spark That Every Tech Leader Should Read

CTOvision

They also launched a plan to train over a million data scientists and data engineers on Spark. As data and analytics are embedded into the fabric of business and society –from popular apps to the Internet of Things (IoT) –Spark brings essential advances to large-scale data processing.

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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning - AI

Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. However, managing the complex infrastructure required for big data workloads has traditionally been a significant challenge, often requiring specialized expertise.

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Analytics Maturity Model: Levels, Technologies, and Applications

Altexsoft

Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Introducing data engineering and data science expertise.

Analytics 102