Data Engineering Insurance IoT 
Altexsoft
JUNE 14, 2021
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?
CIO
JUNE 22, 2023
There’s a high demand for software engineers, data engineers, business analysts and data scientists, as finance companies move to build in-house tools and services for customers. And as more insurance companies develop client-facing apps and services, there’s a need for UX/UI designers, developers, and engineers.
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CIO
MAY 21, 2024
In the past, to get at the data, engineers had to plug a USB stick into the car after a race, download the data, and upload it to Dropbox where the core engineering team could then access and analyze it. If I don’t do predictive maintenance, if I have to do corrective maintenance at events, a lot of money is wasted.”
CTOvision
JUNE 15, 2015
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.
Confluent
JULY 11, 2019
Reading, writing, and transforming data in Apache Kafka ® using KSQL is an effective way to rapidly deliver event streaming applications for clients (e.g., streaming insurance events ). Simon Aubury is a data geek on all things from databases to event streaming, architecture, IoT, and cloud.
Coforge
AUGUST 31, 2020
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Altexsoft
JULY 23, 2020
It facilitates collaboration between a data science team and IT professionals, and thus combines skills, techniques, and tools used in data engineering, machine learning, and DevOps — a predecessor of MLOps in the world of software development. MLOps lies at the confluence of ML, data engineering, and DevOps.
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