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. Other relevant roles include security professionals, project managers, UX/UI designers, product managers, data analysts, and business analysts.

Industry 306

Industry UI/UX Telecommunications Quality Assurance 306

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?

Insurance 88

Insurance Machine Learning Artificial Inteligence Policies 88

Coforge

AUGUST 31, 2020

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Insurance 40

Insurance Technology Artificial Inteligence Policies 40

Cloudera

JANUARY 19, 2018

Sean ascertains that larger data sets and increased access to compute power is propelling the adoption of machine learning. General Data Protection Regulation (GDPR) and Data Science. Kudu makes running real-time analytics easier than ever before and is foundational to a number of successful Cloudera IoT customers.

Artificial Inteligence 45

Artificial Inteligence Machine Learning Big Data IoT 45

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. Related articles.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

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.

Artificial Inteligence 145

Artificial Inteligence Machine Learning DevOps Tools 145

Altexsoft

MARCH 16, 2021

Other external and internal sources may include anything capable of generating data that can complement further analysis, i.e., social media, search engine data, hospital’s operational information, insurance claims, clinical records, demographic data, environmental data, and so on. But what happens next?

Big Data 116

Big Data Healthcare Applications Data 116