Corinium

JUNE 6, 2019

For instance, for a variety of reasons, in the short term, CDAOS are challenged with quantifying the benefits of analytics’ investments. Some of the work is very foundational, such as building an enterprise data lake and migrating it to the cloud, which enables other more direct value-added activities such as self-service.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

Cloudera

DECEMBER 19, 2018

Data analytics priorities have shifted this year. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural language analytics and streaming data analytics are emerging technologies that will impact the market.

Data Warehouse 52

Data Warehouse Analytics Big Data Data Architecture 52

Cloudera

JANUARY 24, 2022

The company used Cloudera Data Science Workbench to create data-centric applications and solutions. With an AI-powered credit scoring and risk model, they were able to more accurately determine which loans to approve. And in 2018, opioids were involved in two-thirds of the deaths attributed to drug overdose.

Data Lake 64

Data Lake Risk Machine Learning Data Collection 64

Hurwitz & Associates

JUNE 28, 2018

Chief Data Officers (CDOs) have a weighty responsibility: they are “on point” to find the actionable insights and data trends from analysis of data lakes, data repositories and virtual “seas” of data flowing across their large organizations. The Role of Best Practices.

Insurance 40

Insurance Data Lake Machine Learning Enterprise 40

CIO Business Intelligence

NOVEMBER 4, 2022

Rigid requirements to ensure the accuracy of data and veracity of scientific formulas as well as machine learning algorithms and data tools are common in modern laboratories. When Bob McCowan was promoted to CIO at Regeneron Pharmaceuticals in 2018, he had previously run the data center infrastructure for the $81.5

Data Lake 116

Data Lake IT Experimentation Data-driven 116

Alation

MARCH 21, 2023

Why is data analytics important for travel organizations? With data analytics , travel organizations can gain real-time insights about customers to make strategic decisions and improve their travel experience. They may also suffer from data duplication, which undermines their analytics models.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

BizAcuity

MAY 10, 2022

Amazon strategically went with the pricing model of ‘on-demand’, allowing developers to pay only as-per their computational needs. Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store. EC2 was a more evolved version of a Virtual Machine.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52