Domino Data Lab

MARCH 11, 2021

Machine learning (ML) frameworks are interfaces that allow data scientists and developers to build and deploy machine learning models faster and easier. Machine learning is used in almost every industry, notably finance , insurance , healthcare , and marketing. What hardware, software, and cloud services are used for scaling?

Machine Learning 143

Machine Learning Deep Learning Insurance Modeling 143

Smart Data Collective

JANUARY 12, 2022

Personal loans, business loans, credit cards, and insurance premiums all have a dependence on your credit score. Data analytics tools can help you figure out how to improve your credit score. You can use the information gleaned through their data mining tools to figure out the best way to improve your credit score.

Data Analytics 117

Data Analytics Analytics Finance Data mining 117

FineReport

JULY 28, 2021

Definition: BI vs Data Science vs Data Analytics. Business Intelligence describes the process of using modern data warehouse technology, data analysis and processing technology, data mining, and data display technology for visualizing, analyzing data, and delivering insightful information.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

FineReport

APRIL 9, 2024

Through the utilization of predictive models, clinicians can forecast patient outcomes and resource needs, enabling early intervention and personalized care delivery. Furthermore, the implementation of healthcare data mining techniques allows organizations to uncover hidden patterns and correlations within their datasets.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Sisense

AUGUST 19, 2020

Disrupting Markets is your window into how companies have digitally transformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. The use of big data analytics and cloud computing has spiked phenomenally during the last decade.

Big Data 52

Big Data Machine Learning Digital Transformation Marketing 52

Peter James Thomas

AUGUST 18, 2018

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

bridgei2i

JULY 28, 2020

The way an AI system will operate in terms of engaging our employment sector is first of all, we need people who can build the models, who would be the mathematicians, computer scientists, engineers. In my company StatWeather we use this kind of data and data mining to forecast weather and climate patterns, which has been very successful.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

Smart Data Collective

MARCH 25, 2019

Technology has had a profound impact on the insurance industry. Insurers are relying heavily on big data as the number of insurance policyholders also grow. Big data analytics can help solve a lot of data issues that insurance companies face, but the process is a bit daunting.

Insurance 86

Insurance Data Analytics Analytics Big Data 86

Smart Data Collective

MAY 3, 2021

Big data has played a huge role in the evolution of employment models. You should understand the changes wrought by big data and the impact that it is having on the gig economy. Let us take a look at some of the pros and cons of the world of gigs: #1 Unbridled liberty of choice with data mining.

Big Data 123

Big Data Data mining Cost-Benefit Insurance 123

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. The interest in interpretation of machine learning has been rapidly accelerating in the last decade. See Ribeiro et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Alation

AUGUST 26, 2021

These future-oriented models are used to make predictions. Today, BI represents a $23 billion market and umbrella term that describes a system for data-driven decision-making. Today, modern organizations use AI to glean competitive insights, pulling nuggets of wisdom from a river of data.

Metadata 64

Metadata Data Governance Dashboards Software 64