Decision Management Solutions

FEBRUARY 25, 2019

To keep processing costs low, many insurance carriers have a goal to increase the percentage of their claims that can be processed and decisioned with no human decision-making involved. Perhaps surprisingly, there remains a fair amount of human intervention involved in processing insurance claims.

Insurance 40

Insurance Management Machine Learning Predictive Analytics 40

Sisense

MARCH 27, 2019

Real time business intelligence is the use of analytics and other data processing tools to give companies access to the most recent, relevant data and visualizations. To provide real-time data, these platforms use smart data storage solutions such as Redshift data warehouses , visualizations, and ad hoc analytics tools.

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

Birst BI

JANUARY 16, 2018

For the vast majority of information workers, this is the definition of self-service analytics. But to build that dashboard, someone has to assemble all the components, the key performance indicators (KPIs), the data visualizations, and all of the dashboard’s data feeds. The barrier of entry to BI remains high.

Data-driven 70

Data-driven Analytics Dashboards Machine Learning 70

IBM Big Data Hub

MAY 9, 2024

Healthcare organizations need a strong data governance framework to help ensure compliance with regulations like the Health Insurance Portability and Accountability Act of 1996 (HIPAA) in the US and the General Data Protection Regulation (GDPR) in the EU. Inaccuracies might also lead to more delays or complications with insurance coverage.

Data Governance 66

Data Governance Data Quality Insurance Predictive Analytics 66

DataRobot Blog

MAY 25, 2022

With DataRobot, professionals and organizations impacted by natural disasters can solve an array of difficult predictive analytics questions and rapidly gain value from their data. DataRobot enables the user to easily combine multiple datasets into a single training dataset for AI modeling.

Risk 52

Risk Insurance Predictive Modeling Predictive Analytics 52

FineReport

APRIL 9, 2024

The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making. Through the utilization of predictive models, clinicians can forecast patient outcomes and resource needs, enabling early intervention and personalized care delivery.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

AWS Big Data

MARCH 27, 2024

Achieving this will also improve general public health through better and more timely interventions, identify health risks through predictive analytics, and accelerate the research and development process.

Data Analytics 118

Data Analytics Analytics Data Warehouse Data Lake 118

Cloudera

JANUARY 5, 2023

This is especially so in industries like telecom, retail, healthcare, manufacturing, insurance, and financial services. What will determine the winners from the laggards will hinge on the speed at which predictive analytics can be executed, and the cost-benefit ratio related to these algorithmic paradigms.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

IBM Big Data Hub

JULY 17, 2023

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62

Smarten

JUNE 21, 2018

Business Problem : Insurance claim manager wants to forecast policy sales for next month based on past 12 months data. Tools such as Smarten Plug n’ Play predictive analysis provide assisted predictive modeling capabilities. Improvement planning can be done for the game show to increase/maintain the level of popularity.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

Smarten

JUNE 26, 2018

Finance – An organization might use this technique to Identify if demographic factors influence banking channel/product/service preference or selection of a type of term plan of an insurance etc. How Can the Chi Square Test of Association Be Used for Business Analysis?

Testing 40

Testing Statistics IT Business Intelligence 40

Smarten

JULY 10, 2018

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools.

Analytics 40

Analytics Forecasting Statistics Sales 40

Domino Data Lab

JUNE 2, 2019

Her talk addressed career paths for people in data science going into specialized roles, such as data visualization engineers, algorithm engineers, and so on. To do this, first review quantitative decisions being made by staff – for example, settlement prices quoted by insurance claims adjusters.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

Domino Data Lab

JULY 28, 2021

These advances have had huge ramifications across industries ranging from finance and banking to healthcare and insurance. They have enabled new cross-industry applications, such as in customer analytics and fraud detection. Improvements in storage have made it possible to capture, manage and use this data in as fast as real time.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

datapine

OCTOBER 21, 2020

By utilizing key performance indicators in healthcare and healthcare data analytics, prevention is better than cure, and managing to draw a comprehensive picture of a patient will let insurance provide a tailored package. 8) Predictive Analytics In Healthcare. with the impossibility to communicate properly.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. where performance and data quality is imperative?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

IBM Big Data Hub

FEBRUARY 14, 2024

Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies.

Cost-Benefit 82

Cost-Benefit Insurance Machine Learning Unstructured Data 82

Domino Data Lab

JULY 22, 2019

He also really informed a lot of the early thinking about data visualization. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. Predictive analytics, yeah, not so much.” He was saying this doesn’t belong just in statistics.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Jet Global

MAY 4, 2021

SAP Analytics Cloud (Embedded Analytics) – The SAP Analytics Cloud (SAC) was the evolution of several components aimed at business planning, predictive analytics, and data visualization.

Reporting 52

Reporting IT Finance Data Warehouse 52