erwin

FEBRUARY 7, 2019

By implementing metadata-driven automation, organizations across industry can unleash the talents of their highly skilled, well paid data pros to focus on finding the goods: actionable insights that will fuel the business. This bureaucracy is rife with data management bottlenecks. Metadata-Driven Automation in the Insurance Industry.

Metadata 96

Metadata Insurance Data-driven Cost-Benefit 96

O'Reilly on Data

MARCH 20, 2019

So, whatever the commercial application of your model is, the attacker could dependably benefit from your model’s predictions—for example, by altering labels so your model learns to award large loans, large discounts, or small insurance premiums to people like themselves. Sometimes also known as an “exploratory integrity” attack.)

Modeling 278

Modeling Machine Learning Predictive Modeling Consulting 278

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk. Well, sort of.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

Information Builders

SEPTEMBER 21, 2015

Information Builders, a leader in business intelligence (BI) and analytics, information integrity, and integration solutions, today announced the availability of its Omni-Payer solution, the latest addition to its data integrity and integration arsenal.

Insurance 40

Insurance Management Business Intelligence Data Integration 40

AWS Big Data

JUNE 25, 2024

It provides secure, real-time access to Redshift data without copying, keeping enterprise data in place. This eliminates replication overhead and ensures access to current information, enhancing data integration while maintaining data integrity and efficiency.

Data Lake 112

Data Lake Cost-Benefit Data-driven Data Warehouse 112

CIO Business Intelligence

DECEMBER 18, 2023

As businesses speed up their digital transformation, solutions for application and data integration become key for modernizing applications and deploying AI effectively throughout the enterprise, IBM said in a news release announcing the deal. IDC predicts the worldwide integration software market will exceed $18.0 1,” IBM said.

Software 105

Software Digital Transformation Contextual Data Insurance 105

CIO Business Intelligence

JUNE 16, 2022

On its part, Amplitude recently launched a customer data platform with analytics capabilities complemented by an aggressive pricing strategy to take on rival vendors. Adobe this week also released its HIPAA-compliant, Real-Time CDP with Healthcare Shield.

B2B 104

B2B Insurance Sales Marketing 104

AWS Big Data

JUNE 26, 2023

Overview of solution In this post, we go through the various steps to apply ML-based fuzzy matching to harmonize customer data across two different datasets for auto and property insurance. Transform raw insurance data into CSV format acceptable to Neptune Bulk Loader , using an AWS Glue extract, transform, and load (ETL) job.

Insurance 88

Insurance Visualization Data Lake Metrics 88

CIO Business Intelligence

JUNE 7, 2022

It can be used to reveal structures in data — insurance firms might use cluster analysis to investigate why certain locations are associated with particular insurance claims, for instance.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

CIO Business Intelligence

APRIL 29, 2022

Despite soundings on this from leading thinkers such as Andrew Ng , the AI community remains largely oblivious to the important data management capabilities, practices, and – importantly – the tools that ensure the success of AI development and deployment. Further, data management activities don’t end once the AI model has been developed.

Data Governance 145

Data Governance IT Risk Data Lake 145

AWS Big Data

JANUARY 30, 2023

We examine a hypothetical insurance organization that issues commercial policies to small- and medium-scale businesses. The insurance prices vary based on several criteria, such as where the business is located, business type, earthquake or flood coverage, and so on. Let’s start with the full load job. option("header",True).schema(schema).load("s3://"+

Insurance 87

Insurance Data Lake Data-driven Management 87

CIO Business Intelligence

APRIL 28, 2022

Having disparate data sources housed in legacy systems can add further layers of complexity, causing issues around data integrity, data quality and data completeness. million in insurance fraud in just 7 months. .

Analytics 98

Analytics Insurance Big Data Uncertainty 98

erwin

DECEMBER 9, 2024

And if it isnt changing, its likely not being used within our organizations, so why would we use stagnant data to facilitate our use of AI? The key is understanding not IF, but HOW, our data fluctuates, and data observability can help us do just that.

Metadata 52

Metadata Data Quality Sales Modeling 52

CIO Business Intelligence

JUNE 13, 2022

Today, most banks, insurance companies, and other kinds of financial services firms have deployed natural language processing (NLP) tools to address some of their customer service needs. billion, and for insurance, the savings will approach $1.3 Data integration can also be challenging and should be planned for early in the project. .

Deep Learning 105

Deep Learning Data Processing Insurance Cost-Benefit 105

Data Virtualization

MARCH 18, 2024

Facing a range of regulations covering privacy, such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA), to financial regulations such as Dodd-Frank and Basel II, to.

Insurance 52

Insurance Data Integration Management Data Lake 52

Data Virtualization

MARCH 10, 2022

Reading Time: 4 minutes LDTI is the most significant change in decades to the existing accounting requirements under US Generally Accepted Accounting Principles (USGAAP) for long duration contracts that are non-cancellable or guaranteed renewable contracts such as life insurance, disability income, long-term care, and.

Insurance 52

Insurance Data Integration Management Data Governance 52

IBM Big Data Hub

OCTOBER 30, 2023

A leading insurance player in Japan leverages this technology to infuse AI into their operations. Real-time analytics on customer data — made possible by DB2’s high-speed processing on AWS — allows the company to offer personalized insurance packages.

Insurance 77

Insurance Data Warehouse Data-driven Unstructured Data 77

CIO Business Intelligence

MAY 2, 2022

On May 11, we’ll look at one of the most high-profile new consumer use cases of data: sports betting. Darryl Maraj, senior vice president and chief technology officer of the Digital Innovation Group at GA Telesis , will share how quick prototyping and other advances have made data integral part of the commercial aviation company’s business.

Advertising 98

Advertising Data Governance Insurance Data-driven 98

erwin

FEBRUARY 19, 2021

Automated enterprise metadata management provides greater accuracy and up to 70 percent acceleration in project delivery for data movement and/or deployment projects. It harvests metadata from various data sources and maps any data element from source to target and harmonize data integration across platforms.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

AWS Big Data

MAY 4, 2023

The rule requires health insurers to provide clear and concise information to consumers about their health plan benefits, including costs and coverage details. The Transparency in Coverage rule also requires insurers to make available data files that contain detailed information on the prices they negotiate with health care providers.

Insurance 89

Insurance Publishing Cost-Benefit Data Lake 89

AWS Big Data

MARCH 14, 2024

The unwavering reliability of Kafka aligns with our commitment to data integrity. The integration of Ruby services with Kafka is streamlined through the Karafka library, acting as a higher-level wrapper. Dynamic partitioning and consistent ordering ensure efficient message organization.

Management 121

Management Insurance Optimization Strategy 121

IBM Big Data Hub

NOVEMBER 10, 2023

The rule laid out an interoperability journey that supports seamless data exchange between payers and providers alike — enabling future functionalities and technically incremental use cases. These requirements enable the exchange of important data between healthcare payers and providers.

Cost-Benefit 95

Cost-Benefit Insurance Unstructured Data Consulting 95

datapine

AUGUST 20, 2019

Here are some of them: Marketing data: This type of data includes data generated from market segmentation, prospect targeting, prospect contact lists, web traffic data, website log data, etc. handle large data volumes and velocity by easily processing up to 100GB or larger files. Artificial Intelligence.

Big Data 100

Big Data B2B Cost-Benefit Structured Data 100

Jet Global

OCTOBER 28, 2021

Magnitude has become a leader in helping companies transform their data into a competitive advantage, offering self-service operational reporting and process analytics with an extensive library of customizable report templates for Oracle and SAP ERP systems.

Operational Reporting 83

Operational Reporting Data-driven Finance Reporting 83

Octopai

JUNE 26, 2020

Steve, the Head of Business Intelligence at a leading insurance company, pushed back in his office chair and stood up, waving his fists at the screen. We’re dealing with data day in and day out, but if isn’t accurate then it’s all for nothing!” Why aren’t the numbers in these reports matching up?

Metadata 98

Metadata Data Governance Enterprise Reporting 98

AWS Big Data

JUNE 6, 2023

You can access AWS Glue Data Quality from the AWS Glue Data Catalog, allowing data stewards to set up rules while they are using the Data Catalog. Pay-as-you-go and cost-effective – AWS Glue Data Quality is charged based on the compute used. Brian Ross is a Senior Software Development Manager at AWS.

Data Quality 97

Data Quality Statistics Data Lake Visualization 97

CIO Business Intelligence

OCTOBER 13, 2022

Citing an example, Pramanik says that if the discharge process for hospital patients holding a third-party health insurance, which typically takes five to eight hours, can be brought down to one hour with the help of technology intervention, a new patient can be admitted and given that bed faster, leading to substantial business gain.

ROI 132

ROI IT Sales Consulting 132

CIO Business Intelligence

NOVEMBER 18, 2022

Physician notes from visits and procedures, test results, and prescriptions are captured and added to the patient’s chart and reviewed by medical coding specialists, who work with tens of thousands of codes used by insurance companies to authorize billing and reimbursement. This is a dynamic view on data that evolves over time,” said Koll.

Insurance 75

Insurance Contextual Data Testing Unstructured Data 75

Ontotext

SEPTEMBER 2, 2020

Healthcare industries including pharma, biotech, agrochemical and insurance have been using knowledge graphs to improve discoverability in a number of new and innovative ways. By maintaining a referential knowledge bases, health insurance agencies have been able to automatically discover inconsistencies within insurance claims.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

Smart Data Collective

SEPTEMBER 25, 2019

million penalty for violating the Health Insurance Portability and Accountability Act, more commonly known as HIPAA. Whether you work remotely all the time or just occasionally, data encryption helps you stop information from falling into the wrong hands. It Supports Data Integrity.

Technology 102

Technology Statistics Strategy Insurance 102

Ontotext

AUGUST 5, 2020

Accessible are data that can be retrieved by the identifier via a standardized protocol that is open, free and universally implementable. Interoperable data refers to formal, accessible, shared, and broadly applicable language for knowledge representation which allows for data integration with other data sources without ambiguity.

Metadata 52

Metadata Insurance Manufacturing Data Integration 52

BizAcuity

APRIL 1, 2023

Introduction Informatica is a data integration tool based on ETL architecture. It provides data integration software and services for various businesses, industries and government organizations including telecommunication, health care, financial and insurance services. Some of these are listed below.

IT 52

IT Data Warehouse Cost-Benefit Data Integration 52

IBM Big Data Hub

JULY 28, 2023

As an independent software vendor (ISV), we at Primeur embed the Open Liberty Java runtime in our flagship data integration platform, DATA ONE. Primeur and DATA ONE As a smart data integration company, we at Primeur believe in simplification.

Data Integration 55

Data Integration Optimization Software Insurance 55

AWS Big Data

MARCH 27, 2024

AWS has invested in a zero-ETL (extract, transform, and load) future so that builders can focus more on creating value from data, instead of having to spend time preparing data for analysis.

Data Analytics 106

Data Analytics Analytics Data Warehouse Data Lake 106

AWS Big Data

AUGUST 3, 2023

Change data capture (CDC) is one of the most common design patterns to capture the changes made in the source database and reflect them to other data stores. a new version of AWS Glue that accelerates data integration workloads in AWS.

Data Lake 88

Data Lake Visualization Dashboards Insurance 88

Birst BI

OCTOBER 30, 2018

The output of these algorithms, when used in financial services, can be anything from a customer behavior score to a prediction of future trading trends, to flagging a fraudulent insurance claim. Automate the data processing sequence. By providing proactive customer care to potential at-risk customers, cancelation may be averted.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

AWS Big Data

FEBRUARY 21, 2023

Loading complex multi-point datasets into a dimensional model, identifying issues, and validating data integrity of the aggregated and merged data points are the biggest challenges that clinical quality management systems face.

Data Warehouse 71

Data Warehouse Data Lake Cost-Benefit Metadata 71