IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. A leading insurance player in Japan leverages this technology to infuse AI into their operations.

Insurance 86

Insurance Data Warehouse Data-driven Unstructured Data 86

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.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

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 105

Cost-Benefit Insurance Consulting Unstructured Data 105

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

The risk is that the organization creates a valuable asset with years of expertise and experience that is directly relevant to the organization and that valuable asset can one day cross the street to your competitors. For efficient drug discovery, linked data is key.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

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. And for data models that can be directly reported, a dimensional model can be developed.

Data Warehouse 63

Data Warehouse Data Lake Cost-Benefit Modeling 63

Alation

FEBRUARY 10, 2022

Data classification is necessary for leveraging data effectively and efficiently. Effective data classification helps mitigate risk, maintain governance and compliance, improve efficiencies, and help businesses understand and better use data. Mitigate Security Risk. Then, it labels them accordingly.

Data Governance 52

Data Governance Risk Insurance Strategy 52