IBM Big Data Hub

DECEMBER 4, 2023

IBM can help insurance companies insert generative AI into their business processes IBM is one of a few companies globally that can bring together the range of capabilities needed to completely transform the way insurance is marketed, sold, underwritten, serviced and paid for.

Insurance 56

Insurance Digital transformation Compliance Cloud 56

Collibra

DECEMBER 1, 2020

However, once you have a system of record in place for your data, your organization can implement many valuable data governance use cases more easily. . In this post, we’ll highlight the top three most valuable data governance use cases. The data structure and requirements are not defined until the data is needed.

Government 59

Government Analytics Marketing Unstructured data 59

Everteam

APRIL 2, 2019

To support organizations in their efforts to manage their information properly, Spigraph is making two Everteam governance products available: everteam.discover and everteam.policy: everteam.discover is a file and content analytics solution that connects to both structured and unstructured data repositories across the organization.

Information governance 40

Information governance Marketing Government Digital transformation 40

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.

Analytics 86

Analytics Retail Cloud Insurance 86

IBM Big Data Hub

FEBRUARY 2, 2023

Organizations looking to increase adoption of ML are turning to cloud data warehouses that support new, open data formats to catalog, ingest, and query unstructured data types.

Cloud 57

Cloud Analytics Unstructured data Compliance 57

Collibra

SEPTEMBER 9, 2022

The impact of data quality is directly seen in lower revenue and higher operational costs, both resulting in financial loss. Data quality significantly influences the organizational efforts in governance and compliance, leading to additional rework and delay. The most common data quality problem statements. Description.

Analytics 105

Analytics Customer Experience Marketing Unstructured data 105

erwin

JUNE 27, 2019

Additional challenges, such as increasing regulatory pressures – from the General Data Protection Regulation (GDPR) to the Health Insurance Privacy and Portability Act (HIPPA) – and growing stores of unstructured data also underscore the increasing importance of a data modeling tool.

Unstructured data 81

Unstructured data Metadata Analytics GDPR 81