IBM Big Data Hub

DECEMBER 1, 2023

Insurers struggle to manage profitability while trying to grow their businesses and retain clients. Large, well-established insurance companies have a reputation of being very conservative in their decision making, and they have been slow to adopt new technologies.

Insurance 98

Insurance Digital transformation Customer Experience Cloud 98

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 54

Insurance Digital transformation Compliance Cloud 54

Thales Cloud Protection & Licensing

JANUARY 15, 2024

Although a bank is still a bank, there are far more financial institutions needing to be supervised these days, from fintech organisations that offer payment services and trust fund management, to insurers that have changed their scope, to clearing houses and more. Who needs access rights? Do they still work in the same position?

Unstructured data 71

Unstructured data B2B Access Financial Services 71

IBM Big Data Hub

OCTOBER 30, 2023

Adopting AI in business at scale is not without its challenges, including data privacy concerns, integration complexities and the need for skilled personnel. Scaling AI in business presents unique challenges: Data accessibility : Fragmented and siloed data stifle advancement.

Analytics 78

Analytics Retail Cloud Insurance 78

IBM Big Data Hub

NOVEMBER 10, 2023

This means large amounts of data being produced, stored, and exchanged every second, which is also subject of inefficiencies and gaps in its access between patients, providers, and payers given the inconsistencies in how healthcare data interoperability standards are implemented.

CMS 97

CMS Artificial Intelligence Unstructured data Insurance 97

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 56

Cloud Analytics Unstructured data Compliance 56

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