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 53

Insurance Digital transformation Compliance Cloud 53

IBM Big Data Hub

FEBRUARY 2, 2023

The rise of cloud has allowed data warehouses to provide new capabilities such as cost-effective data storage at petabyte scale, highly scalable compute and storage, pay-as-you-go pricing and fully managed service delivery. In 2021, cloud databases accounted for 85% 1 of the market growth in databases.

Cloud 56

Cloud Analytics Unstructured data Compliance 56

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. AWS, on the other hand, provides robust, scalable cloud infrastructure.

Analytics 78

Analytics Retail Cloud Insurance 78

IBM Big Data Hub

FEBRUARY 14, 2024

Using generative AI with code generation capabilities can also enable hybrid cloud developers of all experience levels to migrate and modernize legacy application code at scale, to new target platforms with code consistency, fewer errors, and speed.

Artificial Intelligence 82

Artificial Intelligence Retail Unstructured data Insurance 82

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 97

Insurance Digital transformation Customer Experience Cloud 97

Collibra

SEPTEMBER 9, 2022

Data-driven organizations are depending on modern technologies and AI to get the most out of their data assets. But they struggle with data quality issues all the time. Incomplete or inaccurate data, security problems, hidden data – the list is endless. Duplicate data. Description.

Analytics 92

Analytics Customer Experience Marketing Unstructured data 92

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. But new technologies give us more power than ever to crunch data.

Unstructured data 71

Unstructured data B2B Access Financial Services 71