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

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 57

Cloud Analytics Unstructured data Compliance 57

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 84

Analytics Retail Cloud Insurance 84

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 87

Artificial Intelligence Retail Unstructured data Insurance 87

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 105

Insurance Digital transformation Customer Experience Cloud 105

Everteam

APRIL 2, 2019

Much of this information is dark content hidden in silos across the organization including file shares, cloud-based collaboration tools such as SharePoint, Office 365 and Google Drive, as well as a range of business applications. It’s critical to organize, classify and manage properly, ensuring it adheres to defined retention policies.

Information governance 40

Information governance Marketing Government Digital transformation 40

Collibra

SEPTEMBER 9, 2022

In this blog post, let’s discuss some of the most common data quality issues and how we can tackle them. . Duplicate data. Modern organizations face an onslaught of data from all directions – local databases, cloud data lakes, and streaming data. The most common data quality problem statements.

Analytics 92

Analytics Customer Experience Marketing Unstructured data 92