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

Establishing data as a strategic asset is not easy and it depends on a lot of collaboration across an organization. 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. . Data lake management: Prevent a data swamp.

Government 59

Government Analytics Marketing Unstructured data 59

IBM Big Data Hub

OCTOBER 30, 2023

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. Adopting AI in business at scale is not without its challenges, including data privacy concerns, integration complexities and the need for skilled personnel.

Analytics 86

Analytics Retail Cloud Insurance 86

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

FEBRUARY 2, 2023

These developments have accelerated the adoption of hybrid-cloud data warehousing; industry analysts estimate that almost 50% 2 of enterprise data has been moved to the cloud. In addition, companies have complex data security requirements. What is holding back the other 50% of datasets on-premises?

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. As training data, it can also produce skewed ML models.

Analytics 92

Analytics Customer Experience Marketing Unstructured data 92

erwin

JUNE 27, 2019

For decades, data modeling has provided the optimal way to design and deploy new relational databases with high-quality data sources and support application development. In today’s hyper-competitive, data-driven business landscape , organizations are awash with data and the applications, databases and schema required to manage it.

Unstructured data 81

Unstructured data Metadata Analytics GDPR 81