Empowering Claims Professionals: Find the Optimum Blend of Humans and Tech
There are still many manual tasks and hand-offs taking place throughout the claims process. For
Our company updates & AI insurance articles.
There are still many manual tasks and hand-offs taking place throughout the claims process. For
We want you to work faster and work smarter. It is our constant endeavor to
Property/casualty insurers were on the path to increasing automation in the FNOL (first notice
We are constantly working towards providing you with the latest technology to minimize your effort
This page is a translation of a German language interview conducted by insurance magazine Versicherungswirtschaft
It’s no secret that the P&C insurance industry has enormous volumes of unstructured data that
“Just give me all your data and I’ll fix your problems.” If I had a
Spotlight on New Features Our teams are constantly working to bring the latest innovation into
The documentation of the practical settlement of claims with these old sets of conditions has not been done comprehensively everywhere. The consequence is a considerable additional effort in the settlement of claims for the younger claims adjusters as well as errors in the settlement.
Understanding data integrity is the Rosetta Stone for collecting, interpreting, translating, and communicating the “how”
omni:us begins 2021 with the appointment of a new Chief Technology Officer, Jörg Niestroj. Due
BERLIN, 24 November 2020 – The omni:us management team is pleased to announce a new
Spotlight on New features MULTI-USE CASE SUPPORT The omni:us AI Platform now supports
As might have been expected, insurers are seeing a decline in new business as a
omni:us is proud to be one of Europe‘s Horizon2020 SME-Instrument and Fet Flag Champions.
We are grateful to have received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No 820323; 850053.
Co-financed by European Fund for Regional Development (EFRE)
Pro Fit-Project “Vollautomatisierung der Wertschöpfungskette im Digitalisierungsprozess von Archivdaten” with support of IBB/EFRE in 2016/2017.
Copyright © 2024 Qidenus Group GmbH. All rights reserved.