Finance Derivative: How insurance benefits from the implementation of AI and Big Data
http://www.financederivative.com/how-insurance-benefits-from-the-implementation-of-ai-and-big-data/
Our company updates & AI insurance articles.
http://www.financederivative.com/how-insurance-benefits-from-the-implementation-of-ai-and-big-data/
You are currently viewing a placeholder content from Default. To access the actual content, click
https://www.forbes.com/sites/ginaclarke/2019/01/21/how-your-insurance-quote-is-powered-by-artificial-intelligence/
https://www.forbes.com/sites/ginaclarke/2019/01/21/how-your-insurance-quote-is-powered-by-artificial-intelligence/#1fb6c8432811
https://www.forbes.com/sites/ginaclarke/2019/01/21/how-your-insurance-quote-is-powered-by-artificial-intelligence/
Capgemini’s World Insurance Report 2019 unsurprisingly showed some discrepancies between the desires of insurtechs and incumbents
https://www.trendingtopics.at/omnius-wie-oesterreichische-gruender-in-berlin-den-insurtech-markt-aufmischen/
https://www.finanzchef24.de/service/studien/studie-insurtech-finanzierungen-2018
https://www.pfefferminzia.de/versicherungsbranche-mit-abstand-die-interessanteste-wie-bedrohlich-ist-kuenstliche/
You are currently viewing a placeholder content from Default. To access the actual content, click
Last week omni:us held a 1-day workshop about our favourite industry. And it’s safe to
https://www.sueddeutsche.de/wirtschaft/ki-arbeit-roboter-1.4516090
https://www.capital.de/karriere/diese-tech-gruenderinnen-sollten-sie-kennen
Berlin, 20 September 2019 – omni:us, the insurance-focussed artificial intelligence (AI) solution business, has been
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.
