omni:us

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11-50 employees

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omni:usposted this article•24 April 2019

🗓️ On July 5th, there will be no better place than #Berlin to discuss the future of the #insurance industry, the development of new technologies, their impact on customer experience and the entire value chain. Join the conversation! 👉 http://bit.ly/2Zxo3tZ

3rd Annual omni:us Machine Intelligence Summit | 5th July 2019, Berlin

Join us on July 5th 2019 in Berlin with some of the most brilliant minds in the field of AI to discuss the stakes of Deep Learning and Artificial Intelligence.https://omnius.com/mis?utm_content=90091474&utm_medium=social&utm_source=twitter&hss_channel=tw-794452044618797056

omni:usposted this article•25 March 2019

Swing by our booth tomorrow at the "Schadenmanagement & Assistance" event on #claims managment in Leipzig! Our Senior Sales Manager D.A.CH Mel Berg will be sharing more on the latest tools reaching customers’ demands. #vflmks Stand: 117

Messekongress "Schadenmanagement & Assistance"

Sichern Sie sich jetzt Ihren Platz: "Messekongress "Schadenmanagement & Assistance"", am 28.03.2017 in Leipzig. | Veranstalter: Versicherungsforen Leipzighttps://www.xing.com/events/messekongress-schadenmanagement-assistance-1716955#vflmks

omni:usposted this article•14 February 2019

5 places to get started with insurance big data by our CEO Sofie Quidenus-Wahlforss

5 places to get started with insurance big data

It’s no longer a question of if companies should use data; rather, the concern lies in how companies can effectively apply its insight.https://www.dig-in.com/opinion/5-places-to-get-started-with-insurance-big-data?hss_channel=lcp-17875636&utm_content=84998527&utm_medium=social&utm_source=linkedin

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omni:us wurde in 2015 in Berlin gegründet. Der Saas Anbieter für Künstliche Intelligenz ist auf Versicherungsunternehmen spezialisiert und beschleunigt deren Prozesse. omni:us entwickelt KI, damit Versicherer weniger auf den Prozess und mehr auf ihre Kunden fokussieren können. Ziel ist es, diese besser zu verstehen und über...

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