The Center for Data Innovation released an excellent piece on “Who Is Winning the AI Race: China, the EU or the United States?” last summer, which I only got around to reading over Christmas. It brought to mind a few questions on the global state of things when it comes to AI and insurtech… omni:us is an international company with a solid presence in North America,… Continue Reading
The Center for Data Innovation released an excellent piece on “Who Is Winning the AI Race: China, the EU or the United States?” last summer, which I only got around to reading over Christmas. It brought to mind a few questions on the global state of things when it comes to AI and insurtech… omni:us is an international company with… Continue Reading
In the last few years, more and more companies have been examining whether it would be economically viable to integrate an AI application into their strategies and how it could be achieved. It is clear that in the future, AI will be more efficient than humans when it comes to intensive, repetitive tasks. Identifying the relevant areas for use is… Continue Reading
You may think that the insurance industry only gained momentum in the 20th century with the rise of other white-collar jobs, but the idea of mitigating risk dates back to ancient civilisations. Even the Code of Hammurabi, one of the first forms of law in existence, included an early insurance policy in the form of a clause that safeguarded a… Continue Reading
You may think that the insurance industry only gained momentum in the 20th century with the rise of other white-collar jobs, but the idea of mitigating risk dates back to ancient civilisations. Even the Code of Hammurabi, one of the first forms of law in existence, included an early insurance policy in the form of a clause that safeguarded a… Continue Reading
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.
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