Discover how EIS OneSuiteâ„¢ modernizes Individual Life & Annuities with a customer-centric, AI-native core. Reduce TCO, launch products faster, and modernize safely without custom code.
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Leading SaaS core platform provider to the US Group Benefits Market, EIS, has today announced the integration of market-leading absence management solution, AbsenceSoft, into its growing cloud-native ecosystem of best-in-class insurtech partners.
Gallagher Re’s comprehensive report into the state of the global insurtech industry outlined that while the first quarter of 2024 saw a downturn in investment, Q2 delivered a notable uptick in insurtech funding.
The global IT outage on July 19, 2024, has triggered a significant shift in the cyber insurance sector, prompting carriers and brokers to reevaluate and accelerate their approach to innovation.
Miloslavsky discusses the current insurance technology market and its challenges, and how EIS’s journey to SaaS positions the company for continued success.
Learn how Swiss Re's Magnum and EIS streamline underwriting, enhance efficiency, and boost satisfaction for digital transformation teams in the UK and Ireland.
Leading Caribbean general insurance provider, British Caribbean Insurance Company (BCIC) has today announced the launch of its omnichannel insurance ecosystem built on the EIS cloud-native SaaS platform and implemented by EY. The EIS SaaS platform will accelerate speed ...
AI is fighting customer frustrations and driving efficiency in insurtech, explains Nick Martindale, but it should augment, not replace, humans
When it comes to the insurance sector, politicians seem unable to grasp that this is one of the biggest – and well paid – employers in the UK, plus a massive generator of overseas payments. Truly global and competitive with the world’s best in every sector; Marine...
According to varying sources of research, Embedded Insurance is an estimated $2-3.7 trillion market. That’s the kind of new value potential that’s hard to ignore.
Rory Yates, chief strategy officer of EIS, explains why labelling everything as generative artificial intelligence is confusing at best, and at worst could be a very dangerous mistake.