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Delivering business value for insurance companies

Collibra

Recapping a discussion moderated by Stijn Christiaens and featuring insurance data experts from Deloitte UK . Insurance is a data-intensive business. Insurance companies need data to better assess risks and price policies competitively, but also profitably.

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Data Innovator Spotlight - Top 6 Characteristics of Data Innovators

Reltio

And, they uncover monetization opportunities with the right data. Data innovators support digital and customer experience transformations. They work on important and interesting initiatives like how to use customer data to create connected customer experiences and to drive hyper-personalization at scale.

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MetLife joins MIT Media Lab, eyes faster adoption of emerging technologies

Information Management Resources

The insurer will leverage the university's research in the Internet of Things, data science and machine learning to help improve the life underwriting process.

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Metromile: A FitBit for Your Car

John Battelle's Searchblog

But earlier this month I met with another perfect exemplar: Metromile , a company that is already upending industrial-age assumptions about what “insurance” should be.**. Metromile began as the brainchild of David Friedberg , co-founder and CEO of yet another information-first insurance breakout, Climate Corp. Simple, no?

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ABBYY Partners with Alteryx Extending the Alteryx Analytic Process Automation Platform with Deeper Process Intelligence

Info Source

The Alteryx APA Platform unifies analytics, data science and data-centric process automation in one self-service platform. ABBYY brings process intelligence to both data and operational processes to automate otherwise complex hand-offs. billion by 2024, and recognized ABBYY as a Leader in the category. About Alteryx.

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Don’t Follow the Money; Follow the Customer!

Bill Schmarzo - Dell EMC

If you complete the full Fluvastatin prescription, then we’ll reduce your monthly healthcare insurance payment by 5%.”. However this infatuation with following the money can actually lead organizations astray, and make the vulnerable to disruption and disintermediation from more nimble, more customer-focused organizations.

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Generative AI use cases for the enterprise

IBM Big Data Hub

Design content, ad campaigns and innovative products that build better customer experiences. Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types. Teamwork: Assemble a team with expertise in AI, data science and your industry.