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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

Self-driving cars excel at navigating roads and supercomputers like IBM Watson ® can analyze vast amounts of data. Regardless, these are examples of narrow AI. Image (55%): Gen AI can simulate how a product might look in a customer’s home or reconstruct an accident scene to assess insurance claims and liability.

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The risks and limitations of AI in insurance

IBM Big Data Hub

In my previous post , I described the different capabilities of both discriminative and generative AI, and sketched a world of opportunities where AI changes the way that insurers and insured would interact. Usage risk—inaccuracy The performance of an AI system heavily depends on the data from which it learns.

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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. Drivers for cloud adoption.

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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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Data Innovator Spotlight - Top 6 Characteristics of Data Innovators

Reltio

Well versed in speaking to business leaders, data innovators know how to secure leadership buy-in and investment by connecting the dots between data initiatives and business value. Some of the transformations our data innovator customers are powering include. hyper-personalization at scale. digital innovation. Be a change agent.

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#ModernDataMasters: Martin Squires, The Analysis Foundry

Reltio

Martin Squires is a leader with extensive experience in customer insight, marketing analytics & data science. Selected for the last 5 years as a member of the Data IQ Data 100 , Martin has considerable experience helping organisations drive value from building a deeper understanding of their customers.