Remove Data science Remove Examples Remove Financial Services Remove Insurance
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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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Metromile: A FitBit for Your Car

John Battelle's Searchblog

Ever since writing Living Systems and The Information First Company last Fall, I’ve been citing Earnest , the financial services startup, as a poster child for what I mean by an “information-first” company. But I figured the company was up to more than just a cheaper insurance product. 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.

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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.

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#ModernDataMasters: Michele Chambers, AWS

Reltio

If you keep doing the same things with the same data you will get the same results and everyone wants new results. You have to infuse your data with new data – use behavioural and operational data together for example – if you want new insights.

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The Role of Master Data Management in Enabling Omnichannel Connected Customer Experiences

Reltio

This strategy requires a tight interlock between the data strategy and technology and customer experience processes. . You can't deliver omnichannel connected customer experiences if your data is disconnected across functional silos. Now Tech: Customer Data Management Solutions, Q1 2020, by Noel Yuhanna, Forrester Research, Inc.,