Trust Science

@TrustScience

Patented Social Indexing, Profitable decision-making based on the SIX°SCORE

Vrijeme pridruživanja: listopad 2014.

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  1. Prikvačeni tweet
    12. ruj 2019.

    Confused about what's actually possible with data and loan underwriting? Register here!

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  2. prije 7 sati

    Alternative data in underwriting by banks, credit unions, and non-bank financial firms gets support from federal regulators earlier last month.

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  3. prije 9 sati

    Improve your and profitability. Our and models and custom scores can help you automate your decisioning. Learn more:

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  4. prije 10 sati

    Innovative fintech solutions that involve have the opportunity to decrease the cost of underwriting while positively impacting the underserved population.

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  5. prije 12 sati

    and machine learning are accelerating the pace of change in finance, offering personalized experiences to automated scoring.

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  6. prije 14 sati

    Alternative data can help score 1/3 of underbanked Americans. Our blog covers key benefits, considerations, and next steps in implementing alternative data for credit scoring.

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  7. 4. velj

    Last month the FTC and CFPB hosted a public workshop to discuss credit reporting, including the use of non-traditional data in credit reports and .

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  8. 4. velj

    Implementing AI into your lending in 2020? Read our 2nd blog of the series, where we cover the importance of data ontology in big data loan underwriting.

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  9. 4. velj

    Federal banking regulators recognize the impact that alternative data has in credit scoring thin and no file consumers.

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  10. 4. velj

    Digital lending is on the rise as a top fintech trend for 2020. Trust Science's digital lending platform can help.

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  11. 4. velj

    Gartner estimates that 80% of enterprise data is made up of unstructured data. Read the 1st of our blog series that covers topics in structured and unstructured data for data-driven .

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  12. 3. velj

    Our goal of targeting a dozen LOS partnerships by yearend and more are featured in the latest article. Check it out here:

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  13. 3. velj

    Implementing AI into your lending in 2020? Read our 2nd blog of the series, where we cover the importance of data ontology in big data loan underwriting.

    Poništi
  14. 3. velj

    Implementing AI in your lending? Learn some best practices and key considerations to manage risk when building AI into your business.

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  15. 3. velj

    Execs are concerned with how they can integrate massive amounts of data seamlessly into their business. Let Trust Science do the heavy lifting. We combine various datasets into our models for you.

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  16. 3. velj

    Want to have accurate ? Read the first of our two part blog series on how you can build a model.

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  17. 2. velj

    Accoridng to Forbes, first movers in in will become the industry’s long-term winners. Find out why.

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  18. 2. velj

    Certain races and ethnicities receive unfair discrimination in . Trust Science's reduce biases in face-to-face lending and are fully explainable with adverse reason codes.

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  19. 2. velj

    Gartner estimates that 80% of enterprise data is made up of unstructured data. Read the 1st of our blog series that covers topics in structured and unstructured data for data-driven .

    Poništi
  20. 1. velj

    Our goal of targeting a dozen LOS partnerships by yearend and more are featured in the latest article. Check it out here:

    Poništi
  21. 1. velj

    Fintechs are better serving the by prioritzing the consumer experience through . Trust Science can help you serve the unbanked with predictive models.

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