Category: Identity Resolution

  • Need to Know Your Customer (KYC)?  Identity Resolution Can Help

    February 11, 2019

    Need to Know Your Customer (KYC)? Identity Resolution Can Help

    Financial institutions are required to screen their customers to avoid unwittingly aiding in illicit activities. In today's global economy, the screening must be robust and in real time.

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  • Ensure Successful Mergers & Acquisitions with AI-based Identity Resolution

    December 17, 2018

    Ensure Successful Mergers & Acquisitions with AI-based Identity Resolution

    Realizing the many efficiencies and synergies of M&A depends critically on combining data systems from the organizations involved in an accurate and timely manner. That’s no small feat.

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  • Entity Extraction: A Must-Have for Due Diligence in a Global Economy

    November 26, 2018

    Entity Extraction: A Must-Have for Due Diligence in a Global Economy

    Performing due diligence in today’s fast-moving global economy requires screening prospective customers, partners, and new employees coming from disparate and often geographically distant backgrounds. Is that even possible?

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  • How Identity Resolution Helps to Increase Voter Participation

    November 15, 2018

    How Identity Resolution Helps to Increase Voter Participation

    In an election the winner is determined by whose message resonates best with the electorate. At its core, understanding the electorate as a whole is an Identity Resolution problem.

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  • Identity Resolution and the Customer Stitching Puzzle

    October 17, 2018

    Identity Resolution and the Customer Stitching Puzzle

    Consumers often interact with businesses through multiple channels, transactions, apps, and stores. Building a unified record for each customer is like assembling individual pictures out of a giant pile of jigsaw puzzle pieces.

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  • Reduce Errors in Consumer Reports with AI-Based Identity Resolution

    September 10, 2018

    Reduce Errors in Consumer Reports with AI-Based Identity Resolution

    Producing accurate consumer reports from multiple sources is a challenging task where errors are not uncommon. With so much at stake for hundreds of millions of consumers, how can the accuracy of consumer reports be maximized?

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