The NetOwl Blog

  • 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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  • Why Sentiment Analysis is a Necessity for the Hotel Industry

    December 03, 2018

    Why Sentiment Analysis is a Necessity for the Hotel Industry

    Millions of hotel reviews, fast spreading news, amplifying social media platforms, and fierce competition are some of the challenges the hotel industry faces in the digital era. These new times and challenges call for advanced technology solutions.

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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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  • Sentiment Analysis Saves the Day for Airlines

    November 01, 2018

    Sentiment Analysis Saves the Day for Airlines

    In a competitive industry where customers often turn to social media to comment on their experiences, Sentiment Analysis is a must. And for reasons that go beyond customer care and brand protection.

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  • Entity Extraction: The AI Key to Unlock Your Unstructured Big Data

    October 26, 2018

    Entity Extraction: The AI Key to Unlock Your Unstructured Big Data

    Here is a very common scenario for customers coming to us: daunting amounts of unstructured text data from a variety of sources, languages, and formats. How does one go about gleaning intelligence from Big Data?

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