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  • Brand Identity Issues: How Does Logo Detection Work for Effective Marketing Campaign?

    logo-detection-and-brand-monitoring

    Social media has evolved into the principle method of communicating ideas, sharing experience, brand stories, and building communities. The user engagement with ads on Facebook has tripled in the last 2 years, as Hootsuite reports. So far, more than 60% of users discover brands and goods on Instagram, employ such apps as Like2Buy that allows…

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  • How OCR Can Help Employees Fight Through Most Mundane Tasks

    optical character recognition

    These days, office employees need an AI hero. Can you imagine the number of hours wasted on handling a paper-based workflow? Isn’t it time to save employees from piles of paper? No one is saying it will be easy to eliminate paper documents promptly. For instance, in the legal sphere where the cost of a…

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  • AI at the Forefront of Digital Transformation Process in 2018

    Digital transformation definition Digital transformation has been a big topic for a few years now, and it has many definitions. From a business perspective, digital transformation is about leveraging digital technologies to improve processes, competencies, and business models. It is also about changing the culture of the company because it requires letting go of old…

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  • A 7-step Guide to GDPR Compliant Software Development

    GDPR compliant software development

    The GDPR, or General Data Privacy Regulation, is coming into force already in May this year. The regulation requires businesses to protect the personal data and privacy of EU residents. And non-compliance could cost companies dearly. GDPR pertains to the full data life cycle, including the gathering, storage, usage, and retention of data. GDPR applies…

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  • Keys to building robust data infrastructure for a data science project

    Keys to building robust data infrastructure for a data science project

    Ones you decide to leverage data science techniques in your company, it is time to make sure the data infrastructure is ready for it. Starting a data science project is a big investment, not just a financial one. It involves a lot of time, effort, and preparatory work. Data science is about leveraging a company’s data…

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  • Converting Spark RDD to DataFrame and Dataset. Expert Opinion.

    Spark RDD to DataFrame

    Generally speaking, Spark provides 3 main abstractions to work with it. First, we will provide you with a holistic view of all of them in one place. Second, we will explore each option with examples. RDD (Resilient Distributed Dataset). The main approach to work with unstructured data. Pretty similar to a distributed collection that is…

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