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Here you’ll find all the latest thinking in Data Science along with case studies, company news and other useful resources to move your business forward in Big Data Analytics.
  • 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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  • 5 Things you Must Consider to Maximize the Value of your Company’s Predictive Analytics and Machine Learning Initiatives

    predictive analytics and machine learning

    Investigating company data for insights is a well known and widely adopted practice. However, using predictive analytics and machine learning is the next frontier in data analysis. The ability to predict future outcomes is what sets predictive analytics apart from other analytics used today, such as descriptive analytics, which gives answer to the question “what…

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  • How to Design Better Machine Learning Systems with Machine Learning Canvas

    Design better machine learning systems wirh machine learning canvas

    Machine Learning Canvas is a template for designing and documenting machine learning systems. It has an advantage over a simple text document because the canvas addresses the key components of a machine learning system with simple blocks that are arranged based on their relevance to each other. This tool has become popular because it simplifies the visualization of a complex project and helps to start a structured conversation about it.

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  • 3 Criteria for a Successful Machine Learning Project

    A checklist for a successful machine learning project

    Many companies are taking advantage of the latest AI and machine learning technologies to create better products and services. If you consider joining their ranks, you are wise to do so. However, before diving into a new machine learning project you need to make sure that you have identified the best opportunity for your company….

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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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  • The Most Exciting Applications of Computer Vision across Industries

    Computer Vision Applications across Industries

    Computer vision has come a long way in terms of what it can do for different industries. Now that the technology has finally caught up the original ideas of computer vision pioneers from the 70s, we are seeing more exciting computer vision applications across different industries.

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  • How Visual Search Is Disrupting The Retail Industry

    Visual search is disrupting the retail industry

    E-commerce and retail industry have changed drastically in recent years. Young, tech-savvy shoppers are demanding smarter shopping experience where the journey from discovery of a product to check-out is as short as possible. To deliver such experience, companies are turning to AI for help.

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  • 3 Reasons to Adopt Data Strategy in 2018

    data strategy

    It is true that data boom continues and the digital economy of 2018 is driven by data and the challenge of turning it into facts, insights, and trends. Data is the critical resource of our age, that is why today’s data strategy encompasses far more than how to store it. The most important functions of…

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  • Using Data Science to Grow Your Business: 3 Key Areas to Consider

    Using data science to grow your business

    Data science can have incredible benefits for your business but it’s important to understand that it’s a solution to a problem, not a way to find the problem. It means that if your company has a lot of data that you don’t quite know what to do with, you need to figure out what you…

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