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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.
  • How Face Recognition Technology Shapes the Future across Multiple Industries

    face recognition technology

    The last decade has been a good one for face recognition technology. Although it has existed since the 1960s, any large-scale attempts to successfully implement it failed. The main reason being that it lacks precision and scalability. Everything changed in the late 2000s. In 2011, both the Pinellas County Sheriff’s Office and Panama’s Tocumen airport…

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  • How to Use Semantic Search to Increase Conversion

    semantic search

    The concept of the semantic search was first introduced in already in 1998, but it remained mostly a theoretical concept until 2012 when Google, Facebook and Bing started launching their own products using semantic search. Two trends pushed semantic search from concept to reality: an increase in long tail searches and a demand from users…

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  • What is Predictive Models Performance Evaluation and Why it is Important

    Predictive Models Performance Evaluation

    Predictive models have become a trusted advisor to many businesses, and for a good reason. These models can “predict the future”, and there are many different techniques available, meaning any industry can find one that fits their particular challenges. However, the abundance of predictive modeling techniques and software libraries means that there are multiple models…

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  • Deep Learning: Strengths and Challenges

    deep learning strengths and challenges

    Deep learning is largely responsible for today’s growth in the use of AI. The technology has given computers extraordinary powers, such as the ability to recognize speech almost as good as a human being, a skill too tricky to code by hand. Deep learning has also transformed computer vision and dramatically improved machine translation. It…

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  • Using Multilevel Modeling for Secure and Effective Dam Operation and Floods Prediction

    Multilevel modeling

    Floods are among Earth’s most common and most destructive natural hazards. Floods occur when water overflows the land that is normally dry. Excessive rains can also lead to dams rapture or simple water overflow, which causes unwanted consequences for downstream settlements and unoptimized electricity production. Most floods take hours and even days to develop, giving…

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  • 6 Data Collection Rules for Your Future Perfect Machine Learning Dataset

    data collection process

    Modern companies produce gigantic amounts of data. Later it becomes a part of their machine learning datasets. Those are further used to build models that aim to solve various problems business may face, and make it more profitable, customer-oriented and, of course, data-driven. Machine Learning depends heavily on data, that makes algorithm training possible.  Regardless…

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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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  • 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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