Blogs

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    How about saving up to 40% of your time in the data preparation? | Geomatic

    Geomatic, Data Played Better,

    The main challenge for any organisation that wants to start working with ML & AI, is to understand where to start. Maybe you already have a team of data scientists to build models or you are investing on this journey; but most of their time is & will be spent on the data preparation stages – wouldn’t it be great to fast track them direct to model building? In any data science team, it is the model building and model deployment that is considered the value-adding part. Preparing for this is a key necessity; but it’s also a very time- and resource consuming activity.

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  • AI: From Buzzword to Bottom Line | Geomatic

    Geomatic, Data Played Better,

    In recent years, we have been overflooded with artificial intelligence, and quite regularly we are using the concept as a synonym for machine learning. Even though Al is hot, there is a long way to fall in love with the concept to be able to implement it in the business and measure it on the bottom line. But this is about to change within the Business AI

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  • Blog: You need a strategy to succeed | Geomatic

    Geomatic, Data Played Better,

    How to start your AI journey and how data and analytics should play in your company; what business questions do you need data to answer?

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  • Blog: 5 Pieces of Advice for Value-Adding Data Science | Geomatic

    Geomatic, Data Played Better,

    The value-adding data science is the work you see on your bottom line; it improves conversion rates, retention rates and/or your revenue per customer. As in so many aspects of life, value-added data science demands prioritisation of time, money, and – if you do not have these competencies in-house – a good business partner. We provide you 5 pieces of advice to value-added data science based on the 5 typical pit falls identified in our recent study of data collection and use among B2C companies

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  • B2C Companies on Data and Segmentation | Geomatic

    Geomatic, Data Played Better,

    A new analysis of B2C companies collection and use of data disclose how the companies estimate their own data science. Read the whole analysis in our white paper

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