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Machine Learning & Geolocation data analytics: Enrich, Visualise and Predict

Join us for this Webinar to see a live demo – powered by the Vertica 9 Advanced Analytics Platform – that combines in-database geospatial functions with Machine Learning algorithms to increase the efficacy of business analytics for Retail and B2B Marketing.

By following our complete data science workflow, learn how you can extract new key insights by applying predictive analytics to a blend of classical business-rich data from a corporate data warehouse with new detailed localization data gathered from mobile applications and from IoT sensors.

In this session, Quantyca will show you:
• A live demo of predictive analytics on a real, complex GPS data set, containing all the taxi rides in the city of Oporto
• An end-to-end data science workflow, from the business problem statement to model synthesis of and their accuracy evaluation
• The development of temporal and geospatial analytics on classical logistics and marketing problems
• An understanding of the underlying business due to graphical visualizations of the model results and the integration of Vertica in-database analytics with self-service BI tools
Recorded Nov 23 2017 54 mins
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Presented by
Francesco Gianferrari Pini, Founder, Quantyca Italy and Carlo Arioli, EMEA Marketing Manager, Micro Focus
Presentation preview: Machine Learning & Geolocation data analytics:  Enrich, Visualise and Predict

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    Rob has a unique record of accomplishment in BI, Analytics and Data Science for industries like travel, gaming and retail commerce with roles in major online companies such as Spil Games and De Bijenkorf.
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  • Machine Learning & Geolocation data analytics: Enrich, Visualise and Predict Recorded: Nov 23 2017 54 mins
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    • A live demo of predictive analytics on a real, complex GPS data set, containing all the taxi rides in the city of Oporto
    • An end-to-end data science workflow, from the business problem statement to model synthesis of and their accuracy evaluation
    • The development of temporal and geospatial analytics on classical logistics and marketing problems
    • An understanding of the underlying business due to graphical visualizations of the model results and the integration of Vertica in-database analytics with self-service BI tools
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  • Title: Machine Learning & Geolocation data analytics: Enrich, Visualise and Predict
  • Live at: Nov 23 2017 4:30 pm
  • Presented by: Francesco Gianferrari Pini, Founder, Quantyca Italy and Carlo Arioli, EMEA Marketing Manager, Micro Focus
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