Application of Machine Learning Techniques and Algorithms in Customer Analytics

Blueocean Market Intelligence

Join blueocean market intelligence's Senior Vice President of Analytics, Durjoy Patranabish, and Analytics Operations and Delivery Lead, Eron Kar, as they speak to the advantages and disadvantages of machine learning algorithms versus traditional statistical modelling approaches to solve complex business problems. Designed especially for organizations who have already embarked on the predictive analytics journey, they will discuss when it is appropriate to use machine learning in customer analytics, and areas where traditional statistics fail to deliver.Professionals who are interested in (predictive) analytics on Big Data, fast and highly scalable analytics for business decisions, or improving the accuracy and stability of predictive analytics are highly encouraged to attend.
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Traffic crashes remain one of the leading causes of fatalities in the US and despite many safety features and improvements the number of fatalities on the roads have been increasing. To combat this epidemic government and transportation authorities must shift the way they manage traffic safety from a reactive to a proactive approach. New advancements in Artificial Intelligence combined with contextual in-vehicle data can help illuminate areas that are at risk of an incident, before they occur.


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PEAK Grantmaking

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Spotlight

Traffic crashes remain one of the leading causes of fatalities in the US and despite many safety features and improvements the number of fatalities on the roads have been increasing. To combat this epidemic government and transportation authorities must shift the way they manage traffic safety from a reactive to a proactive approach. New advancements in Artificial Intelligence combined with contextual in-vehicle data can help illuminate areas that are at risk of an incident, before they occur.

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