Clear your calendar - It's going down! Data Science Summit MTL 2015 kicks off on October 28th, and you're invited to take part in this unique event. La Commune (440 Place Jacques Cartier) is our meeting spot for a day of data science best practices sharing. Come one, come all, bring a colleague, and hang loose. This is going to be epic! Data Scientists in Montreal rock!
And spread the word using #DSSMTL15
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Bandsintown improves the concert-going experience for millions of fans around the world and helps thousands of artists of all sizes and genres to better connect with their core audience.
Since March 2014, Bandsintown developped a Big Data Platform building on Hadoop, Cassandra and Tableau.
That turn of technology operated an inside revolution in the company, installing a data driven culture and leading to new features and the monetisation of innovative products : fans can discover emerging new artists, artists are provided with insightful data to prepare their tour, events promoters are helped in making decision on which successful artist they should book.
Analytics is a key ingredient of the organisational transformation at National Bank, in the marketing sector. The successful contribution of the Data Scientist relies on many factors, including deep enterprise data knowledge, sound methods and strong business acumen, but a good analytical culture and efficient processes will really bring the most value out of that new role. We will discuss the learnings and observations that were made during our journey towards analytical maturity.
L'analytique se trouve au coeur de la transformation marketing à la Banque Nationale. L'émergence du Data Scientist au sein de l'organisation repose sur la connaissance de la donnée et d'affaires, mais aussi surtout sur un changement culturel et une adoption de nouvelles façons de travailler. Nous vous partagerons les apprentissages acquis à ce jour durant notre parcours vers la maturité analytique organisationnelle.
Why the end of IT department will help data-scientist and Data-Science empowered by ipython notebook?
In the first part of this talk, we will explain why IT department are a major blocker to data-science and how to bypass them in the short term. To conclude, we will show why ipython notebook is the future of data-scientist practitioner with concrete examples.
Frédérick Guillot, Manager Research and Analytics, Co-operators
Sylvain Pannetier-Lebeuf, Analyst, Research & Analytics, Co-Operators
Le rôle du data scientist dans une équipe de recherche et développement d’une compagnie d’assurance
Nous discuterons en deux temps de certains projets marquants qui ont bâti la renommée de l’équipe de recherche et analytique de Co-operators au cours des dernières années. Dans un premier temps, nous porterons un regard plus général sur le contexte d’affaire des projets, puis nous entreront par la suite dans les détails techniques qui ont mené à la résolution des problématiques. Les exemples abordés s’apparenteront majoritairement au domaine de l’assurance dommages, mais plusieurs éléments de notre démarche demeure applicable à toutes les autres industrie où l’analytique avancée est utilisée.
Geometric Algebra and Scheme Theory has led to new generation of artificial intelligence approaches and technics that bring advanced analytics much closer to human intelligence. Learn more about Alexander Grothendieck and how discover how those technologies are applied in Finance and Fraud detection.
Agile data science. Jeremy will introduce simple algorithms, tools and techniques that are available to anyone with a laptop or a cloud computing account. These enable data scientists to be more agile, and can be used to quickly and iteratively solve many data science problems without the complexity of installing and using "big data" tools. He will show several real-world examples in the domains of personalization and recommendation, as well as pointers on how to scale up once the data does get bigger.
Clear your calendar - It's going down! Data Science Summit MTL 2015 kicks off on October 28th, and you're invited to take part in this unique event. La Commune (440 Place Jacques Cartier) is our meeting spot for a day of data science best practices sharing. Come one, come all, bring a colleague, and hang loose. This is going to be epic! Data Scientists in Montreal rock!