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[Virtual Meetup] Personalised Recommendations w/ Skyscanner

Presented by

Maria Prosviryakova - Senior ML Engineer at Skyscanner

About this talk

Looking for places to travel next in these uncertain times? Interested in finding great deals in safe destinations? Skyscanner's personalised recommendations can save your precious decision time! In this talk, Maria Prosviryakova, Senior Machine Learning Engineer at Skyscanner, will share the journey from a simple yet impactful collaborative filtering model to deep learning-powered destinations recommendations. Maria will touch upon the architecture of the real-time recommender system that relies on ML pipelines and MLflow and is orchestrated using Apache Airflow. She will also discuss challenges faced on the road to production, and how the personalised recommendations increased Skyscanner's engagement metrics. Speaker bio: Maria Prosviryakova is currently working as a Senior ML Engineer at Skyscanner. Maria holds an MS degree in Statistics and has 7+ years of experience working as a data scientist across different industries and locations: finance in New York, e-commerce in Buenos Aires and the travel industry in Barcelona. She now specialises in recommender systems and ML in production.
Dataiku

Dataiku

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Everyday AI, Extraordinary People
Dataiku is the Universal AI Platform, uniting the technology, teams, and operations needed for companies to build intelligence into their daily operations, from modern analytics to generative AI. Together, they design, develop and deploy new AI capabilities, at all scales and in all industries. Organizations that use Dataiku enable their people to be extraordinary, creating the AI that will power their company into the future. More than 700 companies worldwide use Dataiku, driving diverse use cases from predictive maintenance and supply chain optimization, to quality control in precision engineering, to marketing optimization, generative AI customer proof, and everything in between.
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