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Peter Sergio Larsen

Chief Technology Specialist | Big Data | Data Science | Robotics | Process
Nordea

Peter Sergio is the Chief Technology Specialist in the area of Big Data, Machine Learning and Data Science in Nordea. His task in Nordea spans from working on concrete projects and defining and developing the new Common Information Platform (CIP) in Nordea.

He has hands on experience with various technologies from the Hadoop EcoSystem, such as Apache Spark, Apache HBase, HDFS, etc. but also machine learning modelling and data science has been a part of Peter’s daily work. One of the key project that Peter is working on is in the area of Risk and Compliance, and other projects involving recommendation engines and face detection, among others.

Check out the incredible speaker line-up to see who will be joining Peter Sergio.

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Day 1 - Making Analytics A Game Changer Today

Sunday, December 4th, 2016

12:30 Creative Boardroom: Keeping regulations in mind when working with various kinds of data sources: Does your tech stack meet the legal requirements when collecting and combining from numerous data sources?

Introduction to Nordea’s big data platform and information architecture
How can you best work with the rigid nature of regulations to get the most out of your data for use-cases including analytics and machine learning modelling?
Ensuring data governance: What is the best approach to controlling who has access to data-driven results across the business?
Tracking data metrics: How to ensure that data quality levels remain high as it is shared across the business?

14:25 Oxford Style Debate: Is it possible to build a big data environment that delivers a competitive edge with in-house expertise alone or is it essential to work with a third party provider?

Is it possible to build a big data environment with zero input from third party providers?
Do the pros of building a big data environment with in-house expertise alone outweigh the cons?
Does building or buying give you the competitive edge?
Is the cost of working with third party providers justified based on the time it requires to build in-house?