Fighting financial fraud is a challenging and an ongoing effort as fraudsters evolve their capabilities over time. It is therefore important to have effective and agile systems in place to catch the fraudsters. Join...
Category - Nordic Data Science and Machine Learning Summit 2017
Unsupervised Anomaly Detection With Advanced Analytics: Your Next Steps – Harizo Rajaona
How can we improve anomaly detection with unsupervised methods? After a quick sum up of supervised methods, we’ll show how advanced machine learning can leverage the power of algorithms. We’ll conclude with...
Fueling Data-Driven Transformation With Scale And Speed – Gareth Mitchell-Jones
See and hear how data and analytics ecosystems of the future of being shaped by experiences of the past to meet current data and analytics challenges. Find out how to build a solution that delivers personalised...
The Paradigm Shift Of The Enterprise R&D – Jesse Chao
Build an AI team in a startup is no big deal (alright, literally), but in a well established enterprise? It could be a civil war…Let’s talk about the challenges and how enterprise could adapt with this new paradigm...
Data Empowerment Through User-Centric Design – Werner Kruger
Werner Kruger, Director of Data Science at Klarna, speaking about data empowerment through user-centric design at the Nordic Data Science and Machine Learning Summit 2017 in Stockholm, Sweden.
Are You A Yoda, Young Luke Skywalker Or A Stormtrooper – Ingo Paas
After an intensive study tour to Silicon Valley visiting the world’s most innovative players, 15 startups and two Risk Capital Investment companies, my view of the world isn’t really the same anymore. With “AI-FIRST”...
Advisory Board Panel: From ‘Data First’ to ‘AI First’
Advisory Board Panel: From ‘Data First’ to ‘AI First’ during day 2 of the Nordic Data Science and Machine Learning Summit 2017. Panellists: – Robert Luciani, Data Scientist Expert and CTO...
Day 2: Chairman’s Opening Remarks – Errol Koolmeister
Opening Remarks by the event chairman, day 2 of the Nordic Data Science and Machine Learning Summit, Errol Koolmeister.
Context Is King: Putting The Science In Data Science – Mikael Klingvall
Enterprise analytics, advanced or otherwise, exist to improve the business decisions and the bottom line. Problem is, bad analytics will lead to bad business decisions, wasting a lot of money. Good analytics require...
Punch Above Your Weight: Introducing Data Science To SMEs – Brynjólfur Borgar Jónsson
How do you start on this path if your organization is not that big? You probably have plenty of data and the application areas for data science are quite obvious to you. But your budget and appetite for risk may be in...