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[masked] Drinks and networking
More and more applications contain an analytics component to provide deeper insights to end users. As a analytics developer or data scientist, you want to minimize the time to market for your solution as much as possible. One way to do this is to use the tools you're most familiar with, an other one might be to use a (hosted) platform that removes many of the hurdles that prevent you from quickly moving from A to B. And preferably, you want both of these things at the same time. This meetup will look at these challenges from different angles, from mixing different tools on your laptop to create quick insights, to using an single hosted integrated platform that will take care of all the hard work for you, and everything in between.
Opening: Jos van Dongen, SAS
- Speaker 1: Longhow Lam, LHLDSD - A 'Freakonomics' approach to analytics development
Have you read 'Freakonomics'? This book addresses funky questions like 'are swimming pools more dangerous than hand guns?' and comes up with a statistically sound answer to them. Longhow takes a similar approach here, providing answers to burning questions like 'should you buy a house in the vicinity of a Chinese Restaurant?', 'Are all episodes of "Goede Tijden, Slechte Tijden" (Dutch Soap) more or less the same?' or 'Which of my colleagues resemble Brad Pitt the most?'. Expect an entertaining talk showing how to combine R, Python, SAS, H2O and others to find out what's going on in the world.
- Speaker 2: Andrew Hagens, Finaps - Building Chatbots using standard API's
Most of our interaction with the outside world takes place via apps on our mobile phone nowadays. And more and more, these apps use machine learning algorithms under the hood to come up with recommendations or help us in other (artificial) intelligent ways. Andrew will show how to integrate this intelligence using standard API's in the Mendix mobile app development platform to build an interactive chatbot.
- Speaker 3: Tuba Islam, SAS - From data to deployment: a seamless developer experience using a unified platform
Wouldn't it be great if there was an environment in which you could ingest and wrangle your data, prepare your models, visualize the results, and deploy and manage those models, all from a single unified UI? Sounds to good to be true? Then let Tuba surprise you with the latest innovations in analytical platform development.
- Speaker 4: Colin Nugteren, Notilyze - RAD: Rapid Analytics Development
Notilyze (https://notilyze.com (https://notilyze.com/)) is a Dutch startup operating a ready to go analytics platform and one of the first 'analytics as a service' providers in the country. Colin will explain & show how their platform takes away the burden of setting up and managing a data science platform, and how turnaround times as fast as 30 minutes are achieved from providing data to receiving answers.
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