This is the second instalment of a series about the second edition of Data Natives. I guess that ‘Doubles’ is the theme of this post. This time, we’ll talk about the conference schedule. By the way, the conference is approaching soon, so don’t sleep on the last chances to attend – Late Conference tickets are the last available tickets! . Attend Berlin’s best big data conference! In case you’re still not completely convinced, we came up with the top 5 reasons why you should attend, based on our conversations with some of last year’s attendees.
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Of course, the most important part of any conference is what’s going to be presented. Sure, networking and recruiting are great additions, but the bottom line is that the speakers, panels, and workshops, have to deliver. It’s like saying that a concert was great because, even though the band sucked, you met a nice guy at coat check.
As we were planning the conference, we went out of our way to look for speakers who represent as diverse applications of data science as we could think of. This year’s program is as diverse as it is exciting. Drawing on the lessons we learned from last year, we put together a mix of speakers and topics that aims at inspiring you, and make you ask questions about the future of the field you’re working in. From Data Science to HealthTech, we have pretty much all bases covered. Each day represents a conference track – Wednesday is for workshops, Thursday is for Data Science, and Friday is for Tech Trends.
Workshops – October 26
Intimate sessions led by Data Science and Business experts. There will be ample time to ask questions and have one-on-one discussions with speakers and attendees. So far, we have announced both data science workshops:
Getting to grips with Mathematica for data manipulation, and machine learning, given by experimental scientist and Wolfram technical consultant, Dr. Robert Cook.
Data Science – October 27
This is where it gets really interesting. From Big Data, Machine Learning, to AI and IoT, our speakers will offer both business and technical presentations, aimed at giving you a better understanding of the Data Science ecosystem. The first day of the conference opens with keynote speaker Daniel Molnar, from Microsoft, talking about the basics: Cleaning up your data, once and for all. Afterwards we’ll have Stefan Kühn, from codecentric, also giving a rather educational talk on visualizing and communicating high-dimensional data. Kim Nilsson, data scientist and CEO of pivigo, will give the final talk of this kind, outlining how to become a successful data scientist. Afterwards, the conference goes into machine learning and AI, and open source projects, with talks by Dr. Jonathan Mall, Francisco Webber, Alexandra Deschamps-Sonsino, Julia Kloiber, among others. Rounding up the day, we will have a panel on The Future of AI and Universal Basic Income.
Tech Trends – October 28
Tech Trends is all about the cutting edge. We will discuss the latest buzzworthy tech trends you’ve heard from booming industries such as FinTech, HealthTech and PropTech. Romeo Kienzler, the Chief Data Scientist at IBM Watson, will start bright and early with a keynote on Deep Learning. From then, there will be talks about FinTech, MedTech, HealthTech, PropTech, big data recruiting, and the Startup Battle: Startups that focus on Machine Learning, FinTech and IoT, have been selected to pitch in front of the audience and our judges.
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