Do you think fashion and technology are at opposite poles and can never cross? Then Aimee's talk is for you! This is a glimpse into the world of Fashion & Technology through the eyes of a Fashion Domain Expert. Aimee will walk you through her journey from her first days working with Data Science and Research Engineers in Zalando's Insights Centre, to the present. You will also hear about her view of the future of fashion in the tech industry.

What does it take to build a good data product or service? Data practitioners always think about the technology, user experience and commercial viability. But rarely do they think about the ethical implications of the systems they build. This talk will shed the light on the impact of AI systems and the unintended consequences of the use of data. It will also discuss our role, as data practitioners, in putting ethics into practice and planting the seeds of fairness in the systems we build.

Artificial intelligence in news media is being used in many ways from speeding up research to accumulating and cross-referencing data. Daniel's talk will focus on AI-powered solutions and how different news outlets use AI and machine learning in finding patterns in data.

When it comes to innovations in the filed of AI, Amazon is a standard-bearer. Denis has not only witnessed but also participated in the miracles the company has done so far. His talk will cover the history of Amazon innovations focusing over the last 13 years.

Data scientists are great, but it's even better to have a function owning an alternative perspective. Product experience analysts have a complementary view on the analytical process for product development, and getting these different functions to work together requires a clear shared vision. Join data scientist Chris Ninnes and product experience analyst Timothy Frohner from Facebook as they outline how they work together and how your business can benefit from PX, too.

How to stay competitive in Fintech market without Business Intelligence team? This talk will reveal how can a company by using self-served instantly available data make efficient data driven decisions.

There are hundreds of crime-solving techniques out there, but you haven't heard anything like this before. Isabella Gollini will tell us about her project carried out with a Cambridge criminologist about how new statistical models on wiretapped phone calls data tracked down human smuggling criminals.

CERN is the largest particle Physics laboratory in the World. Scientists are trying to answer fundamental questions about formation of universe. All these scientific activities would be impossible to conduct without sufficient computing infrastructure. Scale of the data produced at Large Hadron Collider (LHC) experiments at CERN are huge and we can say that WLCG - World Wide LHC Computing Grid was dealing with Big Data before appearing the term itself. In this talk Erekle Magradze will give a short overview of computing at CERN LHC experiments and try to explain the scale data challenges there.

What does it take for a startup to make money with open data? Denis Gursky will share the successes and failures of open data based startups from the first Ukrainian incubator with 100 startups as alumni. They have collectively raised around $800 thousands within last two years and have the stories to share with us.

Working with data is harder in some countries than in others. Pinar Dag will talk about her experience of doing open data work in Turkey where there is a super complicated situation with governent becoming more and more closed. What does it take for activists to work in this hard situation and what are the lessons learnt?

The world is changing faster than at any time in human history. Technology has changed the way we do our jobs. Mirko Lorenz will share his insights on what are the most recent challenges for data journalism and how we can tackle those.

Developments in digital technologies have given rise to new political practice. Politically active groups around the globe are using tools and techniques from marketing, statistics, psychology to advance their agendas, to promote their campaigns, and to influence voters. As these political groups amass and leverage data on the electorate, they increasingly adopt a corporate approach on data collection. This data-centric business model, which has transformed countless other domains, has become an inextricable part of modern-day politicking. This talk sheds light on the most valuable data source for political groups looking to inform and influence you and sheds light on the larger use of personal data in modern politics.

There’s too much friction working with data - friction getting data, friction processing data, friction sharing data. This friction stops people doing stuff: stops them creating, sharing, collaborating, and using data. Jo will talk about how to shorten the path from data to insight with Frictionless Data, a collection of specifications and software for the publication, transport, and consumption of data.

OCCRP Data digs big data and makes tools for a motley international army of investigative journalists with the quixotic aim of following the shadowy dealings of the impossibly wealthy and corrupt. Bank statements worth billions of euro; terabytes of leaked documents; multi-layered corporate shell structures hiding in millions of corporate registries; their shareholders, directors, beneficial owners; the illustrious tax haven lifestyles of the illicitly rich and famous. All by a team of five(ish)! All in fifteen minutes!

How can a group of exceptionally gifted internet researchers, who use information gleaned from open sources to dig up facts, actually outfox the world’s spy agencies? Christiaan will inspire us with the latest case-studies from Bellingcat's online open source investigation community.

When data is missing, civic tech takes over! Justin from Code for Africa will inspire us with the stories of impactful data projects when volunteer developers created citizen censors to tackle air pollution, water diseases, dynamite fishing and many more.