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One thing is for sure at this event: We all love technology. We are the only tech un-conference for it-students that connects them to global, leading tech-companies. TECH020 brings together the community of young programmers, developers, gamers, nerds, hackers, scientist and other fans of Internet and technology. Whether you are speaking to an established company or to a start-up, the leading topic will always be the exciting way in which technology is being used. At TECH020 students from VU, UvA, HvA and Inholland University will get the opportunity to share their knowledge and highlight their skills that companies are looking for. Companies will get the chance to meet their future employees and get in contact with top-of-the-notch it-talent.Who will be there
Who will be there?
400 - 800 students focussing on: - Artificial Intelligence - Business Analytics - Computational Science - Computer Science - Data Science - Information Systems - Lifestyle Informatics - Parallel and Distributed Computing - Software Engineering - System and Network Engineering International leading TECH-companies like: - Adyen - Optiver - ING - Keylane Previous speakers: - Werner Vogels (CTO Amazon) - Hylke Sprangers (Talpa Media) - Guszti Eiben (VU University)
What do Facebook, Spotify, Netflix and Uber have in common? They all use the payments technology of Adyen. Our solution processes over $90 billion in transactions a year for the world’s smartest and fastest- growing companies. Do you want to learn more about how we work at Adyen? We’re looking forward to meet you during Tech020!
Hippo / Bloomreach
APIs are hot, these days. But what are they, really? Based on the real-life example of an average complexity, extensible modern web application, we discuss what aspects to take into account when defining an API, which 3rd parties can use to develop extensions for that web application. What is important when designing such an API? And what should be the extent of that API?
Requirements are the basis of every software solution. To ensure a software project has a successful outcome, it’s important that these requirements are converted into well thought out designs. In this presentation we will discuss the steps of the functional design process and we will review various choices you can make as functional designer. Based on examples, we will consider the challenges, successes and lessons we have learned from practice.
Jeanine van Mersbergen
Since the first stock exchange opened in Amsterdam centuries ago, professional traders have always wanted to hear the latest news as soon as possible. In the past, traders employed carrier pigeons and telegraph lines; nowadays the latest IT technology is employed. This presentation outlines some of the software, hardware and networking technologies that Optiver uses to react as quickly as possible and make markets more efficient.
All change is hard. Changing a large financial institution is harder still. This is the story behind why and how ING in its ambition to be the #1 fintech company, moved to adopt Scala. We will look at the three main motivators (technical, engineering culture, and enterprise agility) for this journey from both a developer and a management perspective and the hurdles we had to overcome. Join this talk to learn more on how to get company to do Scala.
There are multiple reasons why the Dutch Tax and Customs Administration (DTCA) continuously has to innovate its processes. One of them is that civilians and companies demand for an effective and flexible administration. Therefore we need to move, step by step, from a traditional IT organisation to a more data-driven one.
John Willems / Joris De Kaey
The financial sector is facing numerous exciting challenges. In a world where security and trust is essential, how does ABN AMRO take its business to the next level? Blockchain technology could play an important role in designing highly efficient ecosystems, but decentralization is not trivial. Let’s talk about blockchains and the cool things you can do with them.
We use Machine Learning techniques, for example, to forecast future values of KPIs based on historical patterns, detect anomalies, and finding the underlying leading and lagging correlations between KPIs to turn them into actionable insights. In this talk ServiceNow® engineers and data scientists share how they apply Machine Learning and advanced statistical techniques to help hundreds of businesses owners worldwide in their daily decision making
The technology industry is overflowing with buzzwords. I’ll look into a set of these words and explain how we translate them into tangible solutions for our customers. Along the way I'll explain what our development process looks like and show you how we use tech like react, reactnative, nodejs, docker and graphql in our versatile teams to deliver custom built software to our customers in all kinds of industries.
Ministerie van defensie
Sergeant majoor Steve Timmer. recruiter bij defensie/luchtmacht. 25 jaar werkzaam bij defensie. Origine vanuit de vakgroep Grondoperatien. De verantwoordelijkheden zijn: het bewaken & beveiligen van onze hoofdwapensystemen in NL en daarbuiten, vanaf de grond en vanuit de lucht. 16 jaar gewerkt in operationele pelotons, uitgezonden naar: Macedonie, Albanie, Kosovo, Erthiopie en Eritrea en Kirchizie. 8 jaar gewerkt als instructeur op de Kon. militaire school luchtmacht en nu anderhalf jaar recruiter.
Sergeant Joey Roossien
Algorithms are essential in Tech. As a result, they are often used by hiring companies during technical interviews to test a candidate's problem solving skills, knowledge of complexity theory, and even the ability to code. In this talk, Chris will give demos of PyAlgoViz, a tool that can help you better understand various algorithms and prepare for your upcoming technical interviews.
Since the advent of the internet, information has become ubiquitous and access to it now includes the vast majority of citizens. Data is generated at an ever-increasing pace, so are we moving to total democracy where science will gradually transit to citizen science? How are we treating the data produced in the public domain (paid for by taxpayer money) and are we really capitalising on the big promises? I will focus on these issues and discuss data stewardship and its impact on data analytics