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From an obscure upbringing in rural Australia, Paul Larsen takes us on a journey through the highs and lows of his pursuit to smash the outright world speed sailing record and take sailings potential over new horizons.

Chess playing machines have interested the public for hundreds of years. From The Turk to Deep Blue, people have been fascinated by the contest between man and machine. The engines are now much too strong for even the top human players but they can still be very useful. This talk charts the historical development of chess technology, how it has affected the way that the game is played, how the top players prepare and the possible dangers inherent with more powerful hardware in competitive chess.

In this talk we will first have a brief overview of the current state of the streaming data analytics space. Then we will go on to a short introduction to the Apache Flink real-time data analytics system before diving into some of the interesting features that set Flink apart from other players in the field. For this, we will look at example use cases that are either directly from users or are based on our experience with users. Among the special features we will look at are support for sessionization of events based on the time at which the event happened (event-time), savepoints for storing the state of a streaming program for later restarts, efficient handling of very large stateful streaming computations and accessibility of the state from the outside world.

More and more applications that simplify our lives are based on the analysis of data: Internet searches generate matching results within milliseconds, packets arrive punctually and spam filters block unwanted emails by detecting patterns of text. The basis for this are statistical methods. They can examine data for recurring patterns and derive valuable information from it. Here, a simple relationship applies: The greater the data basis is, the clearer the patterns and more reliable are the findings derived. In order to implement statistical analysis responsibly, Telefónica has developed a new and innovative anonymization process in Germany and also applied for a patent: The Telefónica Data Anonymization Platform (DAP). It was developed in close coordination with the German data protection authorities and thus meets the highest standards. The new process will ensure that when creating statistics, no conclusions on personal data are possible. This presentation introduces the key concepts behind the DAP, focuses one on some of the technical choices and challenges and deals with Big Data as the central module of the application.

The high potential of Big Data Analytics is clear across all verticals and the industry, yet organizations still struggle to unlock its true value. Even with the latest distributed execution frameworks in the Hadoop ecosystem, they are challenged with leveraging Big Data, advanced analytics and computing power in their clusters. Organizations need to enable data scientists and analysts to leverage solutions that include data analytics, visualization, parallelization and optimization. Also, they need to scale up and scale out to perform distributed computations in cluster environments using tools in Open Data Science, including the Python and R ecosystems. Enterprises demand flexibility, high performance and efficient use of memory to scale up their Big Data workloads, especially for numerical and statistical computations. They need cost effective business results from their Big Data investments and the ability to leverage the latest innovations to outperform their last generation technology. In order to deliver on this promise, Big Data Analytics has to be simplified so that the skills that exist in the enterprise can easily maximize the benefits of Big Data. This requires scalable package and dependency management of existing analytics tools, as well as flexible parallel frameworks to scale up their Big Data workflows, including machine learning, image processing and natural language processing. In this session, enterprises will learn how to leverage the power of Open Data Science to extract value and get high performance and interactive analytics from Big Data. The speaker will demonstrate examples of high-performance, distributed Python computations that include:

• In-memory natural language processing and interactive queries on text data in HDFS

• Analysis of NYC taxi data through distributed dataframes on a cluster on HDFS

• Creation of interactive distributed visualizations of global temperature data

• Parallelization of existing legacy code with custom file formats

Data Scientists will hear about how to achieve lightning fast processing of computationally intensive distributed analytics with Python to realize the full value of their Big Data.

High throughput sequencing has enabled cost effective analysis of large cohorts of human genomes. The cost of sequencing has fallen at a faster rate than Moore’s law in the last decade, and the availability of DNA sequence data is promising to open up applications of molecular and genetic data to Precision Medicine. In some disease contexts genetic tests are already in widespread clinical use, and population scale sequencing projects such as Genomics England’s 100,000 genomes project are aiming to provide large cohorts for translational research while pioneering the use of whole genome sequencing in a national health system. Significant challenges lie in the analysis and clinical interpretation of genetic tests, where computational methods, Big Data and learning techniques may be able to accelerate improvements in diagnostic yield.

As we are the only company developing full stack software for real banks on Ruby and Rails and as we regard our stack as one of the few that is API based we see ourselves as the "Pirates of Banking". Our one code base stack currently runs 3 different bank use cases in 2 different countries with different languages and currencies. This year we will expand on at least two more countries with more more languages and currencies. Our software stack runs hosted by us or on premise. This talk we deal with the challenges and advantages the decision to run on Ruby and Rails gives us. I'll talk about how we leverage on Rails and Ruby to apply modern methodologies like micro services, agile product teams, cloud and container technologies and much more to deliver scalable, stable and reliable banking software. Further on it deals with how we use Rails to move from a single customer installation to multi customer on premise packaged software solutions.

Banks and financial service providers depend - more than many other industries - on available and secure IT for their business operations. Due to the nature of their core business, financial transactions and their mapping in IT, they are of course especially interesting for cyber criminals. But not only. Within the last years particularly the banking supervision nationally and internationally has been interested in the topic cyber risk and cyber security, too. By means of concrete examples the talk reflects which threats banks were recently exposed to. Apart from that, it shows which regulatory demands in relation to cyber security in processes and IT systems supervisory authorities must implement.

Banks and financial services companies transform themselves increasingly in IT companies. Because of legacy systems and regulatory requirements, the adjustment speed however is extremely slow, so they are often attacked by innovative start-ups (" FinTechs "). It 's not just about making banking better than a bank, but also, through peer-to-peer platforms, about banking without a bank ("banking is essential, banks are not." - Bill Gates, 1998). The presentation gives an overview of the best offers in the area of financial services in the Internet.

Die Auffassung, dass Krebs eine evolutionäre Krankheit ist, ist ursprünglich in den 70er Jahren entstanden. Zufällige Mutationen und Selektion im Körper wandeln langsam gesunde Zellen in aggressive Klone um, die sich im Körper ausbreiten, in entferntere Gewebe vordringen und letztlich den Tod des Patienten verursachen. Der Weg des Krebs verläuft daher bei jedem Menschen sehr individuell und ebenso individuell ist das Erbgut von Krebszellen innerhalb jedes Patienten: Ein Effekt, der auch unter dem Namen Heterogenität des Tumors bekannt ist. Erst in den letzten Jahren haben die Bemühungen der Sequenzierung der nächsten Generation das Ausmaß der inter- und intra-Tumor-Heterogenität enthüllt. Große Mengen genomischer und transkriptomischer Daten zu allen bekannten menschlichen Krebstypen wurden gesammelt, um uns ein Bild der genetischen Landschaft von Krebs zu liefern. Die große Herausforderung der nächsten Jahre wird sein, diesen Daten einen Sinn zu geben. Dies verlangt von uns, die Art und Weise, wie wir über Datenspeicherung, Verteilung und Analyse denken, zu ändern. Als Beispiel werde ich das Projekt „Pan-Krebs-Analyse ganzer Genome“ vorstellen, eine Kooperation von zwei führenden Krebs-Ressourcen-Konsortien - das International Cancer Genome Consortium (ICGC) und das Cancer Genome Atlas (TCGA) - mit dem Ziel, mehr als 2500 komplette Krebsgenome und -transkriptome zu generieren und analysieren. In dem Vortrag werde ich zeigen, wie die Gesamtmenge von über 300 TB an Daten zu der Adoption von Cloud-Computing-Ressourcen für die wissenschaftliche Datenanalyse führt und was die Datenmenge für die tägliche Arbeit von Wissenschaftlern bedeutet. Abgesehen von den Herausforderungen, werden wir sehen, wie Big Data neue Machine-Learning-Algorithmen füttern kann und wie Informationen aus solchen Datensätzen in die Klinik mithilfe von translatorischen Bemühungen übertragen werden können.

The IT security often seems to be a neck-to-neck race between those who hack systems and those who mend gaps. It shouldn't be like that! This talk pleads for a scientific approach in IT security: following the example of Cryptography, based on clear definitions, explicit assumptions and evidence in (mathematical) models. This approach makes it possible to generally exclude broad classes of attacks, even those who have never occurred. With some examples from Cryptography and IT Security it will be demonstrated how to model attackers and application environments, to define and to prove security in modern Cryptography. The focus lies on a modeling, which allows a modular design of complex, more secure systems.

Privacy is often a killer argument why things do not work. It is often used by those who have little understanding of privacy. On the other hand, one may feel safe about data protection laws and then be surprised by strange rules. Privacy: a mix of Voodoo and rules fury? This lecture aims to illustrate the basic principles and shows with the help of some cases where you might intuitively be wrong, where the pitfalls lie. On the other hand it shall point out that consistent data protection is a central element of functioning compliance and is rewarded by the market.

The Internet is a networked system whose services are of major relevance to the population. At the same time Internet-based services are subject to many threats that are being discussed among experts for many years. Nevertheless, only since Edward Snowden made several documents publically available, it has become a topic of general interest. In this presentation, first you will get an overview of attack possibilities known since the Snowden revelations. Subsequently, we will demonstrate how it is possible to implement reliable Internet-based services even under eventual strong attacks.

I will present the latest developments in JavaScript, both the core language governed by Ecma International's "TC39" Technical Committee, and the browser APIs commonly associated with JS and even now usable on the server side in various "headless browsing" and "server side rendering" systems. JS has become so fast and ubiquitous, it has spawned a new transport syntax, WebAssembly, which promises to grow into its own protocol for safe native-speed Web applications. Therefore I will give an update on WebAssembly as well as JS. I'll close with some fun games demonstrating these innovations on the bleeding-edge versions of today's top browsers.

Rust is a systems programming language that runs blazingly fast, prevents segfaults, and guarantees thread safety. Modern language features, such as closures, type inference, pattern matching, and trait-based generics, are supported in tandem with low-level features like zero-cost abstractions, efficient C bindings, and a minimal runtime. With the stable 1.0 release of the language in May 2015 Rust has seen widespread growth and adoption as well as continuous iteration on both the language and the libraries. This talk will explain the fundamentals of Rust and how they're leveraged to achieve the language's lofty goals as well as give a preview of some of Rust's upcoming features.

Idris is a general purpose functional programming language with full dependent types, building on state-of-the-art techniques in programming language research. Dependent types allow types to be predicated on any value - in this way, required properties of a program can be captured in the type system, and verified by a type checker. This includes functional properties (i.e. does the program give the correct answer) and extra-functional properties (i.e. does the program run within specified resource constraints). Idris aims to bring type-based program verification techniques to programming practitioners while supporting efficient systems programming via an optimising compiler and interaction with external libraries. In this talk, I'll use a series of examples to show how dependent types can be used for verifying realistic and important properties of software, from simple properties such as array bounds verification, to more complex properties of communicating and distributed systems.

Can quantum computers meet the tantalizing promise of solving complex calculations - such as optimization problems or database queries - faster than classical computers based on transistor technologies? Although IBM recently opened up their five-qubit programmable quantum computer to the public to tinker with, the holy grail of a useful large-scale programmable universal quantum computer is decades away. Although working mid-scale programmable special-purpose quantum optimization machines exist, a conclusive detection of quantum speedup remains controversial despite the promising results by Google Inc. In this talk I will outline how we can predict the typical difficulty of optimization problems without solving them with the goal of "tickling" any quantumness out of these machines while, at the same time, aiding in the search for the "killer" application domain where quantum optimization might excel. Finally, an overview of different sequential, non-tailored, as well as specialized tailored classical state-of-the-art algorithms is given. Current quantum annealing technologies must outperform these to claim the crown in the race for quantum speedup.

Wearable technology, and especially Hearables, have seen significant advances in the past few years. Bragi, with The Dash, has been at the forefront of these advances. This talk will detail some of the enabling technologies, practical difficulties and some possibilities for the future.

Ralf G. Herrtwich creates self-driving vehicles for Mercedes-Benz. In 2013, his team made an S-Class re-enact the world’s first overland drive, covering the historic 65-miles Bertha Benz Route autonomously in regular traffic. As Director of Vehicle Automation and Chassis Systems, Dr. Herrtwich is in charge of conceiving and developing future safety and comfort innovations for Daimler vehicles. A computer scientist by education, he started his career in academia at TU Berlin and UC Berkeley. He then held management positions with IBM and several telecommunication startups before joining Daimler in 1998 to manage its research on telematics and in-car infotainment. Since 2009, he also is honorary professor for vehicle information technology at TU Berlin.

Modern miniaturization technique enables the production of complete satellites – with only a few kilograms mass – that are amazingly powerful. Formations of micro-satellites can be brought into orbit cost-efficiently and allow many innovative applications for telecommunication and earth observation. For industry, this creates interesting opportunities regarding industry 4.0 and digitization, preparing the ground for offering global services such as remote maintenance of machinery and production facilities, also on other continents. Such earth observation and communication networks also open up new horizons for logistics with respect to global tracking of the transport of goods. The more reliable on-board electronics as well as the more powerful position and orbit control have paved the way for commercial applications here. Only during the last two years 200 micro-satellites were brought into the Earth orbit.

In this practice-oriented talk Alexander Entinger reports about his personal experience using Arduino in robotics. As a first step the historical development of Arduino will be described, and then the concept behind Arduino. Afterwards several robots built by the speaker himself will be presented, in which Arduino technology in one way or another was implemented. The presentation begins with such simple machines like the Mini-Sumo Robot Sergeant Pain in which an Arduino similar control system is used to operate all sensors and actuators of the robot, an ends with more complex ones, ROS-based robots like the SLAM demonstrator Beauty Queen or the rescue robot Conrad.

Humanoid robots, virtual reality glasses and 3D camera sensors for gesture recognition combined allow you to see the world through a new perspective - the eyes of a robot - and control it remotely without any contact. The TNG Hardware Hacking Team has implemented a telepresence robotics system based on a NAO robot, an Oculus Rift and a Kinect One in order to enable an immersive outer-body experience - similar to the one in the movie "Avatar". In this presentation, by giving interactive live coding examples, the easy programming of the robot with languages ​​such as Python or Java will be shown. After a live demonstration you will be guided through the entire program sequence of the telepresence system and also learn about the challenges that came up during the implementation. You will get an insight into the world of telerobotics and, after a brief historical overview, catch up on current trends and applications.

Aldebaran is the worldwide leader in humanoid robotics. The company was founded in 2005 and is a subsidiary of SoftBank Robotics headquartered in Paris (France). Further offices are located in Boston (MA, USA), San Carlos (CA, USA), Shanghai (China) and Tokyo (Japan). Aldebaran has already sold more than 20.000 robots. This talk shows how humanoid robots are able to improve your customer experience. After a brief review of the state of the art in humanoid robotic, we will highlight the value of emotion perception. Furthermore, a small tutorial on developing a retail point-of-sales app will be given to make you "forget GUI, think Dialog User Interface with Pepper". With a quick overview of the programming tools, we will have a look at the SDK and qiChat and interfacing it with Pepper's tablet. Finally, you will discover how to program animations and packaging the app for the end customer.

The Hyperloop is a high-speed transportation concept proposed by Elon Musk in 2013. By reducing air drag and friction the full-scale concept allows passenger capsules inside a semi-vacuum tube to reach speeds up to 1200 km/h. Mariana Avezum and Johannes Gutsmiedl are part of a 35-students team in the SpaceX Hyperloop Pod Competition. The TUM team is one of the only 30 teams worldwide to get to the final round. Construction is well underway for a 4m long prototype which includes a turbo-compressor and a magnetic levitation system. Since its foundation, 7 months ago, the team has gone through several iteration cycles in order to achieve a safe and scalable prototype design. The design and build process will be explained by presenting the challenges faced and the solutions found along the way. The advantages of a dynamic and multidisciplinary student team can be quickly seen in the amazing amount of work that has been achieved in such a short amount of time.

MEMS Sensors in consumer devices can be categorized in inertia (mainly accelerometer, gyroscopes and magnetometers), environment sensors (microphones, pressure, temperature and humidity as well as the upcoming gas sensing), and optical sensors (light detection and emerging heart rate measurement). Main players in the capital-intensive MEMS industry are semiconductor manufacturers. The technology is based on etching microstructures into the semiconductor, defining movable parts with specific mechanical properties. Innovation speed is on the edge of physical. For main applications like location detection or sound processing there are combined improvements from software and hardware ongoing, supporting the ongoing transformation of the mobile phone to a personal assistant.

There is much skepticism regarding documentation in agile software development projects, some even stating its non-existence. Nevertheless, agile projects often produce more and notably meaningful documentation in comparison to traditional projects. This talk will answer what good agile documentation actually is (namely more than "just" good text in documents: videos, wikis, issue management, interactive API documentation & co.), and why it is relevant. The experience from many projects – and in particular how to produce agile documentation – shall be reflected. This talk aims to increase the understanding of the importance of good documentation, illustrate some ideas and provide some practical knowledge.

How will value creation look like in 2064? No one knows exactly what consequences the digital technology and its networking potential will have. The time in which factories offered several jobs, competition took place within the limits of its own industry and mass products were widely sold, seem to be over. Thus we are witnessing a redefinition of what we name "industrial value creation": The whole process from the planning of a product throughout its production to its sale undergoes a radical redesign. How much will Germany as an industrial location have to adapt when every second company starts fearing competition from other sectors – and every third starts planning to attack? How the dissolution of business sectors and industry boundaries in consequence of the digitalization will look like? Which challenges managers and their development strategies will have to face? This talk covers a small crop of a large-scale study carried out by A.T. Kearney about "Germany in 2064 - the world of our children". The associated futuristic thriller "Germany 2064", by Martin Walker, was many weeks on bestseller lists.

The company Seidel GmbH & Co. KG has been producing for more than 180 years mechanical products for the international cosmetics industry. From this company out Dr. Ritzenhoff founded 2014 the Carus GmbH & Co. KG. Carus produces LED lamps containing digital technologies. In the production of many components the company makes use of the profound know-how of Seidel. The digital expertise has been developed intensively over the years. Unlike the competitors the production is fully automated and takes place in Germany.

On the one hand, software is becoming more and more important for businesses. On the other hand, it is now cheaper than ever before. In addition, as a consequence of the influence of the World Wide Web and cloud computing, it has been increasingly provided in the form of services rather than products. The successful establishment of basis technologies, platforms and associated business ecosystems thus plays an increasingly significant role for software. Therefore, decisions concerning software, both regarding the utilization as well as the development, are essential to economic success. Open source software and handling with it has proven to be an effective tool for the achievement of strategic goals. Since 2012

When designing RESTful interfaces, a constraint is often overlooked - HATEOAS. For this reason REST clients should not make assumptions about the possible state changes of a resource, unless the REST server just delivers one available hyperlink. We will present you the advantages of this architecture paradigm on the basis of some examples - from the improved decoupling of client and server to the simplified modeling of individual user permissions. Thereby we introduce you to existing approaches in the Spring and Jersey framework and then our open source project rest.schemagen. Thus it is clear that HATEOAS brings real benefits for the (server) developer and that additional time and effort are negligible. The project can be found on github and maven central.

Stop wasting your time on looking for errors, start investing it in fixes and improvements. The bigger the application we are dealing with the more feedback we are getting from it in terms of log statements. At some point the developers are getting virtually flooded with information and the need for the proper tooling becomes apparent. This, yet another Elasticsearch talk, has its focus on the so called ELK (Elasticsearch, Logstash, Kibana) stack, an open source tooling developed by the elastic.co for the sole purpose to process, gather, store, visualize and make accessible the amount of logged information you need. ELK stack is easy to setup and maintain. Elasticsearch cluster can be configured according to any reasonable performance and redundancy requirements due to its excellent horizontal scaling. If you are still "grepping" your log files, you might want to take a look at alternatives. Note: technical talk for ELK beginners and Log-monitoring unbelievers

The classic hierarchic leadership pattern of the omniscient and everything controlling boss does not work in highly creative working environments like in particular in software development. Mercateo currently starts out to construct an extensive B2B transaction platform. The scaling ability that is therefore necessary does not only have technical but also especially organizational implications. Since we are convinced that a scaling organization must allow as much autonomy as possible, we have reorganized the leadership model radically within the last year. In the IT organization of Mercateo we have built up a leadership model that is based on four columns. It separates the responsibilities clearly into subject-specific, technical, organizational and personnel leadership functions. This talk not only shows the challenges with change management during the buildup of such a model, but also the chances that arise from it. We present our introduction concept within and outside the IT organization and by means of examples we show how conflicting interests between content-related product development, further team development and individual development, and unfolding in the interaction of now several players become clearly visible and thus workable. Finally, we present the challenges regarding the organization of comprehensive technological subjects and first approaches in the field of tension “uniform architecture vs. team autonomy”.

This session will show you, how you can start building your own IoT platform connecting and integrating millions of devices. How to securely connect the devices to the cloud, how to react instantly on data, collect data to do analytics and how to talk back to a device regardless of the device being online or not. The session will also cover integration to AWS and 3rd party services for analytics, storage and prediction. We will dive deep into the authentication and authorization at scale, the data flow and device synchronization and how the AWS components can help with speeding up development as well as with running complete platforms without the need to manage server instances.