Programme 2022

Time

TRACK 1 (Ballsaal)

TRACK 2 (Kakadu Bar)

TRACK 3 (Roter Salon)

08:30

Admission and registration

Our location: Parkhotel Dresden

09:30

Opening Speech: About finding new love - Jörg Rasinger, Parship

10:00

How to scale a unicorn-building engineering team

Gad Salner, Group Manager @ Melio

This is the story behind one of Melio’s engineering groups, and how we’re building a kickass, world-class team, which among other things, is changing the conversation around payments. In this talk, I'll take a deep dive into our new strategy step-by-step, from planning to execution: my structured game plan for empowering engineers to drive your team’s rapid growth in size, responsibility, and impact.

Software 2.0: How does data become an AI software artifact?

Johannes Hötter, Co-Founder & CEO @ Kern.AI
Qualitative training and test data are the foundation of modern supervised learning systems, often referred to as Software 2.0 in the context of self-learning algorithms. But how will the development, maintenance, and documentation of software change in the coming years when data-inherent patterns become part of the application logic? In this talk, we will learn excerpts from modern technologies such as weak supervision and confident learning, and provide examples here of how the future of AI software development can become data-centric.

Lets talk about Javascript

Andreas Roth, Dev Lead & Trainer @ esveo

In this talk we want to differentiate between hype and trend, and further inspect 3 topics, that emerged in the ecosystem and massively improved user and development experience: (Native) Compilers, that allow us to use other programming languages and optimize our code for better bundle size and runtime performance, Serverless infrastructure at the edge, that helps us focus on the product while improving loading times for our users, Ressurgence of Server Side Rendering but with a unified development experience between server and client. If you have not been active in web development during the last years, this talk is the perfect refresher to get up to speed.

10:45

Next, Nest, Nuxt?...Nust?

Marius Obert, Developer Evangelist @ Twilio
By the time this talk is over, someone will have invented a new JS framework. Thankfully it's probably not gained much popularity yet. In the meantime, Express.js is no longer the most used framework, SvelteKit recently took the top spot in the latest StateOfJS survey with several others following closely. In this session we'll compare the big frameworks of today, check out their features, what they are missing and consider their different use-cases. By the end of the talk, there might be a new framework, but at least you'll know when and where to use the existing ones.

Using AI for the perfect pitch

Max Vorhauer, Product Manager @ Mataono

Together with my team we utilize multiple convolutional neural networks that capture the emotions of participants in meetings.
In my talk, I will present to you our setup of our emotion analysis and our most important findings. I will talk about our architecture for face detection and emotion analysis. While using CNNs is the way to go for analysing visuals, we encountered a few challenges during development, I want to mention. But I’ll also talk about use cases and give insights into the structure of winning pitches.
The twist: For this presentation I prepared an extensive pitch deck and tested it with colleagues. Only slides that performed as intended were selected for this talk.

Output, outcome, burn out - How can we be so slow while working so hard? A different perspective on Software Development processes.

Mirko Seifert, CEO and one of the founders @ DevBoost
In this talk we'll present a few famous ideas that revolutionized industrial manufacturing processes. We will check how/whether these ideas can be transferred to modern Software Development processes. We'll ask ourselves how machines and humans differ, what sets physical and virtual goods apart, how we can figure out what slows us down and what to do about it. The talk will not teach a new framework or tool or cloud service, but it might fundamentally change how you look at the work you and your team is doing every day.

11:30

The Data Science Gap: don’t hire the horse before the cart

Irina Ioana Brudaru, Head of Analytics @ Lovoo

What should a data leader’s priorities be, when in a new role or when they hire a new team? This is a struggle of many: which roles and skills should be covered first versus the current trends that skew towards AI/ML without a solid foundation beforehand. We will also touch on what makes successful data teams, which skills are and will always be in demand and what makes a data science model, a successful one in production.

Sniffing Machines

Adrian Kostrz, Innovation Manager AI & Robotics & Daniel Lorenz, Teamlead & Global Topic Lead Artificial Intelligence @ NTT DATA Business Solutions

Smell can be one of the main quality indicators of a product and it can bring additional information on the stages of its production, storage and distribution. But in most cases, its measurement still relies on human's noses. There is no scalable objective smell recognition available. We are working on an AI Nose which is using odor sensor data for collecting, understanding and distinguishing different smells and uses the results for supporting quality or logistics related processes. AI models are capable to recognize smell without human bias or involvement.

How to perfect the secrecy of your messages with the "Ring of Protection"

Stephan Radke, Lead Engineer RFID Applications @ Linxens

The basics of this idea was introduced at the "Datenspuren 2021" organized by the Chaos Computer Club Dresden. In the talk I will briefly cover basics of encryption and show about general hacking approaches. Shannon already found a way to secure messages even quantum computers will never solve. This approach has been used to successfully cipher information between telephones of presidents and governors. So, why not make it available to everyone?

12:15

Lunch & Networking

13:15

Meetup Expo (Blauer Salon)

14:00

From zero to migration hero: A tale of a data warehouse migration

Victoria Perez Mola, Solutions Architect @ dbt Labs
During this talk, I'll cover how we migrated a cloud data warehouse from Redshift to Snowflake using tools like dbt and etleap to build a more stable and reliable data platform. I will go into details on how we approached the planning, execution and progress monitoring of the cloud migration. I will share my learnings and the tips and tricks that helped us the most during the six week long project. At the end of the talk, you will have a better understanding of how to plan a strategy that will make it easier and faster to migrate to a cloud data warehouse.

Classification of bank transactions: An example from a Smart Billment perspective

Stefanie Lösch, Data specialist & Jan Gairing, Data scientist @ aifinyo
Every day, companies generate countless bank transaction data – from purchases of goods, wage and tax payments to sales revenues. Classification and interpretation of these transactions are valuable - not only to the accountant, but help management and controlling to understand, and steer their business processes. aifinyo provides Smart Billment solutions to growing companies and businesses. In this context, we give a comparison of several machine learning classifiers.

Juice It Up! - tips and tricks to improve game feel

Tino Göhlert, Software Engineer @ WAKU Robotics

A good mechanic is only a fraction of what makes a fun game. We want to show how to spice up your game idea to better transport your vision and make your game stand out.

14:45

Warning: This is not another MLOps practics talk

Amit Bendor, Head of AI & Data Science @ Artlist

There are many tools and “best practices” out there for MLOps today. How do you take this overwhelming amount of tools and transform them into a production-grade research infrastructure? In this session, I will share with you our journey at Artlist - starting from scratch to where we’re at today. We’ll go in-depth into 3 different implementations of our values into real tools that my team and I work with every day.

Protocol oriented programming in Kotlin

Mustafa Karademir, Senior Mobile Engineer (Android) @ Lovoo

The basic problem with programming in Kotlin today is that we like to use base classes to avoid boiler code. Swift, for example, often takes a different approach, but is it really the only protocol-oriented programming language? In this talk I would like to encourage developers to think beyond the general limitations of Kotlin and show it from a completely different perspective. Kotlin has much more power than you might think at first.

Spanner in the Online Boutique

Daniel Quinlan, Customer Engineer Specialist @ Google

Google Cloud Platform's 'microservices-demo' project shows a real-world example of a working online storefront, the "Online Boutique". Cloud Spanner is Google’s Cloud-Native, horizontally scalable, relational database. Microservices and Spanner are a perfect fit for each other. So we’ve added Spanner as the database backing the microservices demo. Now, the entire application has real-world, unlimited horizontal scalability, in both the application and data layer. We’ll demonstrate the changes needed to the original microservices-demo code, discuss some tricky parts about the integration, and show the whole project deployed to Google Kubernetes Engine and Spanner.

15:30

Coffee Break & Networking

16:00

Why most software projects fail silently.

Hendrik Lösch, Management Consultant @ ZEISS Digital Innovation

Software has several characteristics that distinguish it from other goods. These include, that it is not subject to any laws of nature, is easy to change, theoretically infinitely replicable and largely invisible. This culminates in a special kind of complexity that makes it difficult even for experienced software developers and architects to lead their projects to success. In this talk, we will therefore look deeper into the effects that the described characteristics have and how they affect any software system, be it the small mobile app or the enterprise cloud cluster.

JOB CLUB

16:00 - 17:30

You're interested in what our exhibiting companies have to offer? Join the Job Club to meet your future employer. Meeting time is 15:30 in the entrance area.

Jenkins meet YAML

Christoph Poerschmann, Software Engineer @ elevait
CI/CD is a key topic in software engineering to speed up development, deployment and keep the code base healthy. We will share our solution using Jenkins with a modern pipeline syntax that enables powerful CI/CD techniques with minimal effort to ease developers’ and operations’ daily work.

16:45

Reproducibility in Machine Learning: How far should we go to enable products?

Peter Steinbach, AI Consulting Team Lead @ Helmholtz-Zentrum Dresden-Rossendorf

We all know Machine Learning can do great things - on paper. But are the published results transferable straight away into products? I share evidence from science if, how or why AI methods are tricky to transfer from benchmark wonderland to real life. I ask and try to answer: What are ways forward?

JOB CLUB

16:00 - 17:30

You're interested in what our exhibiting companies have to offer? Join the Job Club to meet your future employer. Meeting time is 15:30 in the entrance area.

17:30

Closing Talk

18:30

Dinner & Networking

17:45

After-Show-Party

15:00

What’s currently hot in AI – review of the latest research findings

Torsten Hartmann, CEO @ Avantgarde Labs GmbH

Researchers and practitioners have pushed the state-of-the-art in many subfields of artificial intelligence in the last years. The presentation gives an overview over some of the most promising publications from leading AI conferences like ICML, NIPS or ACL and leading corporate labs like Google Research or Baidu Research.

Myths and Benefits of 5G and Beyond?

Vincent Latzko, PhD Researcher @ TU Dresden

5G has been heralded as the enabler of the next industrial revolution, a prerequisite for autonomous driving, and everything inbetween ('tis not a talk about covid-rays). Now that we have it, we wonder where the promises went: did they smoothly flee to 6G? What exactly was promised, what subset of that was realistic, and what is the technical basis for these visions? Can we still achieve Great Things without waiting another decade (the next G), can or should we put a focus on dataflow privacy, and how is AI helping?

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15:30

GitOps using Flux: How we manage Kubernetes clusters at Staffbase

Rico Berger, Site Reliability Engineer @ Staffbase GmbH
At Staffbase we are using GitOps, to implement Continuous Deployment for cloud native applications. It focuses on a developer-centric experience when operationg infrastructure, by using tools developers are already familiar with. The core idea of GitOps is having a Git repository that always contains declarative descriptions of the infrastructure currently desired in the production environment.

VIRTUAL: Evolution 3.0: solve your everyday problems with genetic algorithm

Mey Beisaron, Backend Developer @ AppsFlyer Inc.
When was the last time you wrote an algorithm to plan your diet? In this talk I will share how I coded a Genetic Algorithm and used it to solve my everyday problems: planning my diet and semester timetable. Using code examples I will bring you closer to solving your everyday problems with GAs.

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16:00

Coffee Break & Networking

16:30

Learning Machines - Machine Learning and Industrial Prognostics

Steffen Seitz, PhD Researcher @ TU Dresden
Monitoring the condition of machines is one of the most important use cases for machine learning in predictive maintenance. In order to train respective models, modern industrial facilities produce terabytes of unlabeled data every day. Unfortunatly, supervised learning approaches rely on labeled data to perform. In this talk, we will discuss this dilemma of supervised learning in industrial prognostics and show how to train meaningful models in order to detect machine failures earlier than ever before.

Building a Central Nervous System for Data with Apache Kafka

Anatoly Zelenin, Freelancing Kafka Expert and Author

Do you want super-powers? Analyzing and reasoning about data in large companies in real-time is one of these! Apache Kafka is not only about moving data between services, but about building a backbone for your data infrastructure.
With such a backbone you know what happens in your company NOW. In this talk, we will explore how Apache Kafka can help you to achieve this and cover how you and your company can avoid common pitfalls. Get ready for the wonderful world of real-time data!

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17:00

You don’t need your freaking Kafka - Event Bus for small teams

Ilja Bauer, CTO & Co-Founder @ Entwicklerheld

Many service architectures use an event bus to integrate multiple services together. The use of an event bus offers many advantages in the way services can be developed, tested and operated. The use of common event bus technologies such as Kafka, RabbitMQ or NATS is associated with a steep learning curve and is not feasible in operation, especially for small teams. However, most teams have a lot of experience with classic relational databases like PostgreSQL or MariaDB. In the presentation, we explain how we use PostgreSQL & Redis as an event bus for over 1.5 million events and thus use the advantages of an event-driven integration for our EntwicklerHeld platform right from the start, without obstruct the switch to a "real" event bus later on.

On the necessity to fail from the perspective of a company that must not fail

Andreas Nicklas, Chief Digital Officer @ SachsenEnergie

As an energy supplier, SachsenEnergie AG operates critical infrastructure. Security and stability naturally come first. In the competition for customers, we also have to be innovative and agile. A field report on squaring the circle.

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17:30

Digital Twin: Cloning real-world robotic devices into the cloud

Florian Purchess, CTO @ WAKU Robotics

A robot revolution is happening right now, that dramatically impacts the way our logisitics and production facilities work. Autonomous mobile robots are springing up like npm packages, covering our shop floors and warehouses. But new technologies always come with their own unique challenges. This is a tale on how we´re tackling them at WAKU Robotics.

VIRTUAL: Technical SEO demystified for web developers

Martin Splitt, Developer Advocate @ Google
The web is a great platform to reach a broad audience with our web apps and sites, but to do so we need to make sure that our web apps are findable for our potential users. In this session we will open up the black box of SEO and find out what we can do in our code to make sure our web apps are search-friendly and gather a set of tools to debug and test our sites for discoverability.

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