DecompileD Conference

September 24, 2021 | OSTRA Dome, Dresden

DecompileD 2021 - Develop yourselves!

DecompileD is the conference by developers for developers. Whether mobile, cloud, big data, analytics, machine learning or artificial intelligence - in workshops, talks, meetups and sessions, the focus is on current challenges, solutions and products in software development. The goal of DecompileD is to disseminate knowledge, benefit from the know-how of others, and find and discuss solutions and fresh ideas.

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Programme 2021

Rewrite or Refactor That Is the Question

Vladimir Jovanović, Senior Android Engineer @ Flixbus

Your app is in really bad shape, and you are not sure if you should refactor it or go for a rewrite. This talk will give you all the information necessary to make the right decision. We will follow the Android and iOS teams at FlixBus fighting with legacy code, each in their own way. The Android team chose to refactor their old app, while the iOS team decided to create a brand new application.

Automatic Data Extraction in arbitrary Documents

Bianca Preißler and Toni Das, Machine Learning Engineers @ elevait

We will talk about how to bring automatization to an industrial context, using machine learning, especially computer vision. Exemplarily, as a showcase, we will present a domain-agnostic workflow to extract information from documents and discuss techniques, challenges and successes along the way.

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.

Machine learning at the IoT edge

Florian Mair, Solutions Architect @ Amazon Web Services

Whether it's connected cars, smart home devices or industrial solutions, IoT applications are rapidly becoming smarter. Edge computing is helping to drive this transformation. IoT devices not only collect and transmit the data, but also perform predictive analytics and respond to local events, even without cloud connectivity. Learn more about ML Inference at the Edge, why it matters and how you can use it to create intelligent IoT applications.

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