Top Conference Tracks
Machine Learning Business & Strategy
Systems for Machine Learning are structured differently than conventional software systems. Developers and software architects must rethink their approaches and break new ground. The basis for this is a deep understanding of the potential of machine learning and what added value it can generate for your company. In the track “Business & Strategy”, experts present the fundamentals of Machine Learning systems on the basis of practical examples and by making clear what is possible and what may not yet be possible.
Machine Learning Tools & Principles
Machine Learning also comes with a myriad of tools and frameworks whose use not only simplifies Machine Learning, but often makes it possible for business use in the first place. Experts provide insights into tools such as TensorFlow, cognitive cloud services and APIs for Java, C# and JavaScript.
Machine Learning Advanced Development
The track “Machine Learning Advanced Development” is about getting to know the software architecture of Machine Learning systems as practically as possible. It is about the peculiarities of Machine Learning systems that developers should pay attention to, as well as the challenges of data-centered software architectures per se. Experts from leading companies and universities present solutions and provide best practices.
IoT Development & Tools
The programming of IoT software is subject to special challenges because IoT devices usually have little computing power and memory. And even if it is called Internet of Things, it does not mean that the devices are always online. The topics of fault tolerance and communication protocols also play an important role. In the "Development & Tools" track, we present solutions and best practices for programming networked devices.
IoT Business & Strategy
The IoT does not exist as such. Every type – whether B-to-C or C-to-C – and every industry – from home automation to healthcare – must meet its own challenges. In the "Business & Strategy" track, we take a close look at the IoT’s various industries and shed light on viable business models.
For more information about the Machine Learning Conference and the Internet of Things Conference in Berlin visit https://mlconference.ai and https://iotcon.de/en/.
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