Call for Proposals

The Call for Proposals is closed.

The seventh data2day conference is to be held in Heidelberg, Germany, on October 19 to 21, 2020. The event will focus on the whole range of topics associated with Big Data, Data Science, and Machine Learning. It aims to present fundamental knowledge as well as experiences from practical work and informs about the most important theories, tools, and technologies.

Three partners in the field of computing/IT have teamed up to host the conference: heise Developer, the online channel for software development; dpunkt.verlag, publisher of reference books for the professional computing scene; and iX, the magazine for professional information technology. The hosts invite you to submit your proposals on one or more of the following topics by May 11, 2020:

Concepts and Implementations

Smart Data: intelligent creation of value for Big Data
Fast Data: design and setup technologies needed to extract data in a fast and efficient way
Secure Data: methods and strategies to protect business data, strategies for cases of emergency
Blueprints for Big Data architectures
Organisational Concepts for using Big Data and Data Science
Data Hubs/Data Lakes
Visualization
Distinctions between classical Data Warehousing and new approaches
Business Analytics
Internet of Things (IoT)
Data protection and other legal aspects
Adjusted and new job descriptions

Tools

Apache Hadoop and its ecosystem, distributions and other platforms, frameworks, and tools for analysis of structured and unstructured measured data
Technologies for full-text and real-time search
Established programming languages for analyzing, processing and transfering data, query languages
NoSQL and NewSQL Stores
In-Memory databases
In-Memory-Computation Grids
Event-Processing systems
Content Delivery Networks
Data services in the Cloud
Free versus commercial tools

The emphasis will be on hands-on introductions, conceptual decisions, live demos, or comparison of different techniques. Presentations that are based solely on promoting a product will not be allowed.

Machine Learning and Artificial Intelligence

Data Science
Machine Learning and Deep Learning (Convolutional Neural Networks, Bayesian Methods, CRFs, SVMs, Evolutionary/Genetic Algorithms, Decision Trees ...)
Cognitive Computing
Computer Vision, Natural Language Processing, Image and Voice Recognition
Predictive analytics
Knowledge acquisition, representation, networks
Connecting to Big Data systems such as Apache Spark
ML libraries and frameworks such as TensorFlow, Theano, Scikit-learn or Caffe
Ethical aspects

Lessons Learned

Ongoing and completed projects that have implemented Big Data, Data Science, Machine Learning and similar approaches
Migrating classic data warehouse and business intelligence projects to Big Data & Co.
Use cases that have led to measurable improvements in business through data analysis
Use of Tools for modern data-centered applications (presented in the context of specific areas of application and usage scenarios)
Interaction and integration of different tools

Please indicate your preference for a regular presentation lasting up to 45 minutes or for a long session of up to 75 minutes. Tutorials have been scheduled for full days (6-7 hours). Please send a target-group-specific abstract (400–700 characters) of your proposed presentation. Supplementary materials (long abstracts, slides, Proposals, etc.) are also welcome.

The deadline for submissions is May 11th, 2020. The complete schedule will be available online by end of June.

Find the members of the conference board here.

Please feel free to contact us with questions regarding the conference or schedule of events programmbeirat@data2day.de

Call for Proposals

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