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DevConf.cz 2018 has ended

DevConf.cz 2018 is the 10th annual, free, Red Hat sponsored community conference for developers, admins, DevOps engineers, testers, documentation writers and other contributors to open source technologies such as Linux, Middleware, Virtualization, Storage, Cloud and mobile where FLOSS communities sync, share, and hack on upstream projects together in the beautiful city of Brno, Czech Republic.

When: Friday, January 26 to Sunday, January 28, 2018

Venue: Faculty of Information Technology (VUT FIT - Božetěchova 2, Brno)

Reminders:

  • Friday 17:15: at the venue there will be a surprise show, stick around!
  • Saturday 19:00: the social event starts at Fleda Club. TICKET IS REQUIRED. Tickets will be distributed each day at check-in. First come, first serve.
  • Sunday 17:00: there will be many prizes given away at the closing session.

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AI / ML / Data [clear filter]
Friday, January 26
 

10:30am

Red Hat's Open Source AI Vision
Limited Capacity seats available

"Analytics, Machine Learning, and AI represent a fundamental transformation that over the coming decade will affect every aspect of society, business and industry. It will fundamentally change, how we interact with Computers - and how we develop, maintain, and operate systems. It's impact will be visible in our part of the universe much sooner than for the analog world. This deeply affects both Open Source in general, as well as Red Hat, it's ecosystem and customer base.
This talk will provide a perspective on Red Hat's thinking around AI in the broadest sense."

Speakers
avatar for Daniel Riek

Daniel Riek

Senior Director, Artificial Intelligence CoE, Red Hat, Inc


Friday January 26, 2018 10:30am - 10:53am
A-D105 Faculty of Information Technology (VUT FIT)

11:00am

Global revolution in machine learning
Limited Capacity seats available

"Many researchers and developers consider machine learning and artificial intelligence to be the next global revolution similar to industrial revolution. It's known even today that machine learning and AI can have global impact on things we do on daily basis. Computers already substituted human being in various daily activities helping people to be more productive or enjoy life in a different way. Let's have a look at technical aspects how machine learning works, what are the main principles and how you can start with machine learning and AI."

Speakers
avatar for Fridolín Pokorný

Fridolín Pokorný

Software Engineer
Fridolín Pokorný is a software engineer at Red Hat with a focus on big data processing, machine learning and AI.


Friday January 26, 2018 11:00am - 11:23am
A-D105 Faculty of Information Technology (VUT FIT)

11:30am

Autonomous Security Agents
Limited Capacity seats available

"Computer attacks are basically driven by scripts. The reconnaissance, exploitation, collection of interesting material, and lateral movement can happen in seconds. As demonstrated at DARPA's Cyber Grand Challenge this year, computer security will have to match the speed at which attacks move through these phases. A way to do this is with autonomous security agents that monitor the system and perform actions to deal with threats. This talk will outline how this can be achieved using the audit system and machine learning techniques."

Speakers
avatar for Steven Grubb

Steven Grubb

Security Architect, Red Hat
Steve Grubb is a Senior Principal Engineer whose role in Red Hat Engineering is as a Security Architect with a focus on Security Certifications (such as Common Criteriai, SCAP, and FIPS-140) and configuration Guidance (such as DISA STIG, USGCB, and the CIS RHEL Benchmark). He also... Read More →


Friday January 26, 2018 11:30am - 12:23pm
A-D105 Faculty of Information Technology (VUT FIT)

12:30pm

Probabilistic structures for scalable computing
Limited Capacity seats available

"In this talk you'll learn about streaming algorithms and approximate data structures to characterize data sources that are too big to keep around or difficult to replay. We'll start simple, with an algorithm for on-line mean and variance estimates of a stream of samples. Then we'll look at Bloom filters (for approximate set membership), count-min sketch (for approximate member count in a multiset), and HyperLogLog (for approximate set cardinality). We'll cover implementing these algorithms, using them for data analysis (and even machine learning), and provide some intuition for why they work at scale. Come with reading knowledge of Python and leave with some cool new options in your scalable data processing toolbox!"

Speakers
avatar for William Benton

William Benton

Senior Principal Software Engineer, Red Hat, Inc.
William Benton leads a team of data scientists and engineers at Red Hat, where he has applied machine learning to problems ranging from forecasting public cloud costs to designing cycling workouts. His other professional experience includes static analysis, logic programming, and... Read More →


Friday January 26, 2018 12:30pm - 1:23pm
A-D105 Faculty of Information Technology (VUT FIT)

1:30pm

Search and Learning-based Software Engineering
Limited Capacity seats available

"Search and learning-based software engineering is about the exploitation of optimization and machine learning methods for the software engineering domain. The goal is to move the practices in software engineering from the human-based to machine-based problem-solving. Search and learning-based software engineering has been examined, researched, and developed in the last decade in the academia. The research output has shown many useful applications for the industry. However, while the area is promising, less effort has been made to transfer those discovered methods from academia to industry. This talk tries to explain the transition opportunities of search and learning-based software engineering from academia to industry. The talk will present many possibilities for applications."

Speakers
avatar for Bestoun Al-Beywanee

Bestoun Al-Beywanee

Assistant Professor of software engineering, Czech Technical University
Obtained a Ph.D. in Software engineering. Worked as a researcher attached to the Universiti Sains Malaysia. He worked also as a researcher in the Swiss AI Lab. He is an assist. professor in the dep. of computer science and the co-founder of Software Testing Intelligent Lab (STILL... Read More →


Friday January 26, 2018 1:30pm - 2:23pm
A-D105 Faculty of Information Technology (VUT FIT)

2:30pm

Collaborative Filtering Microservices on Spark
Limited Capacity seats available

"The Alternating Least Squares (ALS) algorithm is still deemed the industry standard in collaborative filtering. In this talk we will focus on Apache Spark’s ALS implementation and discuss the steps we took to build a distributed recommendation engine, focusing on continuous model training and model management. We show that, by splitting the recommendation engine into microservices, we were able to reduce the system’s complexity and produce a robust collaborative filtering platform with support for continuous model training. At the end of this talk, you should be equipped with enough tools and ideas to implement your own collaborative algorithm and avoid some common pitfalls."

Speakers
avatar for Rui Vieira

Rui Vieira

Software Engineer
Rui is a Software Engineer at Red Hat working on Data Science, Apache Spark and Spark Streaming applications.
avatar for Sophie Watson

Sophie Watson

Software Engineer
Sophie is a software engineer at Red Hat, and has recently finished a PhD in Bayesian Statistics


Friday January 26, 2018 2:30pm - 2:53pm
A-D105 Faculty of Information Technology (VUT FIT)

4:00pm

Analyzing Blockchain in Spark
Limited Capacity seats available

"I will show how you can leverage the containers and run the Spark cluster on top of OpenShift. For demonstration purposes, I'll be demoing the Blockchain analysis in Jupyter interactive notebook using the external Spark cluster running in OpenShift, everything dockerized.

The talk will briefly describe how Blockchain transactions work. How we can run various queries on the publicly available Blockchain data, graph algorithms such as PageRank for identifying significant BTC addresses and more.

Links:
* https://radanalytics.io
* https://spark.apache.org/graphx
* https://graphframes.github.io"

Speakers
avatar for Jiri Kremser

Jiri Kremser

senior SW engineer / data scientist, Red Hat
senior SW engineer / data scientist


Friday January 26, 2018 4:00pm - 4:53pm
A-D105 Faculty of Information Technology (VUT FIT)