Google Cloud and SoftServe Meet-up: Machine Learning Design, Demystified in Munich

WHAT

Join us at the Google Munich office for our free meet-up, “Machine Learning Design, Demystified” for free food, beer, and discussion on machine learning (ML) architecture.

Once available only to scientists, machine learning is now open to a much broader audience of software architects and engineers. Inspired by attribute-driven design (ADD) and Smart Decisions (a software architecture design game for big data), the authors will present a new version of the game focused on designing ML systems.

In this participatory session, we will simulate state-of-the-art ML design systems by analyzing both business and technical requirements, then selecting the best matching algorithms, and finally, teaching how to validate early design decisions using rapid prototyping techniques.

Attendees are encouraged to think of an ML use case and bring it to the meet-up for discussion.

WHO

Serge Haziev – SVP, Advanced Technology

Serge Haziyev works as a SVP, Advanced Technology at SoftServe, a digital authority that advises and provides at the cutting-edge of technology.Serge has more than 20 years of experience in various technology domains including: Big Data, AI, IoT, and Cloud Computing.

He is a co-author of Smart Decisions (a.k.a., architectural poker game) currently used by SEI CMU to teach students to design Big Data solutions. Also, Serge is an active contributor to the software community by sharing industry-best practices through scientific (and not-so-scientific) publications.

Serge's current activities at SoftServe include leading AI, Big Data, IoT, and R&D advanced technology services, as well as conducting educational workshops, sharing concepts, and providing practical input to emerging technologies.

Iurii Milovanov – Data Science Practice Leader

Iurii Milovanov is a Data Science Practice Leader with more than 10 years of experience in building enterprise-level AI, big data and advanced analytics solutions.

Iurii is a computer science expert with strong emphasis on cutting-edge technologies. His research interests include various aspects of modern, progressive IT, and state-of-the-art artificial intelligence, such as distributed and parallel computing, large-scale machine learning, natural language processing, computer vision, and speech recognition.

Iurii is actively contributing to various research and scientific communities, including his participation in the KarooGP project, a genetic programming suite used at LIGO Lab for detecting gravitational-waves; SIMOC, an interactive model of a scalable, human community located on a remote planet; and DRLearner project, the first open source implementation of Google’s Deep Reinforcement Learning (DQN) algorithm for playing ATARI games.

WHERE

Google Munich Office, Room 10X
Erika-Mann-Straße 33
80636 Munich
Germany

WHEN

January 23, 2019

Agenda

17:30 – Doors Open
18:00 – Speaker + Q&A
18:45 – Networking

About Google

Google is an American multinational technology company that specializes in Internet-related services and products, which include: online advertising technologies, search engine, cloud computing, software, and hardware.