PyData Hamburg & PyData Berlin July Meetup

Hello PyData Hamburg community,

We are excited to invite you for a joint meetup with PyData Berlin (https://www.meetup.com/PyData-Berlin/), brought to you by IBM. Join us for an evening with inspiring talks, knowledge sharing and networking.

What you need to know to participate in remote meetups:

• The link to the Zoom meeting will be displayed to you on meetup.com when you RSVP. Please do not share it.
• You need to be logged in with a free Zoom account - this is an anti-troll measure.
• Please check in a few minutes before the event starts so we can support you with questions about access.
• We will also have a social event afterward using Wonder.me for people who would like to exchange. We will also share the link in the comments.

Take care, stay healthy and see you soon!

Your PyData Hamburg crew

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# Networking: join at 18:45h, bring a beverage and meet awesome humans - the talks will start at 19:00h

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# (Talk 1) Jagadish Mahendran: AI based visual assistance system

An unobtrusive AI powered visual assistance system to help visually impaired people navigate their surroundings by understanding environmental conditions using deep learning on edge AI devices.

Jagadish Mahendran is an AI and Perception Engineer with a background in deep learning, computer vision, unsupervised and reinforcement learning. He has developed perception systems for various kinds of robots including inventory robots and kitchen robots. Jagadish has won international AI competitions such as OpenCV Spatial AI competition and Animal AI Olympics. He is an inventor on various AI and robotics patents, and a regular reviewer of AI research articles. His focus is on creating AI solutions that can impact humanity in a meaningful way, and also to create awareness surrounding AI. Currently, he is involved with Ximira, a team with a mission to develop a vision system for visually impaired people, to increase their involvement in daily activities.

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# (Talk 2) Luciano Resende: Introducing Elyra: Extending JupyterLab for AI

Creating an AI pipeline often involves learning/writing another layer of code to orchestrate the flow of information. Managing environments, artifact handling and system resources can feel daunting for those unfamiliar with Infrastructure side of AI. Elyra's pipeline editor abstracts patterns in workflow development to provide a friendly and familiar interface in JupyterLab in a NoCode/LowCode fashion and integrates with workflow orchestrators like Kubeflow Pipelines and Apache Airflow.
This presentation will detail how Elyra, an Open Source project, creates AI pipelines and execute them locally or in external runtimes such as Kubeflow Pipelines and Apache Airflow, all without having to leave your JupyterLab development environment. We will also look at other useful Elyra functionality that helps data scientists overcome the day to day model development complexities, all these using live demos throughout the presentation.

Luciano Resende is an Open Source AI Platform Architect with IBM's CODAIT group. He's a highly performant technical leader that embraces challenges and complex problems to drive breakthrough innovations. Luciano's expertise is in open source, and enterprise-grade AI platform technologies with about 20 years of experience successfully designing, building and delivering complex software in fortune 500 companies and open source. He has a strong background in open source big data platforms such as Apache Spark, and data science building blocks such as the Jupyter Notebook Stack and Apache Toree Scala kernel.

PyData is a community for developers and users of open source data tools. PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. The PyData Code of Conduct governs this meetup.