Name: Building a real-time bridge with Kafka to the Cloud
Start: 2022-03-08T18:00:00+01:00
End: 2022-03-08T19:30:00+01:00

Hello Streamers!

Please find the details to join this fun and informative virtual meetup below.

Find information about upcoming meetups and tons of content from past Kafka Meetups all over the world:
[cnfl.io/meetup-hub](http://cnfl.io/meetup-hub)
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Agenda (time below is GMT+1):
6:00pm-6:05pm: Online networking (optional)

6:05pm -6:45pm: AI from the Edge, Alexandru Cocinda, Head of Development, AIVA

6:45pm - 7:20 pm: Dashing Off A Dashboard, Kris Jenkins, Senior Developer Advocate, Confluent

7:20pm - 7:30pm: Q&A
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Joining our slack space is not instant, so ensure that you are in, in time for the event, follow the steps within this link before the day of the event if you can! [cnfl.io/slack](http://cnfl.io/slack)
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Speaker One:
Alexandru Cocîndă, Head of Development, AiVA

Title:
AI from the Edge

Abstract:
AiVA solves problems and brings value in Retail, Commercial spaces and Manufacturing by deploying Computer Vision on the Edge. Processing the data locally brings unique advantages and led us to discover the inherent challenges from the early days. In this live meet-up we will go through some of the challenges we have dealt with so far and the corresponding strategies we came up with. The second part will have a live demo in which we will start an edge-to-cloud hybrid deployment. The deployment will consist of a hardware accelerated AI app, a local Apache Kafka cluster, Conveyor (the tool for conveying the data to the cloud) and Confluent Cloud.

Bio:
Alex is Head of Development for AiVA. He started his career in Computer Vision immediately after graduating from high school and is continuously extending his expertise to the very brink of what AI can offer. He went through basic neural networks research as a Data Scientist, then moved to hardware accelerated software engineering as a ML Engineer and finally found himself envisioning AiVA's technological long term strategy as the Head of Development. Over the last 3 years he has successfully trained multiple AI models, created several libraries and applications for edge computing and has created a scalable event-driven architecture suitable for deploying tens of thousands of devices worldwide. Therefore, by having worked in research, engineering, system administration, cloud administration and architecturing he has a unique top to bottom understanding of AI deployed in IoT environments. Last but not least, he uses NeoVim.
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Speaker Two:
Kris Jenkins, Senior Developer Advocate, Confluent

Title:
Dashing Off A Dashboard

Abstract:
How much can we do with Kafka in 30 minutes of coding? Let’s find out. In this live-coding session we’ll build a real-time dashboard from scratch. Dancing across three languages - KSQL, Python and JavaScript - we’ll piece together the skeleton of a dashboard that could serve KPIs to everyone in your organisation, or just form the basis of your next lunchtime hacking session.

Bio:
Kris Jenkins is the former CTO of a gold-trading company, contractor for a number of internet startups, and now Senior Developer Advocate at Confluent. He enjoys anything that makes system architecture simpler and more reliable (like functional programming and event-based systems), and anything that puts the fun back into coding (like meetups, hackathons, and playing with new technology).
Kris lives in London with his noun phrase and two subjunctive clauses.
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Online Meetup Etiquette:
•Please unmute yourself when you have a question.
•Please hold your questions until the end of the presentation or use the zoomchat!
•Please arrive on time as zoom meetings can become locked for many reasons (though if you get locked out a recording will be available, but you may have to wait a little while for it!)
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If you would like to speak or host our next event please let us know! community@[confluent.io](http://confluent.io/)

Alice Richardson

Poznań Apache Kafka® Meetup by Confluent

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Building a real-time bridge with Kafka to the Cloud

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Poznań Apache Kafka® Meetup by Confluent

Building a real-time bridge with Kafka to the Cloud

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