At the intersection of media and web performance, Doug will give us his perspective on using AI and ML to perform object detection and improve the images and videos on websites.

Agenda:

This is a hands-on workshop exploring how you can use Azure to build, test, and operationalize Machine Learning models at scale.

Basic knowledge of Machine Learning concepts and Python will be useful to get the most out of the workshop, but not required.

1. Overview of Machine Learning options in Azure
2. Azure Machine Learning – training, testing and operationalization of ML at scale
3. Automated ML – deliver better ML models, faster

Contextual awareness and recommender features will gradually complete the intelligent behavior of all connected “things” around us, providing augmented sensing experiences but what should we expect from intelligent and contextually aware sensor networks, especially in harsh or secluded environments? The answer is straightforward: A proactive and intelligent response based on their awareness of both the ambient environment and the contextual situation, even when withstanding strong winds, floods, extreme temperatures or mechanical shocks.

This presentation will showcase the presenter’s inceptive work as part of the technical team of a conservation project focusing on endangered populations of giraffes and leopards in the context of surface roads infrastructure modernization and urban expansion.

1. Apache Kafka Fundamentals

• It is just an infinite file
• Producers: writing messages to Kafka
• Consumers: reading from Kafka
• Hands-on using command line

2. Kafka as a messaging bus

• Sending events and/or state over the bus
• Event-driven architecture vs. event-sourcing architecture

3. Kafka Streams

• KStreams
• KTables
• KSQL Overview
• Hands on using Kafka SQL

Prerequisites

• general understanding of cloud, big data, SQL

Requirements

• internet connection
•  ssh client installed

I’m not saying that these questions will get a full response in the presentation, nor do I say that they are the only ones; but I’ll share how we at Revolut responded (or sometimes partially responded) to them. We’ll talk how the landscape changed while the growth has been exponential, how we tackled the challenges, as a startup, and spoiler alert, not all are success stories!

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This is a workshop aimed at Data Engineers and Developers that are building a BI platform, looking for a hands-on demo of Looker, or looking to optimize their existing systems.

You will learn:

• How to structure your data so it makes sense for your users
• Pointers on achieving adoption and data culture
• Building healthy and useful dashboards

What you will need for this workshop:

• A laptop with internet
• Average level SQL knowledge

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