WORKSHOP PRO STAGE C
Monday, February 7, 2022
How does a machine classify different species of animals just by looking at an image? Computer Vision is the branch of Machine learning that does the magic and deep learning helps in achieving it. In this session, I will cover an introduction to Computer Vision, Deep Neural Networks and show how to build a serverless image classification application using Microsoft Azure Functions and ML.Net framework. The implementation will be in C# language.
Modern systems today are far more complex to monitor.
Microservices combined with containerized deployment results in highly dynamic systems with many moving parts across multiple layers.
These systems emit massive amounts of highly dimensional telemetry data from hardware and the operating system, through Docker and Kubernetes, all the way to application and its databases, web proxies and other frameworks.
Many have come to realize that the commonly prescribed Graphite+StatsD monitoring stack is no longer sufficient to cover their backs.
New requirements need to be considered when choosing a monitoring solution for the job, including scalability, query flexibility and metrics collection.
In this talk Horovits will look at the characteristics of modern systems and what to look for in a good monitoring system. He will also discuss the common open source tools, from the days of Graphite and StatsD to the currently dominant Prometheus.
This talk will put you on the right track for choosing the right monitoring solution for your needs.
Hyperledger Fabric is the most popular framework for developing blockchain applications for the enterprise. This session will present its unique characteristics, some of the use cases it is designed for, and discuss the latest developments and what's yet to come. Attendees will leave with the information they need to get started developing their own applications with Fabric.
PRO WORKSHOP: Develop, Deploy and Govern AI: Building an Huggingface End to End Sentiment AI Solution
Learn how to develop, fine tune and deploy an end to end AI application. Focused on an NLP solution architecture that incorporates the latest advancements in NLP from Huggingface as well as optimized Tensorflow and Pytorch containers from from Intel and Nvidia into a robust automated pipeline capable of accounting for Data drift and Model drift while providing Inference API’s that support an interactive application and real time Kafka inferencing on live Twitter streams. Using cnvrg.io Metacloud every aspect of this hybrid solution can be developed collaboratively in a single control plane which manages execution across all of your on-premise investments, while also allowing you to dynamically leverage cloud based compute resources.
This workshop will give you an end to end example that will help you solve your next NLP problem, and strategies to maintain your model in production.