Intelligence Artificielle The power AI is providing for the IoT deployment has become a game-changer, being one of the drivers of IoT. Offering a multitude of advantages based on the capacity to automate services, management, and maintenance of IoT devices, but current centralized solutions present certain vulnerabilities such as, security, data processing, and real-time data to information. To solve it we will present a decentralized AI data to information refinement.
Intelligence Artificielle AI enabled IoT creates intelligent machines that simulate smart behavior and supports in decision making with little or no human interference. Attend this session to learn about using machine learning to train custom object detection model, use Azure Percept to collect data, deploy model and manage edge device.
Intelligence Artificielle We will create an optical character recognition (OCR) application using Angular and the Azure Computer Vision Cognitive Service. Computer Vision is an AI service that analyzes content in images. We will use the OCR feature of Computer Vision to detect the printed text in an image. The application will extract the text from the image and detects the language of the text. This app will support 25 different languages.
Intelligence Artificielle In this session you will learn how Neural networks are used to make predictions by predicting what type of pie will be created with different ingredients. But watch out! whenever you train data models you have to watch out for bias, and we'll look at Indigenous cooking practices from Chef David Wolfman to see if our Neural Network is inclusive! This workshop uses a drag and drop web interface, no coding experience required.
Intelligence Artificielle In this session Sam will walk you through the processing of time series data and he'll discuss some common roadblocks in time series analytics.
Not only will we focus on time series analytics and predictions for the future but you’ll also see which Azure services can be used and how they can be applied. We will tackle Time Series Insights, Azure Machine Learning and Azure Data Explorer and how they can be combined in data driven solutions.
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