Azure Cognitive Services brings intelligence & increased productivity to your business processes | AI Show

Posted on Posted in aft-ai, AI

Showcasing how you can build productive and intelligent solutions with Azure Cognitive Services. We’ll walk through a series of demos highlighting our Computer Vision, Form Recognizer and Custom Vision services.   Re-Visit Your Favorite Part:  [00:39] Here we showcase how the Cognitive Services are allowing businesses to be more productive and intelligent. Azure Cognitive Services […]

Azure Machine Learning Datasets | AI Show

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Azure machine learning datasets is our solution to manage your data for machine learning. With datasets, you can directly access data from multiple sources without incurring extra storage cost; load data for training and inference through unified interface and built in support for open source libraries; track your data in ML experiments for reproducibility. Re-Visit […]

Data Drift Monitoring for Azure ML Datasets | AI Show

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In this episode, you’ll see how drift in data can be detected using machine learning in the Azure Machine Learning service.  Re-Visit Your Favorite Part:  [00:21] Introductions[00:45] Quick intro to Datasets in ML[01:15] Data Monitoring overview [04:11] What are we measuring?[05:41] User Interface in Azure ML studio[08:28] How you can run this[10:43] How you can […]

Global AI Bootcamp Keynote | AI Show

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Recently the Global AI Community held their annual Global AI Bootcamp where Eric Boyd (Corporate Vice President of Azure AI) was the keynote speaker! We thought it would be a great idea to share this keynote as part of the AI Show. In this segment, Eric Boyd and Seth Juarez discuss Azure AI’s strategy and […]

Save costs training on AMLCompute | AI Show

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With ever changing data and customer signals continuous training and retraining can incur higher costs, especially on GPUs for deep learning models. In AzureML, we have heard this concern loud and clear, and we want to share some tips to manage your costs and spend your budget wisely. Come learn about the latest updates to […]

Cognitive Services | AI Show

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Explore the Metropolitan Museum’s collection using Cognitive Services on Spark.  [00:39] – Description of the Met’s Open Access initiative [01:49] – Demo: enrich the Met’s dataset with intelligent annotations using Computer Vision service on Spark [05:00] – Demo: push intelligent annotations to Azure Cognitive Search [05:17] – Demo: use Art Explorer to explore the Met’s […]

Azure Cognitive Search | AI Show

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Show how organizations do more with their data using the and AI capabilities of Azure Cognitive Search. I’ll show how they can take data from databases and files and easily mine it for additional knowledge, allowing them to better explore and understand their information.   Additional information: Docs The AI Show’s Favorite links: Don’t miss new […]

Democratize AI with Azure Machine Learning designer | AI Show

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Azure Machine Learning has a large library of algorithms from the classification, recommender systems, clustering, anomaly detection, regression and text analytics families. Each is designed to address a different type of machine learning problem. In this demo, you will learn how to use Azure Machine Learning designer in a few simple steps and create an […]

Data Labeling in Azure ML Studio | AI Show

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This video talks about the new ML assisted data labeling capability in Azure Machine Learning Studio. You can create a data labeling project and either label the data yourself, or take help of other domain experts to create labels for you. Multiple labelers can use browser based labeling tools and work in parallel. As human […]

Azure Machine Learning Compute Instance | AI Show

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Azure Machine Learning compute instances (formerly Notebook VMs) is a hosted PaaS offering that supports the full lifecycle of inner-loop ML development–from model authoring, to model training and model deployment. AzureML Compute Instances are deeply integrated with AzureML workspaces and provide a first-class experience for model authoring through integrated notebooks using AzureML Python and R […]