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On this very special episode of the AI Show, Seth is joined by high-school student, Saumya Soni who is here to showcase her creation, AI for Birds - a phone app that bird enthusiasts can use to predict the bird species name and learn more about the species. AI for Birds showcases Cognitive Services with Microsoft Custom Vision AI. Saumya is also the CEO of AI for Environment, a nonprofit on a mission to use technologies including AI, Internet of Things (IoT) and Business Intelligence to generate awareness of and solve global environmental challenges. Check it out! Jump to:[00:16] Seth welcomes Saumya Soni[01:20] Inspiration for AI for Environment[03:26] Demo - AI for Birds[06:10] How Saumya got started[08:36] Challenges training the model[10:00] How AI and IoT can enhance environmental sustainability Learn more:AI for Birds https://www.aiforbirds.com/AI for Environment https://aiforenvironment.org/Custom Vision Microsoft Azure https://aka.ms/AIShow/CustomVision Zero to Hero Machine Learning on Azure https://aka.ms/ZerotoHero/MLonAzureZero to Hero Azure AI https://aka.ms/ZerotoHero/AzureAIMachine Learning for Data Scientists https://aka.ms/AIShow/MLforDataScientistsPackt: Principles of Data Science https://aka.ms/AIShow/DataSciencePacktCreate a Free account (Azure) https://aka.ms/aishow-seth-azurefree Follow Seth https://twitter.com/sethjuarezFollow AI for Environment https://aka.ms/LinkedIn/AIforEnvironment Don't miss new episodes, subscribe to the AI Show https://aka.ms/AIShowsubscribe AI Show Playlist https://aka.ms/AIShowPlaylist Join us every other Friday, for an AI Show livestream on Learn TV and YouTube https://aka.ms/LearnTV - https://aka.ms/AIShowLive

Krishna Doss and Mohamed Elghazali join Ayşegül Yönet to showcase how to break language barriers with Custom Translator, now supporting 100+ languages and dialects! Jump to:[00:16] Introductions[01:00] What problems does Translator address[02:01] Languages and dialects[02:53] Translator Compliance & Data Residency[05:05] Translator Challenges-Domain specific terminology-Accuracy and fluency-Adaptation-Time & cost[07:17] Do I need to be an AI specialist to create custom translations?[10:21] Demo - Custom Translator[14:13] Examples of quality data[26:49] Demo - Custom Translator new portal[29:10] Learn more Learn more:Ignite Data & AI https://aka.ms/IgniteDataAICustom Translation Blog https://aka.ms/CustomTranslationBlogCustom Translation Portal https://aka.ms/CustomTranslationPortalTranslator Docs https://aka.ms/AzureTranslatorDocsPython SDK Kit https://aka.ms/TranslationPythonSDK.NET SDK https://aka.ms/TranslatorDotNetSDKDocument Translation App Githubhttps://aka.ms/DocumentTranslationAppCodeZero to Hero Machine Learning on Azure https://aka.ms/ZeroToHeroMLZero to Hero Azure AI https://aka.ms/ZeroToHeroAzureAIMachine Learning for Data Scientistshttps://aka.ms/ZeroToHeroDataScientistPackt: Principles of Data Sciencehttps://aka.ms/PrinciplesOfDataScienceCreate a Free account (Azure) https://aka.ms/CognitiveServicesFree Follow Ayşegül https://twitter.com/AysSomethingFollow Bea https://twitter.com/beastollnitzBea's blog https://bea.stollnitz.com/blogFollow Krishna https://twitter.com/Krishna_DossFollow Mohamedhttps://www.linkedin.com/in/mohamed-el-ghazali-6863737/ Don't miss new episodes, subscribe to the AI Show https://aka.ms/AIShowsubscribeAI Show Playlist https://aka.ms/AIShowPlaylistJoin us every other Friday, for an AI Show livestream on Learn TV and YouTube https://aka.ms/LearnTV - https://aka.ms/AIShowLive

On today's episode of the AI Show, Seth welcomes Swati Gharse who will show us how to build computer vision models using AutoML for Images! Jump to:[00:29] Welcome Swati[00:46] What kinds of problems Computer Vision solvesMulti-class image classificationMulti-label image classificationObject detectionInstance segmentation[02:15] Why is this so challenging?[03:18] AutoML feature capabilities[05:00] Supported algorithms and tunable hyperparameters[07:30] Demo: Training object detection model[08:33] Using default hyperparameter values for specified algorithm[11:46] Completed AutoML run[15:15] Custom Vision v. Computer Vision v. AutoML for Images[16:40] Learn more Learn more: AutoML Images Blog https://aka.ms/AIShow/AutoMLImages/Blog Zero to Hero Machine Learning on Azure https://aka.ms/ZerotoHero/MLonAzure Zero to Hero Azure AI https://aka.ms/ZerotoHero/AzureAI Machine Learning for Data Scientists https://aka.ms/AIShow/MLforDataScientists Packt: Principles of Data Science https://aka.ms/AIShow/DataSciencePackt Create a Free account (Azure) https://aka.ms/aishow-seth-azurefree Follow Seth https://twitter.com/sethjuarez Follow Swatihttps://www.linkedin.com/in/swati-gharse-3781a97/ AI Show Playlist https://aka.ms/AIShowPlaylist Don't miss new episodes, subscribe to the AI Show https://aka.ms/AIShowsubscribe Join us every other Friday, for an AI Show livestream on Learn TV and YouTube https://aka.ms/LearnTV - https://aka.ms/AIShowLive

On this episode of the AI Show, we're talking about MLOps. Seth welcomes Microsoft Data Scientist, Spyros Marketos, ML Engineer, Davide Fornelli and Data Engineer, Samarendra Panda. Together they make up an AI Taskforce and they'll give us a high-level intro into MLOps and share some of the surprises and lessons they've learned along the way! Jump to:[00:17] AI Show Intro[00:34] Welcome and Introductions[01:41] Use cases from the AI Taskforce[02:47] Commonalities across projects[03:50] Common challenges - from the Data Engineer perspective[06:47] Common challenges - from the ML Engineer perspective[08:46] Common challenges from the Data Science perspective[10:48] What does success in MLOps look like?[12:30] Surprising challenges working with customers and how to avoid them[19:27] Review - what is ML Ops[19:45] MLOps in Delivery mission[21:57] MLOps principles[27:52] Tips from the pros Learn more:Machine Learning for Data Scientists https://aka.ms/AIShow/MLforDataScientistsPakt: Principles of Data Science https://aka.ms/AIShow/DataSciencePacktZero to Hero Machine Learning on Azure https://aka.ms/ZerotoHero/MLonAzureZero to Hero Azure AI https://aka.ms/ZerotoHero/AzureAICreate a Free account (Azure) https://aka.ms/aishow-seth-azurefree Follow Seth https://twitter.com/sethjuarezFollow Spyros https://www.linkedin.com/in/smarketos/Follow Davide https://www.linkedin.com/in/davidefornelli/Follow Sam https://www.linkedin.com/in/samarendra-panda/ Don't miss new episodes, subscribe to the AI Show https://aka.ms/AIShowsubscribeAI Show Playlist https://aka.ms/AIShowPlaylist Join us every other Friday, for an AI Show livestream on Learn TV and YouTube https://aka.ms/LearnTV - https://aka.ms/AIShowLive

On this week's show, Seth welcomes grand prize winners of the 2021 OpenCV AI Competition. Satya Mallick from OpenCV is here with Ye Lu and Him Wai (Michael) Ng from Team Cortic Tigers, who will demo their award-winning project - Cortic Edge Platform (CEP) which aims to democratize AI for everyone! Jump to:[00:17] Welcome to the AI Show[01:01] What is the OpenCV AI Competition[03:15] 2021 Grand Prize Winner - Cortic Edge Platform (CEP) - allowing beginners and advanced programmers to start doing rapid AI prototyping[05:21] CEP use cases[10:01] Using Microsoft MakeCode to build CEP[13:34] What's next from OpenCV AI Learn more:OpenCV AI Competition https://opencv.org/opencv-ai-competition-2021/Cortic Technology GitHub repo https://github.com/cortictechnology/cepShop the OAK-D camera https://shop.luxonis.com/products/1098obcenclosure Kickstarter campaign https://www.opencv.org/kickstarter Zero to Hero Machine Learning on Azure https://aka.ms/ZerotoHero/MLonAzureZero to Hero Azure AI https://aka.ms/ZerotoHero/AzureAICreate a Free account (Azure) https://aka.ms/aishow-seth-azurefree Follow Seth https://twitter.com/sethjuarezFollow Satya https://twitter.com/LearnOpenCVFollow Cortic Technology https://twitter.com/CorticTechnolo1Follow Cortic Technology Group https://www.linkedin.com/company/cortic/ Don't miss new episodes, subscribe to the AI Show https://aka.ms/AIShowsubscribeAI Show Playlist https://aka.ms/AIShowPlaylist Join us every other Friday, for an AI Show livestream on Learn TV and YouTube https://aka.ms/LearnTV - https://aka.ms/AIShowLive

Recorded live on September 10, 2021 On this episode of the AI Show, Timm Walz joins Seth to talk about how ramping up your custom NLP tasks with Verseagility will benefit your data science workflow. He'll show us how to use the toolkit in combination with Azure Machine Learning. Be sure to check it out! Jump to:[00:27] Welcome Timm Walz[01:00] What is Verseagility[02:40] What does Verseagility include-standardized template for Infra as code-scripts-project conflicts[04:25] Demo[07:44] More about the data[11:42] Machine Learning tech stack[15:42] Learn more[16:35] Example tickets Learn more:Github Microsoft Verseagility https://github.com/microsoft/verseagilityVerseagility Azure Websites https://verseagility.azurewebsites.net Zero to Hero Machine Learning on Azure https://aka.ms/ZerotoHero/MLonAzureZero to Hero Azure AI https://aka.ms/ZerotoHero/AzureAICreate a Free account (Azure) https://aka.ms/aishow-seth-azurefree Follow Seth https://twitter.com/sethjuarezFollow Timm https://twitter.com/nonstoptimm/ Don't miss new episodes, subscribe to the AI Show https://aka.ms/AIShowsubscribeAI Show Playlist https://aka.ms/AIShowPlaylist Join us every other Friday, for an AI Show livestream on Learn TV and YouTube https://aka.ms/LearnTV - https://aka.ms/AIShowLive

On this episode of the AI Show, Seth welcomes back Lu Zhang! Lu will walk us through how to use the new prebuilt model in Azure Form Recognizer to extract key-value pairs from ID documents like passport and US driver's license, using the REST APIs, SDKs or low-code/no-code in AI Builder. Jump to:[00:17] Seth welcomes Lu Zhang[00:29] What is Form Recognizer?[01:17] What Form Recognizer does for ID documents?[01:52] What is an ID Doc?[02:53] How it works[03:45] What is FOTT?[04:40] Demo[09:10] How to do this in a low code, no code way[09:42] What is AI Builder?[10:21] ID flow Demo[11:47] Where to go to learn more Learn more:Azure Form Recognizer Get Started https://aka.ms/AIShow/FormRecognizer/Get-StartedForm Recognizer Client Library SDKs https://aka.ms/AIShow/FormRecognizer/ClientLibrarySDKs Form Recognizer API doc https://aka.ms/AIShow/FormRecognizerAPI/DocPrebuilt ID doc https://aka.ms/AIShow/PrebuiltID/Doc Zero to Hero Machine Learning on Azure https://aka.ms/ZerotoHero/MLonAzureZero to Hero Azure AI https://aka.ms/ZerotoHero/AzureAICreate a Free account (Azure) https://aka.ms/aishow-seth-azurefreeFollow Seth https://twitter.com/sethjuarezFollow Lu Lu Zhang | LinkedIn AI Show Playlist https://aka.ms/AIShowPlaylistDon't miss new episodes, subscribe to the AI Show https://aka.ms/AIShowsubscribeJoin us every other Friday, for an AI Show livestream on Learn TV and YouTube https://aka.ms/LearnTV - https://aka.ms/AIShowLive

Join Seth as he welcomes Shivani Santosh Sambare to talk about Prebuilt Docker Images for Inference in Azure Machine Learning. Jump to: [00:17] Show begins[00:29] Welcome Shivani[00:38] What are the challenges working with ML environments?[01:11] Solutions to ML challenges/environments = Prebuilt Docker Images for Inference[02:12] How do I make this work with other specialized environments?[04:10] Demo: Deploying PyTorch model using Azure ML[04:30] Scoring script [06:50] End demo & recap[09:06] Learn more Learn more:Concept Prebuilt Docker Images: https://aka.ms/AIShow/PrebuiltDockerImages/AzureML/Doc Python Extensibility Solution: https://aka.ms/AIShow/PrebuiltDockerImages/PythonExtSolution Blog post: https://aka.ms/AIShow/PrebuiltDockerImages/TechComm/Blog Zero to Hero Machine Learning on Azure https://aka.ms/ZerotoHero/MLonAzureZero to Hero Azure AI https://aka.ms/ZerotoHero/AzureAICreate a Free account (Azure) https://aka.ms/aishow-seth-azurefreeAzure Machine Learning https://aka.ms/AIShow/AzureML Follow Seth https://twitter.com/sethjuarezAI Show Playlist https://aka.ms/AIShowPlaylist Don't miss new episodes, subscribe to the AI Show https://aka.ms/AIShowsubscribe