Podcasts about cognitive services

This episode and source describes six distinct forms of AI memory, explaining how these systems retain and utilise information in ways analogous to human cognition. It outlines temporary forms like short-term memory for current interactions and working memory for processing ongoing tasks. More persistent types include long-term memory which stores user preferences and learned behaviours, and episodic memory for recalling specific past events and contexts. Finally, the text mentions semantic memory for factual knowledge and procedural memory for automating repeated actions, highlighting the diverse ways AI stores and accesses data.

This episode discusses Microsoft's major AI announcements from Build 2025, highlighting a shift towards an agentic future where AI operates autonomously. Key reveals include the GitHub Copilot coding agent that acts as an automated team member, advancements in Windows AI strategy with native agent support and a new AI development platform, and the introduction of Microsoft 365 Copilot Tuning for businesses to customise AI with their own data. Updates to Azure AI Foundry provide enhanced tools for developers to build and manage AI agents and applications, and the new Microsoft Discovery platform aims to revolutionise scientific research using AI. Finally, Microsoft's CTO Kevin Scott emphasized the company's commitment to an open AI ecosystem through support for open protocols.

Generative AI in 2016? Get an early look and how the AI/ML industry was back when data science was evolving into what we see today! Future directions in Generative #AI. This episode features Martin Musiol, founder of GenerativeAI.net, as he discusses the evolution and impact of generative AI on various industries. The conversation spans Martin's career journey, from his early days in data science to the founding of GenerativeAI.net and its mission to educate and implement generative AI solutions. Key topics include the differences between traditional AI/ML and generative AI, practical applications, challenges and opportunities in the field, and the future of artificial general intelligence (AGI). GenerativeAI.net was founded in 2018 and focuses on educating and consulting on generative AI technologies. The company offers online courses, a popular newsletter, and consultancy services to help businesses implement AI solutions effectively. Technology and Technology Partners Mentioned: GenerativeAI.net, GANs, Transformer Models, IBM, Infosys Consulting, AI, ML, Data Science, NLP, LSTM, Bird Model, OpenAI, GPT, AGI, Cognitive Services, AI Consultancy, Fleeky AI, RAG System ☑️ Web: https://www.generativeai.net ☑️ Support the Channel: https://ko-fi.com/gtwgt ☑️ Be on #GTwGT: Contact via Twitter @GTwGTPodcast or visit https://www.gtwgt.com ☑️ Subscribe to YouTube: https://www.youtube.com/@GTwGTPodcast?sub_confirmation=1 ☑️ Subscribe to Spotify: https://open.spotify.com/show/5Y1Fgl4DgGpFd5Z4dHulVX • https://gtwgt.com Web • https://twitter.com/GTwGTPodcast Twitter • https://podcasts.apple.com/us/podcast/id1519439787?mt=2&ls=1 Apple Podcasts ☑️ Music: https://www.bensound.com

Microsoft a de grandes ambitions, notamment avec l'IA comme en témoignent ses investissements massifs dans OpenAI. Et visiblement, ses choix sont payants étant donné que Microsoft trône désormais en première place des entreprises les plus valorisées au monde, dépassant même Apple. Ainsi, dans sa quête perpétuelle d'innovation, l'entreprise vient de présenter Azure AI Speech, montrant toute l'étendue des possibilités offertes par l'IA.Initialement présenté en 2023, l'outil permet aux utilisateurs de créer et d'utiliser leur propre voix d'IA dans les applications Microsoft. Concrètement, si un logiciel que vous utilisez collabore avec la société pour exploiter Azure AI Speech, vous serez alors en mesure de synthétiser votre voix dans celui-ci. Microsoft a d'ailleurs élaboré ses premiers partenariats permettant de démontrer les capacités de son modèle, notamment avec Truecaller, une application américaine qui identifie et bloque les appels indésirables. Concrètement, l'IA répond aux appels qui sont potentiellement des spams. Avec la voix de l'utilisateur, elle interroge l'interlocuteur afin de déterminer s'il s'agit bel et bien d'une conversation indésirable. À noter que l'outil a également été déployé dans Skype, cette fois à des fins de traduction instantanée et en temps réel. Si l'on discute avec une personne qui ne parle pas notre langue, l'IA traduira automatiquement les propos dans la langue de l'interlocuteur, en reproduisant la voix à l'identique.Pour les curieux, Microsoft propose de tester l'outil, mais seulement si vous disposez d'un compte Azure avec une ressource Speech ou Cognitive Services. Je cite, « tous les clients doivent accepter nos politiques d'utilisation, qui exigent notamment le consentement explicite du locuteur d'origine, la divulgation de la nature synthétique du contenu créé et l'interdiction d'usurper l'identité d'une personne ou de tromper les personnes utilisant le service de voix personnelle », détaille la société, consciente du danger que représente un tel système. Au mois d'avril, Microsoft avait présenté une autre IA similaire, permettant de transformer la photo de quelqu'un en vidéo. Si ce type de dispositifs peut s'avérer utile dans de nombreux domaines, ils sont aussi très inquiétants, alors que les experts alertent sur une recrudescence de deepfakes de plus en plus réalistes. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

30 years of innovation, a unique approach to data management with future directions in AI and data analysis and security. This episode features Jimmy Tam, CEO of Peer Software, as he discusses the evolution and innovative solutions of Peer Software in managing and synchronizing data across global enterprises. The conversation spans the company's history, from its founding in 1993 to its current position as a leader in distributed file systems. Key topics include Peer Software's product offerings, their unique approach to data replication, synchronization, and security, and insights into the future of data management and AI integration. Peer Software was founded in 1993 and is Head Quartered in Washington DC Technology and Technology Partners Mentioned: Peer Software, Peer GFS, Peer Sync, Migration, Peer IQ, PFSA, Microsoft, Microsoft DFS, Microsoft DFSR, Windows File Server, NetApp, Dell EMC, EMC Storage Systems, Nasuni, Nasuni Files, Nasuni Unified Storage, Azure, Azure Blob Storage, AWS, Amazon S3 Object Storage, LapLink, FRS, Malicious Event Detection, Suspicious Activity Detector, AI, ML, Cognitive Services, Gartner ☑️ Web: https://www.peersoftware.com/ ☑️ Crunchbase: https://www.crunchbase.com/organization/peer-software ☑️ Support the Channel: https://ko-fi.com/gtwgt ☑️ Be on #GTwGT: Contact via Twitter @GTwGTPodcast or visit https://www.gtwgt.com ☑️ Subscribe to YouTube: https://www.youtube.com/@GTwGTPodcast?sub_confirmation=1 ☑️ Subscribe to Spotify: https://open.spotify.com/show/5Y1Fgl4DgGpFd5Z4dHulVX • https://gtwgt.com Web: • https://twitter.com/GTwGTPodcast Twitter: • https://podcasts.apple.com/us/podcast/id1519439787?mt=2&ls=1Apple Podcasts ☑️ Music: https://www.bensound.com

We're ready for the days to start getting longer as we're coming in hot this Thursday. Join in as we discuss store profitability returning to a normal state, TomTom gets a foot in the door with future auto tech, and how retailers use music to keep you shopping longer this holiday season.Show Notes with links:The first of a new quarterly report from a partnership between buy/sell firm The Presidio Group and NCM that reviews the data of 4400 franchised dealerships, reveals some stark changes in dealership profitability being dubbed “The Great Normalization”The data reveals a significant 19.5% drop in average dealership pretax profits through Q3 of 2023. A steep decline in gross profit per new vehicle, at 26%Dealership profitability is returning to more traditional patterns following unusually high profits during the COVID-19 pandemic, notes Presidio President George Karolis.George Karolis commented, “I think it gives a really good barometer and a different perspective to folks interested in following the industry.”NADA stopped releasing this data in 2021 its average dealership financial profile data, and this is the first time it has been available sinceAlso notable, F&I income is down 8.1% to $1,587 / per unitYou can get the report by going to the company's site or clicking this link in the show notesGPS company TomTom is collaborating with Microsoft to introduce a sophisticated AI-powered conversational assistant in automobiles, enhancing voice interactions for navigation and vehicle control.The assistant is built on OpenAI's large language models and Microsoft's Azure Cosmos DB and Cognitive Services, promising high capabilities.This technology will be integrated into TomTom's Digital Cockpit and various automobile manufacturers' interfaces, with the auto companies maintaining their brand identity.TomTom has not yet disclosed specific partnerships with vehicle manufacturers, but the technology's versatility suggests widespread adoption potentialAs the holiday shopping season is reaching its peak, you probably have noticed the increase in music being played in retail stores. This isn't new, but there is a lot to learn about how  the strategic deployment of music in the shopping experience influences purchasingSpecialists like Audiosocket and Jukeboxy emphasize the psychological impact of music on shopping behavior, suggesting that uplifting holiday music can encourage longer store visits and increased browsing.According to Magnus Rydén of Soundtrack Your Brand, creating a brand sound involves aligning music with the brand's identity, values, and customer demographics.Hosts: Paul J Daly and Kyle MountsierGet the Daily Push Back email at https://www.asotu.com/ JOIN the conversation on LinkedIn at: https://www.linkedin.com/company/asotu/ Read our most recent email at: https://www.asotu.com/media/push-back-email ASOTU Instagram: https://www.instagram.com/automotivestateoftheunion

In episode 164 of our SAP on Azure video podcast we talk about SAP Master Data updates from Teams. In previous episodes we had talked about Teams, leveraging AI services for a better chatbot experience and talked about how this could be connected to an SAP system. We even showed some demos -- but it was just that: proof of concepts! Today we have a very special guest: Steve Curtis from Mars. He has build an MDM Chatbot in Teams that allows mass updates to Master Data in SAP MDG using MS Teams -- which is actually live and running for some time now at Mars. Find all the links mentioned here: https://www.saponazurepodcast.de/episode164 Reach out to us for any feedback / questions: * Robert Boban: https://www.linkedin.com/in/rboban/ * Goran Condric: https://www.linkedin.com/in/gorancondric/ * Holger Bruchelt: https://www.linkedin.com/in/holger-bruchelt/ #Microsoft #SAP #Azure #SAPonAzure #Teams #AI #MDM #MasterData #MDG #Excel ## Summary created by AI * Introduction of Steve Curtis and his MDM chatbot in Teams: Steve Curtis is an MDM lead at Mars who built a chatbot in Teams that allows users to update master data in SAP MDG using Excel templates and AI services. * Demo of the chatbot functionality and benefits: The chatbot can handle different scenarios such as creating new customers, updating existing customers, and validating data. It can also provide feedback, email notifications, and error handling. The chatbot reduces the need for tickets, training, and manual intervention, and improves the user experience and data quality. * Technical details and challenges of the chatbot development: The chatbot uses Azure Bot Framework, QnA Maker, LUIS, and Cognitive Services to interact with users and SAP systems. The chatbot faced some challenges such as security, compliance, and data mapping, which were solved by using onedrive, encryption, and lookup tables. * Future plans and enhancements for the chatbot: The chatbot is currently in production for one region and one data domain, but it will be extended to other regions and domains soon. The chatbot will also be improved by adding more intelligence, creativity, and humor to the conversations.

Audio version of video on YouTube. AI pair programming: Build a product inventory app with GitHub, Copilot, and Teams Toolkit Microsoft Research Gorilla LLM Beats GPT-4 in API Call Accuracy and Flexibility GORILLA AI: Meet the First Genuine Proximate AGI (By Microsoft) Power Automate – Write me a flow Cognitive Services and Applied AI are Now ‘Azure AI Services' Save costs and drive efficiency with next-generation AI on the frontline with Microsoft Teams Subscribe to all my videos at: https://thoughtstuff.co.uk/video Podcast: https://thoughtstuff.co.uk/itunes, https://thoughtstuff.co.uk/spotify or https://thoughtstuff.co.uk/podcast Blog: https://blog.thoughtstuff.co.uk  

Chris Seferlis joins me in the virtual studio to discuss the new book he coauthored:Practical Guide to Azure Cognitive Services: Leverage the power of Azure OpenAI to optimize operations, reduce costs, and deliver cutting-edge AI solutionsYou can get the book on Amazon Here:  https://aka.s4nets.cloud/CSBOOK2023This insightful release goes into areas like barriers to entry, cost control, AI for manufacturing and logistics, and much more.Comment on Twitter or LinkedIn and tell us which area you want to see a deep dive!Stalk Chris online at the following outlets:Follow Chris's YouTube channel HERE!Chris is on Twitter HERE!Follow Michael AskinsYouTubeTwitterLinkedInWe want to thank our anchor sponsor, solutions4networks, which makes this show possible!  Visit s4nets to gain insight and information on services like Network Security, Cloud Security, Unified Communications and Collaboration, Datacenter Technologies, and Microsoft Cloud Technologies.Produced by Michael Askins and MA-ITPRO

Nell'arco dell'ultimo anno, nei Cognitive Services sono state introdotte della funzionalità davvero interessanti, e ve ne voglio parlare in questa puntata.https://azure.microsoft.com/en-us/products/cognitive-services/https://aidemos.microsoft.com/https://portal.vision.cognitive.azure.com/https://learn.microsoft.com/en-us/azure/cognitive-services/language-service/whats-newhttps://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/whats-new

Denna vecka är det en ära att välkomna Peter Drougge till Microsoft Partner Podden, en veteran inom Microsoft och inte minst en mycket god vän! Vi pratar om teknik, ai, utveckling och inte minst vad som händer på MTC (Microsoft Technology Center) nuförtiden. Vi diskuterar AI, MLOps, containers, hosting och tar även upp hur Cognitive Services kommit lite i skymundan jämfört med OpenAI och ChatGPT, Peter passar även på att förutspå Co-Pilot, något som inte var verklighet när vi spelade in detta avsnitt men oj så rätt han hade! Hosted on Acast. See acast.com/privacy for more information.

Alan and Sam discuss the functionality provided by Azure Cognitive Services, a group of AI powered cognitive solutions that can rapidly add advanced cognitive functionality to your applications and services, build on top of advanced pre trained models to accelerate your products abilities. What did you think of this episode? Give us some feedback via our contact form, Or leave us a voice message in the bottom right corner of our site.Read transcript

Davide Mauri joins Scott Hanselman to discuss a recently announced feature of Azure SQL DB that makes integration with REST APIs incredibly easy. A new system function enables Azure SQL DB to call any HTTP REST API securely: call an Azure Function, send a message to Event Hub, execute a DAX query in Power BI, enrich data with Cognitive Services, etc. Chapters 00:00 - Introduction 02:15 - Background discussion 06:21 - Demo 1: Calling an Azure Function 10:02 - Demo 2: Query a GraphQL service 12:05 - Demo 3: Update a page in real time with SignalR 15:05 - Demo 4: Power BI executeQueries 17:20 - Demo 5: Event Hub 19:05 - Wrap-up 19:41 - Bonus demo: Cognitive Services Recommended resources sp_invoke_external_rest_endpoint (Transact-SQL) (Preview) Azure-Samples/azure-sql-db-invoke-external-rest-endpoints Azure SQL Database Create a Pay-as-You-Go account (Azure) Create a free account (Azure) Connect Scott Hanselman | Twitter: @SHanselman Davide Mauri | Twitter: @MauriDB Azure SQL | Twitter: @AzureSQL Azure Friday | Twitter: @AzureFriday Azure | Twitter: @Azure

Davide Mauri joins Scott Hanselman to discuss a recently announced feature of Azure SQL DB that makes integration with REST APIs incredibly easy. A new system function enables Azure SQL DB to call any HTTP REST API securely: call an Azure Function, send a message to Event Hub, execute a DAX query in Power BI, enrich data with Cognitive Services, etc. Chapters 00:00 - Introduction 02:15 - Background discussion 06:21 - Demo 1: Calling an Azure Function 10:02 - Demo 2: Query a GraphQL service 12:05 - Demo 3: Update a page in real time with SignalR 15:05 - Demo 4: Power BI executeQueries 17:20 - Demo 5: Event Hub 19:05 - Wrap-up 19:41 - Bonus demo: Cognitive Services Recommended resources sp_invoke_external_rest_endpoint (Transact-SQL) (Preview) Azure-Samples/azure-sql-db-invoke-external-rest-endpoints Azure SQL Database Create a Pay-as-You-Go account (Azure) Create a free account (Azure) Connect Scott Hanselman | Twitter: @SHanselman Davide Mauri | Twitter: @MauriDB Azure SQL | Twitter: @AzureSQL Azure Friday | Twitter: @AzureFriday Azure | Twitter: @Azure

Davide Mauri joins Scott Hanselman to discuss a recently announced feature of Azure SQL DB that makes integration with REST APIs incredibly easy. A new system function enables Azure SQL DB to call any HTTP REST API securely: call an Azure Function, send a message to Event Hub, execute a DAX query in Power BI, enrich data with Cognitive Services, etc. Chapters 00:00 - Introduction 02:15 - Background discussion 06:21 - Demo 1: Calling an Azure Function 10:02 - Demo 2: Query a GraphQL service 12:05 - Demo 3: Update a page in real time with SignalR 15:05 - Demo 4: Power BI executeQueries 17:20 - Demo 5: Event Hub 19:05 - Wrap-up 19:41 - Bonus demo: Cognitive Services Recommended resources sp_invoke_external_rest_endpoint (Transact-SQL) (Preview) Azure-Samples/azure-sql-db-invoke-external-rest-endpoints Azure SQL Database Create a Pay-as-You-Go account (Azure) Create a free account (Azure) Connect Scott Hanselman | Twitter: @SHanselman Davide Mauri | Twitter: @MauriDB Azure SQL | Twitter: @AzureSQL Azure Friday | Twitter: @AzureFriday Azure | Twitter: @Azure

Davide Mauri joins Scott Hanselman to discuss a recently announced feature of Azure SQL DB that makes integration with REST APIs incredibly easy. A new system function enables Azure SQL DB to call any HTTP REST API securely: call an Azure Function, send a message to Event Hub, execute a DAX query in Power BI, enrich data with Cognitive Services, etc. Chapters 00:00 - Introduction 02:15 - Background discussion 06:21 - Demo 1: Calling an Azure Function 10:02 - Demo 2: Query a GraphQL service 12:05 - Demo 3: Update a page in real time with SignalR 15:05 - Demo 4: Power BI executeQueries 17:20 - Demo 5: Event Hub 19:05 - Wrap-up 19:41 - Bonus demo: Cognitive Services Recommended resources sp_invoke_external_rest_endpoint (Transact-SQL) (Preview) Azure-Samples/azure-sql-db-invoke-external-rest-endpoints Azure SQL Database Create a Pay-as-You-Go account (Azure) Create a free account (Azure) Connect Scott Hanselman | Twitter: @SHanselman Davide Mauri | Twitter: @MauriDB Azure SQL | Twitter: @AzureSQL Azure Friday | Twitter: @AzureFriday Azure | Twitter: @Azure

How are Azure and AWS Billing different? Richard chats with Corey Quinn of Screaming in the Cloud about his experiences experimenting with all the other clouds. Corey talks about his concerns around the security issues with Azure this past year - not the problems themselves, but how Microsoft handled them. The conversation also digs into using Cognitive Services and being unsure what things will cost until the end of the month. What about GCP and Oracle as well? Corey has tried them all and has thoughts!Links:Last Week in AWSCognitive Services Computer VisionRecorded October 26, 2022

Remember: you can also always follow the show on Twitter @dotnetcoreshow, and the shows host on Twitter @podcasterJay or visit our Contact page. Welcome to season 5 of the award-winning .NET Core Podcast! Check that link for proof. Hello everyone and welcome to The .NET Core Podcast is a podcast where we reach into the core of the .NET technology stack and, with the help of the .NET community, present you with the information that you need in order to grok the many moving parts of one of the biggest cross-platform, multi-application frameworks on the planet. I am your host, Jamie "GaProgMan" Taylor. In this episode, I talked with Nick Proud about the work he has been doing with Robotic Process Automation and document processing with Azure Congitive services. Although there are tonnes of services, libraries, and solutions for reading through and programmatically reasoning about a corpus of documents, the Azure Cognitive Services Form Recogniser seemed to fit both the problem and the solution that Nick was working on. Along the way, we talked about how RPA is a reduction in toil or busywork for people which allows them to focus on the task at hand, we talked about our own personal definitions of the term "full stack developer", and we talked about how important it is to look at a number of possible supporting libraries and services when approaching a new problem - rather than attempting to shoehorn a library or service into your solution just because you are familiar with it. Sometimes we developers have to step outside of our comfort zones and attack a problem in a unique way, and that's one of the key takeaways from this episode. The full show notes, including links to some of the things we discussed and a full transcription of this episode, can be found at https://dotnetcore.show/episode-109-ocr-and-cognitive-services-with-nick-proud   Useful Links from the episode: Nick on twitter Nick's blog Nick's YouTube channel Nick on LinkedIn Azure Form Recognizer Remember to rate and review the show on Apple Podcasts, Podchaser, or wherever you find your podcasts, this will help the show's audience grow. Or you can just share the show with a friend. And don't forget to reach out via our Contact page. We're very interested in your opinions of the show, so please do get in touch. You can support the show by making a monthly donation on the show's Patreon page at: https://www.patreon.com/TheDotNetCorePodcast

Tom Lawry serves as National Director of AI for Health & Life Sciences at Microsoft and previously served as Director of Worldwide Health. Tom works with providers, payors and life science organizations in planning & implementing innovative solutions that improve the quality and efficiency of health services delivered around the globe. Tom focuses on strategies for digital transformation applied to performance optimization including Artificial Intelligence (AI), Machine Learning (ML) and Cognitive Services. He previously served as Director of Organizational Performance for Microsoft's health incubator (Health Solutions Group). Prior to Microsoft Tom served as a Senior Director at GE Healthcare with global responsibilities for revenue cycle analytics and operational performance solutions. Lawry was founder and CEO of Verus, a healthcare software company named as one of the Top 100 Fastest Growing Washington Companies for three consecutive years and to the Deloitte Fast 500 Technologies list. For twelve years Lawry served in various executive management roles in hospitals and integrated delivery networks. He has published numerous articles on using technology to innovate healthcare. His last book, Artificial Intelligence in Healthcare: A Leader's Guide to Winning in the New Age of Intelligent Health Systems, was a HIMSS 2020 Bestseller. His new book is Hacking Healthcare – How AI and the Intelligence Revolution will Reboot an Ailing System (Coming in July 2022 from Taylor & Francis Publishing). Link to claim CME credit: https://www.surveymonkey.com/r/3DXCFW3 (https://www.surveymonkey.com/r/3DXCFW3) CME credit is available for up to 3 years after the stated release date Contact CEOD@bmhcc.org if you have any questions about claiming credit.

How can you begin to integrate AI models into your environment without spending months building everything out? As we continue our march to Episode 256, we bring back our friend Sam Nasr to talk about Azure Cognitive Services. Sam walks us through a few examples of how he was able to leverage some pre-packaged voice recognition services to assist customers get to the proper area for service. We discuss scenarios where Azure Cognitive Services really shines and where you may have to develop more custom solutions or look for extensions. If you are using Azure Cognitive Services, let us know your experience! The show notes and video for this episode can be found at https://sqldatapartners.com/2022/08/10/episode-251-azure-cognitive-services. Have fun on the SQL Trail!

Building Policy Update: As of June 1, 2022, masks remain required at Town Hall Seattle. Read our current COVID-19 policies and in-building safety protocols. Thu 7/14, 2022, 7:30pm Blaise Agüera y Arcas and Melanie Mitchell with Lili Cheng How Close Are We to AI? BUY THE BOOKS   Ubi SuntBy Blaise Agüera y Arcas   Artificial Intelligence: A Guide for Thinking HumansBy Melanie Mitchell     Artificial Intelligence (AI), a term first coined at a Dartmouth workshop in 1956, has seen several boom and bust cycles over the last 66 years. Is the current boom different? The most exciting advance in the field since 2017 has been the development of “Large Language Models,” giant neural networks trained on massive databases of text on the web. Still highly experimental, Large Language Models haven't yet been deployed at scale in any consumer product — smart/voice assistants like Alexa, Siri, Cortana, or the Google Assistant are still based on earlier, more scripted approaches. Large Language Models do far better at routine tasks involving language processing than their predecessors. Although not always reliable, they can give a strong impression of really understanding us and holding up their end of an open-ended dialog. Unlike previous forms of AI, which could only perform specific jobs involving rote perception, classification, or judgment, Large Language Models seem to be capable of a lot more — including possibly passing the Turing Test, named after computing pioneer Alan Turing's thought experiment that posits when an AI in a chat can't be distinguished reliably from a human, it will have achieved general intelligence. But can Large Language Models really understand anything, or are they just mimicking the superficial “form” of language? What can we say about our progress toward creating real intelligence in a machine? What do “intelligence” and “understanding” even mean? Blaise Agüera y Arcas, a Fellow at Google Research, and Melanie Mitchell, the Davis Professor of Complexity at the Santa Fe Institute, take on these thorny questions in a wide-ranging presentation and discussion. The discussion will be moderated by Lili Cheng, Corporate Vice President of the Microsoft AI and Research division. Blaise Agüera y Arcas is a VP and Fellow at Google Research, where he leads an organization working on basic research and new products in Artificial Intelligence. His team focuses on the intersection of machine learning and devices, developing AI that augments humanity while preserving privacy. One of the team's technical contributions is Federated Learning, an approach to training neural networks in a distributed setting that avoids sending user data off-device. Blaise also founded Google's Artists and Machine Intelligence program and has been an active participant in cross-disciplinary dialogs about AI and ethics, fairness and bias, policy, and risk. He has given TED talks on Sead­ragon and Pho­to­synth (2007, 2012), Bing Maps (2010), and machine creativity (2016). In 2008, he was awarded MIT's TR35 prize. Melanie Mitchell is the Davis Professor at the Santa Fe Institute. Her current research focuses on conceptual abstraction, analogy-making, and visual recognition in artificial intelligence systems.  Melanie is the author or editor of six books and numerous scholarly papers in the fields of artificial intelligence, cognitive science, and complex systems. Her book Complexity: A Guided Tour won the 2010 Phi Beta Kappa Science Book Award and was named by Amazon.com as one of the ten best science books of 2009. Her latest book is Artificial Intelligence: A Guide for Thinking Humans. Lili Cheng is a Corporate Vice President of the Microsoft AI and Research division, responsible for the AI developer platform which includes Cognitive Services and Bot Framework. Prior to Microsoft, Lili worked in Apple Computer's Advanced Technology Group on the user interface research team where she focused on QuickTime Conferencing and QuickTime VR. Lili is also a registered architect, having worked in Tokyo and Los Angeles for Nihon Sekkei and Skidmore Owings and Merrill on commercial urban design and large-scale building projects. She has also taught at New York University and Harvard University. Ubi SuntBy Blaise Agüera y Arcas    Artificial Intelligence: A Guide for Thinking HumansBy Melanie Mitchell   Presented by Town Hall Seattle. To become a member or make a donation click here.

Henk Boelman joins Scott Hanselman to discuss how AI can help to create more accessible experiences with Azure Machine Learning, Azure Cognitive Services, and Azure Media Services. They will look at the AI building blocks available in Azure and see how these building blocks can be applied. Chapters 00:00 - Introduction 03:32 - Henk's demo environment using Jupyter notebooks 05:28 - Computer Vision demo 10:42 - Custom Vision demo 16:59 - Face demo 20:20 - Handwriting example 20:59 - Text to speech example 22:38 - Bonus demo: Accessible stream with Azure Media Services 26:42 - Wrap-up Recommended resources hnky / azure-friday Computer Vision documentation Custom Vision documentation Face documentation Tech A11y Summit Connect Scott Hanselman | Twitter: @SHanselman Henk Boelman | Twitter: @HBoelman Azure Friday | Twitter: @AzureFriday

Henk Boelman joins Scott Hanselman to discuss how AI can help to create more accessible experiences with Azure Machine Learning, Azure Cognitive Services, and Azure Media Services. They will look at the AI building blocks available in Azure and see how these building blocks can be applied. Chapters 00:00 - Introduction 03:32 - Henk's demo environment using Jupyter notebooks 05:28 - Computer Vision demo 10:42 - Custom Vision demo 16:59 - Face demo 20:20 - Handwriting example 20:59 - Text to speech example 22:38 - Bonus demo: Accessible stream with Azure Media Services 26:42 - Wrap-up Recommended resources hnky / azure-friday Computer Vision documentation Custom Vision documentation Face documentation Tech A11y Summit Connect Scott Hanselman | Twitter: @SHanselman Henk Boelman | Twitter: @HBoelman Azure Friday | Twitter: @AzureFriday

Henk Boelman joins Scott Hanselman to discuss how AI can help to create more accessible experiences with Azure Machine Learning, Azure Cognitive Services, and Azure Media Services. They will look at the AI building blocks available in Azure and see how these building blocks can be applied. Chapters 00:00 - Introduction 03:32 - Henk's demo environment using Jupyter notebooks 05:28 - Computer Vision demo 10:42 - Custom Vision demo 16:59 - Face demo 20:20 - Handwriting example 20:59 - Text to speech example 22:38 - Bonus demo: Accessible stream with Azure Media Services 26:42 - Wrap-up Recommended resources hnky / azure-friday Computer Vision documentation Custom Vision documentation Face documentation Tech A11y Summit Connect Scott Hanselman | Twitter: @SHanselman Henk Boelman | Twitter: @HBoelman Azure Friday | Twitter: @AzureFriday

Henk Boelman joins Scott Hanselman to discuss how AI can help to create more accessible experiences with Azure Machine Learning, Azure Cognitive Services, and Azure Media Services. They will look at the AI building blocks available in Azure and see how these building blocks can be applied. Chapters 00:00 - Introduction 03:32 - Henk's demo environment using Jupyter notebooks 05:28 - Computer Vision demo 10:42 - Custom Vision demo 16:59 - Face demo 20:20 - Handwriting example 20:59 - Text to speech example 22:38 - Bonus demo: Accessible stream with Azure Media Services 26:42 - Wrap-up Recommended resources hnky / azure-friday Computer Vision documentation Custom Vision documentation Face documentation Tech A11y Summit Connect Scott Hanselman | Twitter: @SHanselman Henk Boelman | Twitter: @HBoelman Azure Friday | Twitter: @AzureFriday

In this week's episode of the Future Construct Podcast (30 min interview), we are excited to feature Adeniyi Ogunsua (@kogunsua), Senior Director and Industry Digital Strategist at Microsoft (@microsoft), and your host Amy Peck (@AmyPeckXR). In his role, Adeniyi helps design and create the intelligent future by igniting and enabling innovation via strategic partnership, industry-transforming initiatives, and innovative market platforms that leverage intelligent clouds. He leads teams to design and build the future of organizations facing Digital Transformation and transitioning to the Cloud. Lately, his focus has been on Sustainability (ESG) programs, Embedded Finance, RegTech, AI (Intelligent Bots, Cognitive Services, ML), Intelligent Buildings/Cities/Infrastructure (Digital Twins, IoT, Analytics), and Mixed Reality (HoloLens) for customers using 3 Horizons (core, emerging, disruptive business) growth model.In addition to his role at Microsoft, Adeniyi has attained extensive Big Four consulting and Fortune 500 experience within the financial services, healthcare, AEC, and retail industries. He holds PMP, CISA, and CSM designations. He has also received two Circle of Excellence awards for innovative sales and service Mobile applications that increase revenue and interest profit, improves customer loyalty, and increases customer acquisitions.At Microsoft, the mission is to empower every person and every organization on the planet to achieve more. Microsoft enables digital transformation for the era of an intelligent cloud and an intelligent edge. Microsoft operates in 190 countries and is made up of 181,000 passionate employees worldwide.Highlights of Adeniyi's interview with host Amy Peck (@AmyPeckXR) include:- His suggested strategies to companies to help them overcome fear as an organization in the adoption of new technology- His key tactics, including BIM, that companies can utilize to make their buildings more responsive- Overcoming the economics and expense involved with introducing and integrating new technology- Exciting new developments in the world of technology and his ideal product for the future0:12  - Amy Peck introduces Adeniyi Ogunsua, Senior Director and Industry Digital Strategist at Microsoft.02:32  - The future is upon us and coming at us pretty quickly. When you're working with companies, what are some of the strategies that you're talking to them about? Are you find some fear and reticence for the level of change that needs to occur in companies these days?8:07  - So I love when you talked about responsive buildings. What are some of the tactics that companies can use? Not all companies are utilizing BIM. What are some of the strategies and how do we make this a standard?11:27  - As an owner or large construction company, or even an architecture firm, all of these industry innovations sound perfectly logical and extremely expensive. So what are some of the economics, with introducing new technology, to convince owners and construction companies to embrace technology?16:41  - Talking about some strategies that companies can leverage to really improve the output of their building, what are some of the things that you're seeing that are really exciting in the world of technology? 26:46  - If you could project yourself 20 years into the future, and if you could have any product or service or gadget or thing, that for you, would make your life better or make you personally happy, what would it be and what would it do?

This week, Sam Nasr returns to the show. Sam is an IT Consultant specializing in .Net, SQL Server, and Azure. He is a Sr. Software Engineer focused on the Microsoft stack of technologies including .Net, SQL Server, Azure. As part of NIS Technologies, he provides consulting services, training, and custom app development to bring more value to business applications. Sam is also a leader at the Cleveland C#/VB .Net user group.   Topics of Discussion: [2:37] Sam talks about getting inspiration from a video featuring Saquib Shaikh, a blind software engineer at Microsoft that developed services that helped him get by day-to-day, which was made public. It was a moving video and it got him into cognitive services, and he started diving more into AI and ML from that point. [4:10] How are AI and machine learning similar? How are they different? [4:15] Do you have to use the Azure services? [6:27] What are some of Sam's favorite AI or ML products? [8:03] With Azure Cognitive Services, it's a variety of different services. There are some for language, some for speech, some for vision, and decision-making. [10:19] How do we go from a microphone to a text string? Does that happen on the end device, or do we send the file to Azure? [15:10] What is the testing method for this type of application? [18:09] How does this relate to bot framework? [24:28] What applications does it tend to work best on? [26:50] What does it look like to deploy a new release candidate from environment to environment and then to production? What is the promotion process of an application like this? [30:39] You need to have a good representation of your data. It's got to be clean and then trained on an appropriate number of records.   Mentioned in this Episode: Architect Tips — New video podcast! Azure DevOps Clear Measure (Sponsor) .NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo — Available on Amazon! Jeffrey Palermo's YouTube Jeffrey Palermo's Twitter — Follow to stay informed about future events!   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.   Sam Naser: GitHub projects YouTube Presentations samnasr@live.com   Overview of Cognitive Services:  “Adding Machine Learning to .Net Applications” youtube.com/watch?v=dMHlbZvISUI Build 2016 AI Video

Dr. Jerry Smith welcomes you to another episode of AI Live and Unbiased to explore the breadth and depth of Artificial Intelligence and to encourage you to change the world, not just observe it!   Dr. Jerry is talking today about Cognitive Services, which is the second part of the evolutionary optimized digital surrogate-based predictions causal AI-driven digital transformation life cycle. Listen to this episode to find what Cognitive Services are, why they are important to businesses, how to identify four key cognitive attributes to your services, and three of the most important services you should start using today.   Key Takeaways: Before starting with today's cognitive services, Dr. Jerry goes back a few years to lead us to where we are now. In 2016, cognitive services started, but a lot of them were just promises that did not bring economic value. Cognitive services missed the connection with the business side, but causality changed that. What are Cognitive Services? Cognitive relates to conscious and mental activities. If you are using AI to help you make decisions that relate to your customers, you need to have someone that relates to Cognitive Psychology and understands the psychology of people and the sociology of groups. Examples of cognitive services are Speech and Image recognition, Text to Speech, Speech to Text, and searching through vast amounts of information. What is Cognitive Computing and what are some of its benefits? Cognitive computing is the use of computerized cognitive models to simulate human thought processes. One benefit of cognitive computing is that it performs well in complex situations where answers and data are ambiguous and uncertain. What constitutes cognitive computer systems? Four primary characteristics: Cognitive computer systems have to be highly adaptive, they have to be flexible enough to learn as information changes. Cognitive computer systems have to be interactive. Iterative and stateful. Cognitive computer technology can identify problems by asking questions if the state of the problem is vague or incomplete. Cognitive computer systems have to be contextual since understanding the context is probably the most critical process in the causal AI digital transformation cycle. Cognitive computing is not AI; it uses AI and AI uses cognitive computing. Cognitive computing is used when you are dealing with human characteristics in industries like health care and services. Cognitive computing is more about being human than being a machine. What is data science? Data science is the process of studying data, you always get value out of it. Machine learning learns the characteristics of the data in different variables in order to make predictions. AI is all about making decisions based on the machine learning models and the predictions of tomorrow and asking what are we going to be doing tomorrow as a consequence of that. What are some of the top cognitive services today? Computer vision: consists of pulling out actual information from images. Emotion: Analyzing faces and bodies to detect emotional ranges of mood. Face: Identify similar faces. Content moderation is automatically moderating text, images, or videos, and has profound importance to our society. Why are cognitive services important? Cognitive services allow us to drive behavioral insights from data. Data has no intrinsic value; the value of data comes in how we process it, how we look at it, and what questions we ask (which are very subjective and will give different outcomes). Behavior, behavior, behavior.   Stay Connected with AI Live and Unbiased: Visit our website AgileThought.com Email your thoughts or suggestions to Podcast@AgileThought.com or Tweet @AgileThought using #AgileThoughtPodcast!   Learn more about Dr. Jerry Smith

The first podcast episode of 2022! Jon and Susanne talk with Scott Bounds on how cloud technologies are transforming M&E areas like sports betting, video production, and fan engagement, and how these innovations can offer unique opportunities to professional sports teams and leagues. Scott Bounds is a Sr. Director of Customer Success at Microsoft, guiding customers on their business transformation to the cloud. Bounds focuses on content creation and production workflows, asset management, and using Microsoft AI and Cognitive Services for Media and Sports. He is a 27-year veteran of Microsoft, spending over 10 years in the Media and Sports industries in a variety of management and technical roles.

We talk to our very own Cale Teeter about the current state of Blockchain technology and how it is changing the way we deploy these networks in Azure and build applications.   Media file: https://azpodcast.blob.core.windows.net/episodes/Episode399.mp3 YouTube: https://youtu.be/_biNB9p5_Fw Resources: Migration announcement to QBS -> https://azure.microsoft.com/en-us/updates/action-required-migrate-your-azure-blockchain-service-data-by-10-september-2021/ QBS Preview -> https://consensys.net/quorum/qbs/ Quickstart for Developers -> https://consensys.net/quorum/developers/ NFT sidechain -> https://docs.palm.io/ Azure SQL Ledger -> https://docs.microsoft.com/en-us/azure/azure-sql/database/ledger-overview Confidential Consortium Framework -> https://microsoft.github.io/CCF/main/overview/concepts.html   Other updates: SpaceCows – using AI, space technology and cloud to protect the Top End – Microsoft Australia News Centre   Computer Vision Read API for Optical Character Recognition (OCR), part of Cognitive Services, announces its public preview with new languages including Russian, Bulgarian, other Cyrillic and more Latin languages. This release also highlight handwritten OCR support for many languages, along with enhancements for digital PDFs and Machine Readable Zone (MRZ) text in identity documents.   Join us on Azure IaaS Day: Learn to increase agility and resiliency of your infrastructure https://azure.microsoft.com/en-us/blog/join-us-on-azure-iaas-day-learn-to-increase-agility-and-resiliency-of-your-infrastructure/ 5 reasons to join the Modernize Apps and Data with Azure and Power Apps free virtual event https://azure.microsoft.com/en-us/blog/5-reasons-to-join-the-modernize-apps-and-data-with-azure-and-power-apps-free-virtual-event/   The Enclave Device Blueprint for confidential computing at the edge https://azure.microsoft.com/en-us/blog/the-enclave-device-blueprint-for-confidential-computing-at-the-edge/   Public preview: Azure Spring Cloud RBAC config server and registry access and Nginx logs and metrics | Azure updates | Microsoft Azure General availability: Azure Spring Cloud application health monitoring and end-to-end TLS/SSL | Azure updates | Microsoft Azure Public preview: Visual Studio Code for the Web | Azure updates | Microsoft Azure

Paul DeCarlo shows Scott Hanselman how Azure IoT Edge enables you to deploy cloud intelligence locally on edge devices.  By moving certain workloads to the edge of your network, your devices spend less time communicating with the cloud, can react more quickly to local changes, and operate reliably even in extended offline periods.  In this example, Paul uses IoT Edge with Cognitive Services Containers to enhance his favorite retro videogames.[0:00:00]– Introduction[0:02:08]– How it all started[0:08:18]– The approach[0:10:17]– The solution[0:12:42]– Demo[0:19:40]– Wrap-upRetro Video Game Translation Tablet with IoT EdgeAzure IoT EdgeWhat is Azure IoT EdgeInstall Read OCR Docker containersRetroArchLakka - The DIY open source retrogaming emulation consoleRetroArch-AI-with-IoTEdge repo on GitHubazure-iot-edge-device-container repo on GitHubIrfanViewCreate a free account (Azure)

Paul DeCarlo shows Scott Hanselman how Azure IoT Edge enables you to deploy cloud intelligence locally on edge devices.  By moving certain workloads to the edge of your network, your devices spend less time communicating with the cloud, can react more quickly to local changes, and operate reliably even in extended offline periods.  In this example, Paul uses IoT Edge with Cognitive Services Containers to enhance his favorite retro videogames.[0:00:00]– Introduction[0:02:08]– How it all started[0:08:18]– The approach[0:10:17]– The solution[0:12:42]– Demo[0:19:40]– Wrap-upRetro Video Game Translation Tablet with IoT EdgeAzure IoT EdgeWhat is Azure IoT EdgeInstall Read OCR Docker containersRetroArchLakka - The DIY open source retrogaming emulation consoleRetroArch-AI-with-IoTEdge repo on GitHubazure-iot-edge-device-container repo on GitHubIrfanViewCreate a free account (Azure)

Paul DeCarlo shows Scott Hanselman how Azure IoT Edge enables you to deploy cloud intelligence locally on edge devices.  By moving certain workloads to the edge of your network, your devices spend less time communicating with the cloud, can react more quickly to local changes, and operate reliably even in extended offline periods.  In this example, Paul uses IoT Edge with Cognitive Services Containers to enhance his favorite retro videogames.[0:00:00]– Introduction[0:02:08]– How it all started[0:08:18]– The approach[0:10:17]– The solution[0:12:42]– Demo[0:19:40]– Wrap-upRetro Video Game Translation Tablet with IoT EdgeAzure IoT EdgeWhat is Azure IoT EdgeInstall Read OCR Docker containersRetroArchLakka - The DIY open source retrogaming emulation consoleRetroArch-AI-with-IoTEdge repo on GitHubazure-iot-edge-device-container repo on GitHubIrfanViewCreate a free account (Azure)

Paul DeCarlo shows Scott Hanselman how Azure IoT Edge enables you to deploy cloud intelligence locally on edge devices.  By moving certain workloads to the edge of your network, your devices spend less time communicating with the cloud, can react more quickly to local changes, and operate reliably even in extended offline periods.  In this example, Paul uses IoT Edge with Cognitive Services Containers to enhance his favorite retro videogames.[0:00:00]– Introduction[0:02:08]– How it all started[0:08:18]– The approach[0:10:17]– The solution[0:12:42]– Demo[0:19:40]– Wrap-upRetro Video Game Translation Tablet with IoT EdgeAzure IoT EdgeWhat is Azure IoT EdgeInstall Read OCR Docker containersRetroArchLakka - The DIY open source retrogaming emulation consoleRetroArch-AI-with-IoTEdge repo on GitHubazure-iot-edge-device-container repo on GitHubIrfanViewCreate a free account (Azure)

I spoke with Margaryta Ostapchuk. She used to be a Technical Evangelist working for Microsoft in Ukraine and then she moved to Canada in 2018 while still working for Microsoft but now as a Software Engineer. I came across Margaryta during an AI Bootcamp back in December 2019, where she was talking about Language Understanding (LUIS) which is one of the Cognitive Services provided by Microsoft. Margaryta talked about how she uses public speaking as an opportunity to help developing both her technical and communication skills. She mentioned about the fact that she used to think everyone in the audience knew more about the subject than her, but she realized that everyone has something to contribute that is valuable to others. Listen to this episode to hear what Margaryta has to say to female coders that is also applicable to everyone of us. Full show notes and links: https://SoloCoder.com/32

Christina Lee joins Scott Hanselman to show what's new in Azure Cognitive Services.  Cognitive Services bring AI within reach of every developer—without requiring machine-learning expertise.  All it takes is an API call to embed the ability to see, hear, speak, search, understand, and accelerate decision-making into your apps.[0:02:00] - DemoAzure Cognitive Services overviewContainer support in Azure Cognitive ServicesEnable receipt understanding with Form Recognizer's new capabilityStart building with Azure Cognitive Services for freeCreate a free account (Azure)

Christina Lee joins Scott Hanselman to show what's new in Azure Cognitive Services.  Cognitive Services bring AI within reach of every developer—without requiring machine-learning expertise.  All it takes is an API call to embed the ability to see, hear, speak, search, understand, and accelerate decision-making into your apps.[0:02:00] - DemoAzure Cognitive Services overviewContainer support in Azure Cognitive ServicesEnable receipt understanding with Form Recognizer's new capabilityStart building with Azure Cognitive Services for freeCreate a free account (Azure)

Christina Lee joins Scott Hanselman to show what's new in Azure Cognitive Services.  Cognitive Services bring AI within reach of every developer—without requiring machine-learning expertise.  All it takes is an API call to embed the ability to see, hear, speak, search, understand, and accelerate decision-making into your apps.[0:02:00] - DemoAzure Cognitive Services overviewContainer support in Azure Cognitive ServicesEnable receipt understanding with Form Recognizer's new capabilityStart building with Azure Cognitive Services for freeCreate a free account (Azure)

Christina Lee joins Scott Hanselman to show what's new in Azure Cognitive Services.  Cognitive Services bring AI within reach of every developer—without requiring machine-learning expertise.  All it takes is an API call to embed the ability to see, hear, speak, search, understand, and accelerate decision-making into your apps.[0:02:00] - DemoAzure Cognitive Services overviewContainer support in Azure Cognitive ServicesEnable receipt understanding with Form Recognizer's new capabilityStart building with Azure Cognitive Services for freeCreate a free account (Azure)

Jacob Jedryszek joins Scott Hanselman to talk about about using Cognitive Services with Azure Search with your mobile and web apps. Skip hiring search experts who know what an inverted index is. Don't worry about distributed systems expertise to scale your service to handle large amount of data. And forget about setting up, owning and managing the infrastructure. Let Azure Search do it all for you.[01:00] Creating a search index[02:37] AzSearch.js - Automagical UI and sample React controls[03:27] Searching the JFK Files[08:00] Adding search to Scott's blogCognitive Search – Azure Search with AI blog postThe JFK Files (microsoft/AzureSearch_JFK_Files repo)AzSearch.js (jj09/AzSearch.js repo) - Automagical UI and sample React controlsAzure Search overviewCreate a free account (Azure)

Jacob Jedryszek joins Scott Hanselman to talk about about using Cognitive Services with Azure Search with your mobile and web apps. Skip hiring search experts who know what an inverted index is. Don't worry about distributed systems expertise to scale your service to handle large amount of data. And forget about setting up, owning and managing the infrastructure. Let Azure Search do it all for you.[01:00] Creating a search index[02:37] AzSearch.js - Automagical UI and sample React controls[03:27] Searching the JFK Files[08:00] Adding search to Scott's blogCognitive Search – Azure Search with AI blog postThe JFK Files (microsoft/AzureSearch_JFK_Files repo)AzSearch.js (jj09/AzSearch.js repo) - Automagical UI and sample React controlsAzure Search overviewCreate a free account (Azure)

Jacob Jedryszek joins Scott Hanselman to talk about about using Cognitive Services with Azure Search with your mobile and web apps. Skip hiring search experts who know what an inverted index is. Don't worry about distributed systems expertise to scale your service to handle large amount of data. And forget about setting up, owning and managing the infrastructure. Let Azure Search do it all for you.[01:00] Creating a search index[02:37] AzSearch.js - Automagical UI and sample React controls[03:27] Searching the JFK Files[08:00] Adding search to Scott's blogCognitive Search – Azure Search with AI blog postThe JFK Files (microsoft/AzureSearch_JFK_Files repo)AzSearch.js (jj09/AzSearch.js repo) - Automagical UI and sample React controlsAzure Search overviewCreate a free account (Azure)

Jacob Jedryszek joins Scott Hanselman to talk about about using Cognitive Services with Azure Search with your mobile and web apps. Skip hiring search experts who know what an inverted index is. Don't worry about distributed systems expertise to scale your service to handle large amount of data. And forget about setting up, owning and managing the infrastructure. Let Azure Search do it all for you.[01:00] Creating a search index[02:37] AzSearch.js - Automagical UI and sample React controls[03:27] Searching the JFK Files[08:00] Adding search to Scott's blogCognitive Search – Azure Search with AI blog postThe JFK Files (microsoft/AzureSearch_JFK_Files repo)AzSearch.js (jj09/AzSearch.js repo) - Automagical UI and sample React controlsAzure Search overviewCreate a free account (Azure)

It's the first full week in May and that can only mean one thing - it's Microsoft //Build time!! Join James and Matt as they recap the highlights and announcements from this year's Build event. As always, get yourself some free Azure here (https://azure.microsoft.com/free/?WT.mc_id=xamarinpodcast61-podcast-masoucou)! Show Notes Build playlist on Xamarin YouTube channel (https://www.youtube.com/playlist?list=PLM75ZaNQS_FaOdwuYHMLpGXV5d83qgBAH) .NET 5 announcement (https://devblogs.microsoft.com/dotnet/introducing-net-5/?WT.mc_id=xamarinpodcast61-podcast-masoucou) Visual Studio App Center Auth (https://docs.microsoft.com/appcenter/auth?WT.mc_id=xamarinpodcast61-podcast-masoucou) Visual Studio App Center Data (https://docs.microsoft.com/appcenter/data?WT.mc_id=xamarinpodcast61-podcast-masoucou) Visual Studio App Center announcements (https://devblogs.microsoft.com/appcenter/visual-studio-app-center-preview-welcoming-auth-and-data-to-the-portfolio?WT.mc_id=xamarinpodcast61-podcast-masoucou) Big-time updates to Cognitive Services (https://azure.microsoft.com/blog/making-ai-real-for-every-developer-and-every-organization?WT.mc_id=xamarinpodcast61-podcast-masoucou) Cognitive Services Personalizer (https://azure.microsoft.com/services/cognitive-services/personalizer/?WT.mc_id=xamarinpodcast61-podcast-masoucou) Cognitive Services Forms Recognizer (https://docs.microsoft.com/azure/cognitive-services/form-recognizer/overview?WT.mc_id=xamarinpodcast61-podcast-masoucou) Cognitive Services on Containers (https://docs.microsoft.com/azure/cognitive-services/cognitive-services-container-support?WT.mc_id=xamarinpodcast61-podcast-masoucou) Visual Studio Online (https://devblogs.microsoft.com/visualstudio/intelligent-productivity-and-collaboration-from-anywhere/?WT.mc_id=xamarinpodcast61-podcast-masoucou) Cloud Shell Editor - VS Code in the Portal! (https://azure.microsoft.com/blog/cloudshelleditor/?WT.mc_id=xamarinpodcast61-podcast-masoucou) Windows Terminal (https://devblogs.microsoft.com/commandline/introducing-windows-terminal/?WT.mc_id=xamarinpodcast61-podcast-masoucou) Xamarin API docs open sourced (https://devblogs.microsoft.com/xamarin/xamarin-api-docs-open-source-available-now/?WT.mc_id=xamarinpodcast61-podcast-masoucou) Xamarin courses on Microsoft Learn - FREE!!! (https://docs.microsoft.com/learn/browse/?term=xamarin&WT.mc_id=xamarinpodcast61-podcast-masoucou) CollectionView Challenge PRs (https://github.com/pauldipietro/CollectionViewChallenge/pulls) Shrink You Android App Size (https://devblogs.microsoft.com/xamarin/shrinking-android-app-size/?WT.mc_id=xamarinpodcast61-podcast-masoucou) The new xamarin.com (https://dotnet.microsoft.com/apps/xamarin?WT.mc_id=xamarinpodcast61-podcast-masoucou) Use GitHub to sign-in to the Azure portal (https://azure.microsoft.com/blog/key-improvements-to-the-azure-portal-user-experience/?WT.mc_id=xamarinpodcast61-podcast-masoucou) ... and associate your GitHub and Microsoft accounts... (https://support.microsoft.com/help/4501231/microsoft-account-link-your-github-account?WT.mc_id=xamarinpodcast61-podcast-masoucou) CaptionR (https://github.com/anthonychu/captionr) Follow Us: * James: Twitter (https://twitter.com/jamesmontemagno), Blog (https://montemagno.com), GitHub (http://github.com/jamesmontemagno), Merge Conflict Podcast (http://mergeconflict.fm) * Matt: Twitter (https://twitter.com/codemillmatt), Blog (https://codemilltech.com), GitHub (https://github.com/codemillmatt)

What can you do with the Bot Framework? How about make old-school 8-bit adventure games? While at UpdateConf in Prague, Carl and Richard chatted with Edwin van Wijk and Sander Molenkamp about the GameATron4000 open source project that ties the Bot Framework together with Phaser.io graphics to make simple, funny adventure games. The conversation explores how the Bot Framework simplifies the whole command engine of the game, being able to deal with the variations in language to still get to the intent commands of the game. Add other Cognitive Services to take it even further! The project is open source and looking for contributors - bring your humor and learn what the Bot Framework can do!Support this podcast at — https://redcircle.com/net-rocks/donations

Azure Friday visited various Microsoft booths in the Expo Hall at Build 2018 to learn what's new. In this episode, Lara Rubbelke gets an update on Cognitive Services - Languages (LUIS) from Ahmed Ashour.For more information, see:Cognitive ServicesCognitive Services (docs)Create a free account (Azure)Follow @sqlgal Follow @AzureFriday

Azure Friday visited various Microsoft booths in the Expo Hall at Build 2018 to learn what's new. In this episode, Lara Rubbelke gets an update on Cognitive Services - Languages (LUIS) from Ahmed Ashour.For more information, see:Cognitive ServicesCognitive Services (docs)Create a free account (Azure)Follow @sqlgal Follow @AzureFriday

Azure Friday visited various Microsoft booths in the Expo Hall at Build 2018 to learn what's new. In this episode, Lara Rubbelke gets an update on Cognitive Services - Languages (LUIS) from Ahmed Ashour.For more information, see:Cognitive ServicesCognitive Services (docs)Create a free account (Azure)Follow @sqlgal Follow @AzureFriday

Azure Friday visited various Microsoft booths in the Expo Hall at Build 2018 to learn what's new. In this episode, Lara Rubbelke gets an update on Cognitive Services - Languages (LUIS) from Ahmed Ashour.For more information, see:Cognitive ServicesCognitive Services (docs)Create a free account (Azure)Follow @sqlgal Follow @AzureFriday

What's an "Emerging Experience" and why would you want one? Carl and Richard talk to Giorgio Sardo about Microsoft's overarching term for all of the new ways we connect humans to computers, and how much more fun it is to program beyond the keyboard and mouse! Of course it's easy to jump right to HoloLens, which is very cool, but there is so much more in the space. Giorgio talks about some of the Cognitive Services features available including LUIS, which is all about having a really natural conversation with your machine, and how it's possible to write code to work with it without a PhD in Linguistics! There's a ton of links to a host of cool tools for moving into this new space of development. Computing technology is permeating the world, and Microsoft is working hard to let your existing skills take advantage of it. Jump in!Support this podcast at — https://redcircle.com/net-rocks/donations