Podcasts about azure ai

Mark Ericksen, creator of the Elixir LangChain framework, joins the Elixir Wizards to talk about LLM integration in Elixir apps. He explains how LangChain abstracts away the quirks of different AI providers (OpenAI, Anthropic's Claude, Google's Gemini) so you can work with any LLM in one more consistent API. We dig into core features like conversation chaining, tool execution, automatic retries, and production-grade fallback strategies. Mark shares his experiences maintaining LangChain in a fast-moving AI world: how it shields developers from API drift, manages token budgets, and handles rate limits and outages. He also reveals testing tactics for non-deterministic AI outputs, configuration tips for custom authentication, and the highlights of the new v0.4 release, including “content parts” support for thinking-style models. Key topics discussed in this episode: • Abstracting LLM APIs behind a unified Elixir interface • Building and managing conversation chains across multiple models • Exposing application functionality to LLMs through tool integrations • Automatic retries and fallback chains for production resilience • Supporting a variety of LLM providers • Tracking and optimizing token usage for cost control • Configuring API keys, authentication, and provider-specific settings • Handling rate limits and service outages with degradation • Processing multimodal inputs (text, images) in Langchain workflows • Extracting structured data from unstructured LLM responses • Leveraging “content parts” in v0.4 for advanced thinking-model support • Debugging LLM interactions using verbose logging and telemetry • Kickstarting experiments in LiveBook notebooks and demos • Comparing Elixir LangChain to the original Python implementation • Crafting human-in-the-loop workflows for interactive AI features • Integrating Langchain with the Ash framework for chat-driven interfaces • Contributing to open-source LLM adapters and staying ahead of API changes • Building fallback chains (e.g., OpenAI → Azure) for seamless continuity • Embedding business logic decisions directly into AI-powered tools • Summarization techniques for token efficiency in ongoing conversations • Batch processing tactics to leverage lower-cost API rate tiers • Real-world lessons on maintaining uptime amid LLM service disruptions Links mentioned: https://rubyonrails.org/ https://fly.io/ https://zionnationalpark.com/ https://podcast.thinkingelixir.com/ https://github.com/brainlid/langchain https://openai.com/ https://claude.ai/ https://gemini.google.com/ https://www.anthropic.com/ Vertex AI Studio https://cloud.google.com/generative-ai-studio https://www.perplexity.ai/ https://azure.microsoft.com/ https://hexdocs.pm/ecto/Ecto.html https://oban.pro/ Chris McCord's ElixirConf EU 2025 Talk https://www.youtube.com/watch?v=ojL_VHc4gLk Getting started: https://hexdocs.pm/langchain/gettingstarted.html https://ash-hq.org/ https://hex.pm/packages/langchain https://hexdocs.pm/igniter/readme.html https://www.youtube.com/watch?v=WM9iQlQSFg @brainlid on Twitter and BlueSky Special Guest: Mark Ericksen.

Build and run your AI apps and agents at scale with Azure. Orchestrate multi-agent apps and high-scale inference solutions using open-source and proprietary models, no infrastructure management needed. With Azure, connect frameworks like Semantic Kernel to models from DeepSeek, Llama, OpenAI's GPT-4o, and Sora, without provisioning GPUs or writing complex scheduling logic. Just submit your prompt and assets, and the models do the rest. Using Azure's Model as a Service, access cutting-edge models, including brand-new releases like DeepSeek R1 and Sora, as managed APIs with autoscaling and built-in security. Whether you're handling bursts of demand, fine-tuning models, or provisioning compute, Azure provides the capacity, efficiency, and flexibility you need. With industry-leading AI silicon, including H100s, GB200s, and advanced cooling, your solutions can run with the same power and scale behind ChatGPT. Mark Russinovich, Azure CTO, Deputy CISO, and Microsoft Technical Fellow, joins Jeremy Chapman to share how Azure's latest AI advancements and orchestration capabilities unlock new possibilities for developers. ► QUICK LINKS: 00:00 - Build and run AI apps and agents in Azure 00:26 - Narrated video generation example with multi-agentic, multi-model app 03:17 - Model as a Service in Azure 04:02 - Scale and performance 04:55 - Enterprise grade security 05:17 - Latest AI silicon available on Azure 06:29 - Inference at scale 07:27 - Everyday AI and agentic solutions 08:36 - Provisioned Throughput 10:55 - Fractional GPU Allocation 12:13 - What's next for Azure? 12:44 - Wrap up ► Link References For more information, check out https://aka.ms/AzureAI ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Learn how to supercharge your AI development with our integrated signals loop that connects model choice, knowledge retrieval, fine-tuning, orchestration and memory —anchored by observability and trust. Design, customize, and manage intelligent agents using open standards and protocols such as Model Context Protocol (MCP) and Agent-to-Agent (A2A) to connect with tools and drive collaboration. Gain insights into advanced orchestration, tracing, and monitoring to streamline decision-making, boost efficiency, accelerate time to market, and lower costs.NOTE - This is a bit of a meta-episode, recorded live at Microsoft Build, this is a discussion about how Scott might use AI to help produce his podcast!Azure AI Foundry: The AI app and Agent Factory | BRK155

Microsoft's Build 2025 conference featured a major push towards an "open agentic web", where AI agents can perform autonomous tasks, supported by upgrades to GitHub Copilot and the Azure AI platform, as well as a new research acceleration tool called "Microsoft Discovery". Separately, researchers developed AI-powered headphones capable of translating multiple speakers simultaneously in real-time 3D audio. Meanwhile, Google DeepMind introduced AlphaEvolve, an AI coding agent that has achieved breakthroughs in complex mathematical problems and data centre optimization. Finally, new US legislation known as the "Take It Down Act" specifically addresses the harmful use of AI in generating non-consensual deepfake imagery.

This week, we'll tackle the basics of Azure AI Foundry. First, we'll talk about what it is and who it aims for. We will also walk you through the options and capabilities, like reviewing models, fine-tuning, and managing your data and indexes. We'll also consider the different aspects of building your apps before wrapping up with considerations on possible apps you could build.(00:00) - Intro and catching up.(03:15) - Show content starts.Show links- Plan and manage costs for Azure AI Foundry- GitHub - Azure-Samples/rag-data-openai-python-promptflow: A copilot sample that uses python to ground the copilot responses in company data.- GitHub - openai/openai-dotnet: The official .NET library for the OpenAI API- Give us feedback!

May 5, 2025 | Season 7 | Episode 17The investment world witnessed a seismic shift as Warren Buffett announced his plan to step down as CEO of Berkshire Hathaway, effective January 1, 2026. While maintaining his chairman role and 14% ownership stake worth $164 billion, Buffett will pass operational control to Greg Abel after an unparalleled career generating a 5,502,000% return over six decades – compared to the S&P 500's 39,000% with dividends.What made Buffett irreplaceable wasn't just his brilliance, but his extraordinary dedication and pattern recognition abilities developed through reading over 100,000 financial statements. Unlike modern investors relying on technology, Buffett built what one journalist called "a form of artificial intelligence" through his obsessive study and near-photographic memory. His success benefited from perfect timing – beginning his career before institutional investors dominated markets – and a unique structure that avoided management fees and market-timing pressures.Though none of us will match Buffett's performance, individual investors share key advantages with him. We can think long-term without pressure for quick returns, invest with minimal fees, and maintain positions through market turbulence. These structural benefits give patient investors a surprising edge in today's fast-moving markets.Meanwhile, markets completed their longest winning streak since 2004, with the S&P rising nine consecutive days. Yet professional investors are remarkably pessimistic – Barron's latest poll shows 32% bearish, higher than during the dot-com crash, 9/11, financial crisis, or pandemic. This extreme sentiment might actually signal opportunity ahead.Artificial intelligence continues driving tech investment, with Microsoft reporting being "capacity constrained" for Azure AI servers and Meta increasing capital expenditure forecasts. As one executive put it, "We're not even at the second strike of the first batter in the first inning" of AI development, suggesting the revolution is just beginning.Want more market insights and investment perspectives? Subscribe to receive our latest analysis and join a community of thoughtful investors navigating today's complex financial landscape.** For informational and educational purposes only, not intended as investment advice. Views and opinions are subject to change without notice. For full disclosures, ADVs, and CRS Forms, please visit https://heroldlantern.com/disclosure **To learn about becoming a Herold & Lantern Investments valued client, please visit https://heroldlantern.com/wealth-advisory-contact-formFollow and Like Us on Youtube, Facebook, Twitter, and LinkedIn | @HeroldLantern

Get featured on the show by leaving us a Voice Mail: https://bit.ly/MIPVM FULL SHOW NOTES https://www.microsoftinnovationpodcast.com/680 Microsoft's AI landscape has evolved into three distinct categories: Copilot for Microsoft 365 (M365) applications, Copilot Studio for low-code chatbot development, and Azure AI Foundry (formerly AI Studio) for pro-code flexibility with AI models. Join Nanddeep Nachan on today's Power Platform Show to learn more. TAKEAWAYs• Declarative agents provide the simplest approach to extending Copilot functionality without complex licensing• Teams toolkit in Visual Studio Code offers an easy way to create declarative agents using simple JSON configurations• Copilot Studio gives business users a drag-and-drop interface for creating virtual assistants quickly• Azure AI Foundry provides comprehensive tools for developers and data scientists building advanced AI solutions• Retrieval Augmented Generation (RAG) pattern bridges the gap between LLMs and organization-specific data• Contract management use cases demonstrate how AI can extract insights from millions of documents• Graph RAG pattern enables "global queries" that deliver insights across entire document collections• AI Foundry solutions can be deployed directly to websites, Teams apps, or Microsoft 365 Copilot• Despite impressive personal productivity gains, many organizations still struggle to find compelling enterprise-level use cases for CopilotThis year we're adding a new show to our line up - The AI Advantage. We'll discuss the skills you need to thrive in an AI-enabled world. DynamicsMinds is a world-class event in Slovenia that brings together Microsoft product managers, industry leaders, and dedicated users to explore the latest in Microsoft Dynamics 365, the Power Platform, and Copilot.Early bird tickets are on sale now and listeners of the Microsoft Innovation Podcast get 10% off with the code MIPVIP144bff https://www.dynamicsminds.com/register/?voucher=MIPVIP144bff Accelerate your Microsoft career with the 90 Day Mentoring Challenge We've helped 1,300+ people across 70+ countries establish successful careers in the Microsoft Power Platform and Dynamics 365 ecosystem.Benefit from expert guidance, a supportive community, and a clear career roadmap. A lot can change in 90 days, get started today!Support the showIf you want to get in touch with me, you can message me here on Linkedin.Thanks for listening

In this episode, Sujit D'Mello and Cynthia Kreng are joined by special guest Mike Becker, an Azure Architect at Microsoft, to discuss how various Azure services can be combined to create a complex solution. Sujit covers the latest enhancements in AKS, including Azure CNI, load balancer support, network isolated clusters, cost recommendations, and GPU driver options. Mike shares insights into a comprehensive Azure cloud solution for collecting and analyzing economic data and media feedback about companies, highlighting the use of Azure Data Factory, Databricks, Power BI, and OpenAI for sentiment analysis. The discussion delves into the architectural decisions, technical challenges, and practical applications of these technologies in delivering robust and secure solutions.   Media file: https://azpodcast.blob.core.windows.net/episodes/Episode516.mp3 YouTube: https://youtu.be/wG12eJymh54 Resources: ADF how it workshttps://learn.microsoft.com/en-us/azure/data-factory/introduction#how-does-it-work Azure Data Factory- Best Practiceshttps://learn.microsoft.com/en-us/answers/questions/1283307/azure-data-factory-best-practices Azure Data Bricks Medallion architecturehttps://learn.microsoft.com/en-us/azure/databricks/lakehouse/medallion Azure Data Bricks Best Practiceshttps://dzone.com/articles/azure-databricks-best-practices-for-a-developer Sentiment Analysis with Azure AI serviceshttps://learn.microsoft.com/en-us/azure/synapse-analytics/machine-learning/tutorial-cognitive-services-sentiment Power BI recommendationshttps://community.fabric.microsoft.com/t5/Desktop/Power-BI-Development-and-Best-Practices/m-p/4632985/highlight/true#M1386307 Improve Power BI model's performancehttps://powerbi.microsoft.com/en-us/blog/best-practice-rules-to-improve-your-models-performance/ GitLab best practices - if you cannot use Azure DevOpshttps://about.gitlab.com/topics/version-control/what-are-gitlab-flow-best-practices/

Per is an experienced software architect and developer with more than 19 years of experience in designing, developing, and testing software. He is currently serving as a Distinguished software developer at Delegate, a Microsoft Partner in Denmark.   Topics of Discussion: [3:02] More about Per's background in nearly two decades in .NET and Azure consulting. [6:11] The concept of a boutique consultant. [7:00] Founding ATC-Net to share common .NET libraries and avoid duplicative coding. [10:02] Building trust with customers by open-sourcing “generic” components. [11:50] Creating a connector to run Olama (local LLMs) with Semantic Kernel. [20:08] Why Per “fell in love” with Semantic Kernel's abstraction layers and extension possibilities. [21:44] The role of vector stores (like Azure Cognitive Search) in retrieval-augmented generation. [24:33] What do we mean by “vector” in the AI space? [26:39] What is a “text chunker”? [31:43] Azure AI search. [34:07] Finding the right tool for the right task.   Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Programming with Palermo — New Video Podcast! Email us at programming@palermo.net. Clear Measure, Inc. (Sponsor) .NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo atc-net GitHub Per Kops LinkedIn Per Kops GitHub   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

SevenYoken is revolutionizing accounting with autonomous AI that performs an accountant's days of work in minutes, delivering comprehensive financial reports and professional insights. Tom shares how their system evolved from a certified autonomous bookkeeper to a digital financial officer that can interpret balance sheets, process transactions, and even provide opinions and follow-up questions.• Creating autonomous accounting intelligence that delivers financial reports in minutes• Transforming raw financial data (balance sheets, invoices, bank statements) into comprehensive analyses• Developing a "certified autonomous bookkeeper" that handles repetitive transactional tasks• Building on 15 years of accounting data to train AI with real-world financial scenarios• Using the persona of a Digital Financial Officer (DFO) to bridge the trust gap with users• Running entirely on open-source models deployed in Azure AI cloud• Launching einvoiceBE platform to simplify compliance with upcoming e-invoicing regulations• Providing solutions for small businesses and enterprises with legacy systems through APIsTo learn more about SevenYoken's accounting solutions or their new e-invoicing platform, visit their website or contact them directly for customized solutions to streamline your financial operations.Thank you for tuning into our podcast about global trends in the FinTech industry.Check out our podcast channel.Learn more about The Connector. Follow us on LinkedIn.CheersKoen Vanderhoydonkkoen.vanderhoydonk@jointheconnector.com#FinTech #RegTech #Scaleup #WealthTech

Learn how many enterprises have monetized their LLMs! Hazem El-Hammamy from Microsoft shares how you can leverage Azure AI Foundry to monetize your LLMs, SLMs, and other agentic IP. We discuss:Model Catalog: Access to first-party and third-party models like GPT-4, Meta's Llama, and more.Models as a Service: Simplified deployment and monetization without needing your own GPUs.Workshops & Events: Upcoming sessions on real-time intelligence, data warehousing, and AI insights with Microsoft Fabric.Success Stories: Featuring partners like NTT DATA with their Tsuzumi model.Stay tuned for more updates and join us in our upcoming workshops! #MicrosoftAzure #AI #LLM #TechInnovationOur weekly meetup on Azure AI topics is at https://aka.ms/meetup . Connect with us on LinkedIn at Hazem El-Hammamyand James Caton .Chapters• 00:00 Introduction to Generative AI Monetization• 00:58 Introduction to Monetizing LLMs• 04:35 Understanding Models as a Service• 09:48 Live Demo of Model Catalog• 12:34 Exploring Azure Marketplace• 17:48 Model Onboarding Process• 27:16 Fine-Tuning Models as a Service• 30:49 Q&A and Audience Interaction

Create agentic solutions quickly and efficiently with Azure AI Foundry. Choose the right models, ground your agents with knowledge, and seamlessly integrate AI into your development workflow—from early experimentation to production. Test, optimize, and deploy with built-in evaluation and management tools. See how to leverage the Azure AI Foundry SDK to code and orchestrate intelligent agents, monitor performance with tracing and assessments, and streamline DevOps with production-ready management. Yina Arenas, from the Azure AI Foundry team, shares its extensive capabilities as a unified platform that supports you throughout the entire AI development lifecycle. ► QUICK LINKS:  00:00 - Create agentic solutions with Azure AI Foundry 00:20 - Model catalog in Azure AI Foundry 02:15 - Experiment in the Azure AI Foundry playground 03:10 - Create and customize agents 04:13 - Assess and improve agents 05:58 - Monitor and manage apps 06:50 - Create a multi-agentic app in code 09:26 - Create a Sender agent 10:39 - How to connect orchestration logic 11:25 - Watch agents work 12:26 - Wrap up ► Link References Get started with Azure AI Foundry at https://ai.azure.com ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics  

This week, we look at building agents using Azure AI Foundry. What's an agent, and why should you care? What's the process for building an agent? And where does Copilot Studio stand in here? Also, Jussi asks Tobi an unexpected question.(00:00) - Intro and catching up.(04:05) - Show content starts.Show links- Azure AI Foundry: Agents (preview)- Introducing Azure AI Agent service- Ctrl+Alt+Azure | Episode 267: Building AI apps with Microsoft.Extensions.AI- Ctrl+Alt+Azure | Episode 269: Microsoft 365 Copilot Agents with Paolo Pialorsi- Give us feedback!

Scott Nichols is a Principal Cloud Solutions Architect at Microsoft. He works for the commercial enterprise division serving the high-tech division out of Silicon Valley. He is also the leader of the .NET and the Azure user groups in Boise, Idaho. He started his career in the IT profession in 1993 as a mainframe and web developer. Since then, he has served as a Lead Software Engineer/Solution Architect, a Software Development Engineering Manager, a Sr. Cloud Software Solution Architect, and a Sr. Enterprise Solution Architect. When not at the keyboard, he loves the outdoors hunting, camping, fishing, archery, and working in the yard.   Topics of Discussion: [4:03] Generative AI's turning point. [5:52] Bridging the AI coding gap. [6:39] Scott explains the shift in project workloads to generative AI-based projects, both customer-facing and internal. [7:25] Networking companies using AI to analyze telemetry data and create new products. [8:49] Azure AI Foundry is a web portal that allows developers to spin up Azure Compute and access over 1800 models. [13:00] Although a “Cloud Guy,” Scott values his on-prem hardware as a playground for learning and experimenting with AI tools. [15:04] The benefits of using open source or on-prem tools to start working with AI without incurring cloud costs right away. [15:40] The rapid pace of innovation. [20:41] An example of Khan Academy using AI to create an online tutor, requiring significant prompt engineering to ensure accurate responses. [27:12] AI agents monitoring AI agents. [27:59] AI's limitations and opportunities. [31:56] Testing strategies for AI-Integrated systems. [35:37] The future of AI and how it's a great time to be in AI. [39:35] Great advice for the next generation of developers and software engineers.   Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Programming with Palermo — New Video Podcast! Email us at programming@palermo.net. Clear Measure, Inc. (Sponsor) .NET DevOps for Azure: A Developer's Guide to DevOps Architecture the Right Way, by Jeffrey Palermo  The Five Pillars: Leadership For Effective Custom Software, by Jeffrey Palermo  Jeffrey Palermo's Twitter — Follow to stay informed about future events! Ep 116 with Scott Nichols Scott Nichols LinkedIn Scott Nichols Twitter   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

Design, customize and manage your own custom applications with Azure AI Foundry right from your code. With Azure AI Foundry, leverage over 1,800 models, seamlessly integrating them into your coding environment to create agents and tailored app experiences. Utilize Retrieval Augmented Generation and vector search to enrich responses with contextual information, as well with built-in services to incorporate cognitive skills such as language, vision, and safety detection. Dan Taylor, Principal Product Architect for Azure AI Foundry SDK, also shares how to streamline your development process with tools for orchestration and monitoring. Use templates to simplify resource deployment and run evaluations against large datasets to optimize performance. With Application Insights, gain visibility into your app's metrics, enabling data-driven decisions for continuous improvement. ► QUICK LINKS: 00:00 - Manage AI apps in Azure AI Foundry 00:27 - What's in the Azure AI Foundry 01:37 - Ground apps using your own data 03:03 - Retrieval Augmented Generation 03:48 - Using vector search 04:17 - Set up your coding environment 06:11 - How to build AI apps in code 07:16 - Using traces 07:45 - Evaluating performance against large data sets 08:19 - Options for monitoring your AI apps 08:58 - Wrap up ► Link References Find the Azure AI Foundry at https://ai.azure.com Check out our code samples at https://aka.ms/AIAppTemplates ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Nilay and David dig into the week's biggest story: the new Intel-powered Surface Pro. Kidding! They talk about DeepSeek, the out-of-nowhere AI company that sent both Silicon Valley and the stock market into uproar this week. Then, after the hosts debate what the real killer app for AI is — and whether we've even found one yet — we follow up on our question from last week about how people are actually using AI. We got so many good answers, and we talk through what to make of them all. Finally, in the lightning round, we talk about Brendan Carr being a dummy, the return of the Pebble, the continued rise of Bluesky and Threads, and Meta's $25 million check to Trump. Further reading: Why everyone is freaking out about DeepSeek DeepSeek says its newest AI model, Janus-Pro can outperform Stable Diffusion and DALL-E 3. Microsoft makes DeepSeek's R1 model available on Azure AI and GitHub OpenAI has evidence that its models helped train China's DeepSeek China's DeepSeek AI is hitting Nvidia where it hurts DeepSeek's AI app is restricting sign-ups due to ‘malicious attacks'  US Navy jumps the DeepSeek ship. DeepSeek wakes up Trump. OpenAI CEO Sam Altman on DeepSeek R1: “an impressive model.” Mark Zuckerberg tells Meta investors to not worry about DeepSeek The Pebble smartwatch is making a comeback, with some help from Google  Oracle and Microsoft are reportedly in talks to take over TikTok FCC chair says landlords can force bulk internet service on residents From NYT: F.C.C. Chair Orders Investigation Into NPR and PBS Sponsorships Meta agrees to pay $25 million to settle Trump account suspension suit Zuckerberg wants to Make Facebook Great Again Zuck wants to bring the “OG Facebook” back. Email us at vergecast@theverge.com or call us at 866-VERGE11, we love hearing from you. Learn more about your ad choices. Visit podcastchoices.com/adchoices

The episode highlights the fallout of DeepSeek, an open-source large language model that has gained traction for its cost-effectiveness and performance. Microsoft has integrated DeepSeek's R1 model into its Azure AI foundry and GitHub, while businesses like ZoomInfo report substantial cost reductions by switching from OpenAI's models to R1. However, the rise of DeepSeek raises concerns about data privacy, bias, and security, particularly given its reported vulnerabilities and the influence of the Chinese government.Sobel also covers the U.S. Copyright Office's recent clarification regarding AI-generated content, stating that such content can receive copyright protection if a human significantly contributes to or modifies it. This announcement aims to address the legal gray areas surrounding AI and copyright, providing clearer guidelines for IT service providers and content creators. The episode emphasizes the importance of human creativity in copyright law while acknowledging that the subjective nature of "significant human involvement" could still lead to legal disputes.In addition to copyright issues, the episode discusses Super Ops' successful $25 million Series C funding round, which positions the company to enter the direct IT market with an AI-powered endpoint management tool. This move reflects a broader trend in the IT service market toward automation-first solutions, as companies like Super Ops and Syncro seek to enhance operational efficiency. Sobel advises IT leaders to remain cautious about efficiency claims and to evaluate real-world performance before adopting new technologies.Finally, the episode delves into the ethical implications of data usage in AI development, particularly in light of OpenAI's allegations against DeepSeek for potentially misusing its API. Sobel critiques the hypocrisy of OpenAI's outrage over data theft, given its own history of data collection practices. The discussion raises fundamental questions about the future of AI development, the legal frameworks governing it, and the potential for commoditized AI models to benefit both service providers and customers. As the landscape evolves, Sobel encourages listeners to stay informed and engaged with these critical issues. Four things to know today 00:00 Cheap AI Comes at a Price: DeepSeek's Rise Sparks Security and Bias Concerns04:31 AI Can Be Copyrighted—As Long As a Human Puts in the Work, Says U.S. Copyright Office07:32 SuperOps Lands $25M—And a Spot in the Direct IT Market With AI in Tow09:01 AI's Ultimate Irony: OpenAI Furious Over Data Theft… After Doing the Same?   Supported by:  https://www.huntress.com/mspradio/   All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

With the ability to connect to Azure AI Foundry & Microsoft Fabric, the ability to connect your data has never been easier. What are the implications of this? Get in touch: Send in your questions or topics you want us to discuss by tweeting to @PowerBITips with the hashtag #empMailbag or submit on the PowerBI.tips Podcast Page. Visit PowerBI.tips: https://powerbi.tips/ Watch the episodes live every Tuesday and Thursday morning at 730am CST on YouTube: https://www.youtube.com/powerbitips Subscribe on Spotify: https://open.spotify.com/show/230fp78XmHHRXTiYICRLVv Subscribe on Apple: https://podcasts.apple.com/us/podcast/explicit-measures-podcast/id1568944083‎ Check Out Community Jam: https://jam.powerbi.tips Follow Mike: https://www.linkedin.com/in/michaelcarlo/ Follow Seth: https://www.linkedin.com/in/seth-bauer/ Follow Tommy: https://www.linkedin.com/in/tommypuglia/

Vance and Musk both have Silicon Valley heritage, but Elon gots mo' DOGE, mo' rockets, and mo' raw cash, fam! Meanwhile, the battle of AI collaboration continues: Amazon's Alexa and AWS will need to work with Anthropic's Claude.AI, Apple's Siri will need to understand OpenAI's Sora, and Microsoft's Azure AI may integrate with Facebook's Llama and Reality Labs for AR/VR capabilities globally. Sounds like the kind of ‘healthy competition' that brings innovation and efficiencies… after optimizing AI, the United States Government will be next (or first?) 

In this episode of Exploring Artificial Intelligence in Oncology, Wanmei Ou, PhD, the Vice President of Product, Clinical Decision Support, & Analytics Data Platform at Ontada, shares more about Ontada's collaboration with Microsoft to transform unstructured oncology data with Azure OpenAI technology. Her discussion with Dr. Waqas Haque highlights how AI is transforming clinical workflows, reducing documentation burdens, and driving improved patient outcomes.

The Ultimate Partner LIVE '24 event showcased the unparalleled collaboration between Microsoft, industry leaders, and award-winning partners, emphasizing the $827 billion opportunity in generative AI. A panel led by Neeti Gupta highlighted rapid AI-driven changes, while Dux Raymond Sy of AvePoint discussed monetizing AI and addressing data governance issues hindering GenAI adoption. Sri Ganapathy from Microsoft's Azure AI team stressed the importance of strong data cultures and client readiness, outlining consulting opportunities in assessing technological maturity. Successful AI integration, they noted, hinges on secure, high-quality data and tailored solutions using tools like Copilot Studio. Examples like H&R Block and Vodafone demonstrated AI's transformative impact across industries. Key takeaways included fostering leadership support, building strong data cultures, and addressing ethical and regulatory challenges in AI. As AI models grow cheaper and more efficient, pricing strategies and ROI localization become crucial. Microsoft's efforts in responsible AI, data security, and educating policymakers on tech advancements underscore the need for collaboration to balance innovation with regulation, ensuring a simplified, transformative journey for customers.

Send Everyday AI and Jordan a text messageDid you see that Coca-Cola holiday AI commercial!? It's been all the buzz lately. There were more than a dozen humans that worked on the project. Think that's shocking? Wait until you hear the REAL story and a new way that Coca-Cola is partnering with Microsoft to create some real magic.Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode PageJoin the discussion: Ask Jordan, Pratik and Marco questions on AI Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTopics Covered in This Episode:1. AI and Coca Cola2. AI beyond Chatbots3. AI and Microsoft Azure Foundry4. AI Usage in Coca Cola CampaignsTimestamps:00:00 AI empowers creativity and consumer connection daily.05:57 Custom snow globes created using Microsoft technology.10:11 Discussing Coca-Cola's nostalgic Santa Claus depiction challenges.12:19 Reimagining Santa authentically with cutting-edge technology.15:13 Started Gen AI and OpenAI collaboration in 2022.18:30 Combining human creativity and AI technology.22:27 Trustworthy AI is crucial for responsible deployment.23:50 Generative AI offers unique consumer connections.Keywords:AI, generative AI, Copilot, productivity, consumers, everyday AI, artificial intelligence, Microsoft WorkLab, Azure AI, Microsoft Ignite conference, Pratik Thakar, Coca Cola Company, digital twin, Leonardo AI, chatbot, Outlook calendar, Marco Casalaina, Create Real Magic campaign, Microsoft, marketing, commercials, AI commercials, AI Foundry, programming model, trustworthy AI, ethical prompting strategy, technology, digital marketing, nostalgia, Coca Cola Santa.

The Ultimate Partner LIVE '24 event showcased the unparalleled collaboration between Microsoft, industry leaders, and award-winning partners, emphasizing the $827 billion opportunity in generative AI. A panel led by Neeti Gupta highlighted rapid AI-driven changes, while Dux Raymond Sy of AvePoint discussed monetizing AI and addressing data governance issues hindering GenAI adoption. Sri Ganapathy from Microsoft's Azure AI team stressed the importance of strong data cultures and client readiness, outlining consulting opportunities in assessing technological maturity. Successful AI integration, they noted, hinges on secure, high-quality data and tailored solutions using tools like Copilot Studio. Examples like H&R Block and Vodafone demonstrated AI's transformative impact across industries. Key takeaways included fostering leadership support, building strong data cultures, and addressing ethical and regulatory challenges in AI. As AI models grow cheaper and more efficient, pricing strategies and ROI localization become crucial. Microsoft's efforts in responsible AI, data security, and educating policymakers on tech advancements underscore the need for collaboration to balance innovation with regulation, ensuring a simplified, transformative journey for customers.

A quick overview of teh major news from the recent Microsoft Ignite. So much to get through, but here's an initial look at what caught my attention and starting for you to also go and get the latest information. More coming over the upcoming weeks, so stay tuned right here! Resources @directorcia Join my shared channel CIAOPS merch store Become a CIAOPS Patron CIAOPS Blog CIAOPS Brief CIAOPSLabs Support CIAOPS Microsoft Ignite How to configure Passkeys in Microsoft Entra ID Teams Premium enhances scheduling in Microsoft Bookings Enhance meeting security with Teams Premium's email verification for external meeting participants What's New in Microsoft Teams | Microsoft Ignite 2024 Introducing the Employee Self-Service Agent Streamline HR and IT Tasks with Microsoft 365 Copilot's Employee Self-Service Agent Introducing the Employee Self-Service Agent in Microsoft 365 Copilot AI agents — what they are, and how they'll change the way we work What's new in Copilot in Microsoft Forms – Ignite 2024 Introducing Agents in Microsoft 365 New M365 Copilot Data Lifecycle Management options Copilot Studio is enhancing its platform with knowledge improvements, Azure AI integration, and more Gather and create notes with Copilot in your personal OneNote notebooks directly on the page Introducing Copilot Analytics to measure AI impact on your business Ignite 2024: Agents in SharePoint now in general availability Introducing Copilot Actions, new agents, and tools to empower IT teams Microsoft Ignite 2024 | Microsoft 365 Copilot Innovation in Your Go-To Apps Redefine development: AI-first innovation with agents and Microsoft Copilot in Power Platform Accelerate Microsoft 365 Copilot adoption with built-in content governance Transforming endpoint management with Copilot in Intune Ignite 2024: Transform your workday with the latest Edge for Business features Microsoft Intune news at Microsoft Ignite 2024 Manage Security with Microsoft Security Copilot Targeting the Cybercrime Supply Chain Announcing the Security Enablement Hub on adoption.microsoft.com Simplify & scale data protection in the era of AI with Microsoft Purview Data Loss Prevention Windows security and resiliency: Protecting your business Ignite 2024: Transforming Security with Microsoft Security Copilot Unlock Proactive Defense: Microsoft Security Exposure Management Now Generally Available AI innovations for a more secure future unveiled at Microsoft Ignite Content and communication event guide for Microsoft Ignite 2024 | Teams, SharePoint and OneDrive Loop governance, lifecycle, manageability for IT Admins – Nov 2024 Hotpatch for client comes to Windows 11 Enterprise Microsoft Ignite 2024: Embracing the future of Windows at work Windows 365 Link—the first Cloud PC device for Windows 365 Afterhours World's First Selfie From Space! (YOU Can Get One Too!)

Live from the heart of Microsoft Ignite 2024 in Chicago, right from the Expo floor, we're bringing you a special limited series of episodes. Join us as we make connections between Microsoft, Azure AI and Data, Security, Industry, Development Community and customer experience. Plus, we'll keep you updated on all the latest news and juicy gossip.   On day three of the conference Dave and Rob talk to:Kathleen Mitford, CVP Global Industry Marketing about Industry AI TransformationIrina Nechaeva, GM Identity & Access about the State of the Nation on IaM managementMarco Casalaina, VP Azure AI about Democratization of AITLDR00:40 The four main themes from Microsoft Ignite'2409:59 Industry meets AI Transformation with Kathleen Mitford40:47 IaM management meets AI with Irina Nechaeva1:07:47 The future meets AI with Marco Casalaina1:35:08 Final conclusion and goodbye to Chicago and Microsoft Ignite'24 Guest- Kathleen Mitford: https://www.linkedin.com/in/kmitford/- Irina Nechaeva: https://www.linkedin.com/in/irinanechaeva/- Marco Casalaina: https://www.linkedin.com/in/marcocasalaina/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/'Cloud Realities' is an original podcast from Capgemini

Live from the heart of Microsoft Ignite 2024 in Chicago, we're bringing you three daily episodes. Join us as we make connections between Microsoft, Azure AI and Data, Security, Industry, Development Community and customer experience. Plus, we'll keep you updated on all the latest news and juicy gossip.   On day two of the conference Dave and Rob talk to:Rudra Mitra, CVP Purview about Data Security in the Age of AISarah Bird, CPO for Responsible AI and Yina Arenas, VP, AI Foundry about Embedding Ethics in AI Innovation & the newly announced FoundryScott Hanselman, VP Developer Community about Empowering Developers with AI TLDR00:32 Bar in the Clouds and observation from Microsoft Ignite08:44 Data Security meets AI with Rudra Mitra33:30 Ethics and Foundry meets AI with Dr. Sarah Bird and Yina Arenas1:04:28 Developers meets AI with Scott Hanselman 1:34:13 Conclusion of Day 2 and what will Day 3 bring?GuestRudra Mitra: https://www.linkedin.com/in/rudramitra/Dr. Sarah Bird: https://www.linkedin.com/in/slbird/Yina Arenas: https://www.linkedin.com/in/yinaa/Scott Hanselman: https://www.linkedin.com/in/shanselman/HostsDave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/ProductionMarcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/Dave Chapman: https://www.linkedin.com/in/chapmandr/SoundBen Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/'Cloud Realities' is an original podcast from Capgemini

Catch the latest updates in this episode of Six Five On The Road at Microsoft Ignite. Hosts Patrick Moorhead and Daniel Newman are joined by Microsoft's Asha Sharma and Sarah Bird, for a conversation on new developments in Azure AI and its impact on developing generative AI applications. Tune in as they cover

Find out why leading AI companies Pinecone and Weights & Biases are joining forces with Microsoft to empower developers and drive innovation. This episode of Six Five On The Road at Microsoft Ignite features Microsoft's Mike Hulme General Manager, Digital Apps and Innovation, Azure, Chris Van Pelt, Co-founder & CISO at Weights & Biases, and Lauren Nemeth, Chief Operating Officer at Pinecone with host Daniel Newman for a conversation on utilizing Microsoft's Azure AI Platform to build high-performance AI applications. Their discussion covers: The extensive Azure AI toolchain including frameworks, databases, and LLM observability from leading ISVs Azure Native Integrations enhancing the developer experience with ISV services seamlessly in Azure The strategic partnership between Microsoft, Weights & Biases, and Pinecone to simplify AI app development The growing trend and Microsoft's strategy in partnering with ISVs to bolster AI solution offerings How Pinecone and Weights & Biases aim to drive optimal outcomes through their Microsoft partnership  

Live from the heart of Microsoft Ignite 2024 in Chicago, we're bringing you three daily episodes. Join us as we make connections between Microsoft, Azure AI and Data, Security, Industry, Development Community and customer experience. Plus, we'll keep you updated on all the latest news and juicy gossip.  On day one of the conference Dave and Rob first chat with friend of the show Steve Webb about the main Keynote announcements by Satya Nadella, Ignite itself and the critical topic of Chicago pizza.Then they talk to:Arun Ulag, CVP Azure Data, Microsoft, about the importance of Data in the AI landscapeTLDR00:40 Main announcements at Microsoft Ignite 2024 by the team 19:40 Azure Data meets AI with Arun Ulag  Guest Arun Ulag: https://www.linkedin.com/in/arunulag/ Hosts Dave Chapman: https://www.linkedin.com/in/chapmandr/Rob Kernahan: https://www.linkedin.com/in/rob-kernahan/With Steve Webb https://www.linkedin.com/in/stevenpwebb/Production Marcel van der Burg: https://www.linkedin.com/in/marcel-vd-burg/ Dave Chapman: https://www.linkedin.com/in/chapmandr/ Sound Ben Corbett: https://www.linkedin.com/in/ben-corbett-3b6a11135/ Louis Corbett:  https://www.linkedin.com/in/louis-corbett-087250264/'Cloud Realities' is an original podcast from Capgemini

In this bonus episode of the Business of Tech, host Dave Sobel engages in a thought-provoking discussion with Naveen Krishnan, an AI architect at Microsoft. The conversation centers around the evolving landscape of artificial intelligence and its applications across various industries, including retail, financial services, and manufacturing. Nupi shares insights into how businesses are increasingly looking to integrate AI into their existing solutions or develop new ones, highlighting the importance of understanding each customer's unique needs and use cases.Krishnan elaborates on the common use cases for AI that he encounters, emphasizing the growing interest in chat capabilities and dynamic reporting. He explains how businesses are moving away from traditional canned reports and seeking more interactive, natural language-driven reporting solutions. Additionally, he discusses the rise of AI agents, which can perform tasks autonomously, such as generating images or managing DevOps pipelines, showcasing the potential for AI to streamline operations and enhance productivity.The conversation also delves into the critical role of data management in successful AI implementations. Krishnan distinguishes between structured and unstructured data, explaining the necessity of preparing data effectively to leverage AI's capabilities. He outlines strategies for managing data, including creating views to filter relevant information and implementing security measures to protect sensitive data. Krishnan emphasizes the importance of a well-structured data pipeline, particularly for industries dealing with large volumes of unstructured text, such as law firms.As the episode concludes, Krishnan shares his vision for the future of AI over the next 24 months, predicting a focus on refining existing technologies and addressing current limitations. He anticipates the emergence of more sophisticated AI agents that can perform complex tasks and interact seamlessly with users. This forward-looking perspective highlights the ongoing innovation in the AI space and the potential for businesses to harness these advancements to drive efficiency and improve customer experiences.Supported by: https://www.huntress.com/mspradio/    All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessoftech.bsky.social

Millions of people use Azure AI Search every day without knowing it. You can enable your apps with the same search that enables retrieval-augmented generation (RAG) capabilities when you build Custom GPTs or attach files in your ChatGPT prompts. Pablo Castro, Microsoft CVP and Distinguished Engineer Azure AI Search, joins Jeremy Chapman to share how with Azure AI Search, you can create custom applications that retrieve the most relevant information quickly and accurately, even from billions of records. Manage massive-scale datasets while maintaining high-quality search results with ultra-compact, binary quantized vector search indexes that use Matryoshka Representation Learning (MRL) and oversampling to equal the search accuracy of vector indexes up to 96 times larger. These approaches drive significant cost savings by optimizing your vector indexes without compromising quality. ► QUICK LINKS: 00:00 - RAG powered by Azure AI Search 00:50 - Azure AI Search role in ChatGPT 02:01 - Azure AI Search use case - AT&T 03:27 - Start in Azure Portal 04:35 - Massive scale and vector index 06:08 - Scalar & Binary Quantization 07:21 - Martyoshka technique 09:07 - Oversampling 11:31 - How to build an app using Azure AI Search 13:00 - See it in action 14:28 - Enable binary quantization with oversampling 14:54 - Wrap up   ► Link References Get sample code on GitHub at https://aka.ms/SearchQuantizationSample  Check out search solutions at https://aka.ms/AzureAISearch   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

In this episode, we talk about Microsoft Ignite 2024 and our expectations. We've done this several times before, and this time it feels Ignite is even more geared toward the in-person experience - exciting times! Also, Jussi asks Tobi an unexpected question.(00:00) - Intro and catching up.(04:02) - Show content starts. Show links- Microsoft Ignite- Innovate with AI: govern, manage and secure your AI platform - Azure AI platform unlocking the AI revolution - Implementing AI Responsibly and Securely - Trustworthy AI: Future trends and best practices - Windows Server 2025: New ways to gain cloud agility and security - Building intelligent multi-agent systems with Azure AI - Security Partner Growth: Trends on Customer Needs in Security - Accelerate your Zero Trust Journey: Unify Identity and Network Access- Give us feedback!

What are prompt injection attacks and how do you stop them? How do you avoid deceptive responses? Can AI traffic be end-to-end encrypted? We'll answer these questions and more with technical demonstrations to make it real. Mark Russinovich will show you how to develop and deploy AI applications that prioritize safety, privacy, and integrity. Leverage real-time safety guardrails to filter harmful content and proactively prevent misuse, ensuring AI outputs are trustworthy. The integration of confidential inferencing enables users to maintain data privacy by encrypting information during processing, safeguarding sensitive data from exposure. Enhance AI solutions with advanced features like Groundedness detection, which provides real-time corrections to inaccurate outputs, and the Confidential Computing initiative that extends verifiable privacy across all services. Mark Russinovich, Azure CTO, joins Jeremy Chapman to share how to build secure AI applications, monitor and manage potential risks, and ensure compliance with privacy regulations.   ► QUICK LINKS: 00:00 - Keep data safe and private 01:19 - Azure AI Content Safety capability set 02:17 - Direct jailbreak attack 03:47 - Put controls in place 04:54 - Indirect prompt injection attack 05:57 - Options to monitor attacks over time 06:22 - Groundedness detection 07:45 - Privacy—Confidential Computing 09:40 - Confidential inferencing Model-as-a-service 11:31 - Ensure services and APIs are trustworthy 11:50 - Security 12:51 - Web Query Transparency 13:51 - Microsoft Defender for Cloud Apps 15:16 - Wrap up   ► Link References Check out https://aka.ms/MicrosoftTrustworthyAI  For verifiable privacy, go to our blog at https://aka.ms/ConfidentialInferencing    ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

With more than 1700 models to choose from on Azure, selecting the right one is key to enabling the right capabilities, at the right price point, and with the right protections in place. That's where the Azure AI model catalog and model benchmarks can help. With Azure AI, you can seamlessly integrate powerful GenAI models into your app development process, making your applications smarter, more efficient, and highly scalable. Access a vast selection of AI models, from sophisticated large language models to efficient small models that can run offline. Matt McSpirit, Microsoft Azure expert, shows how to compare and select the right AI model for your specific needs. Azure AI's model benchmarks evaluate models on accuracy, coherence, groundedness, fluency, relevance, and similarity. Experiment with different models in Azure AI Studio or your preferred coding environment, and optimize costs with serverless pricing options.   ► QUICK LINKS: 00:00 - Build GenAI powered apps 00:53 - Model choice 02:11 - Use your environments of choice 02:44 - Choose the right AI model 05:28 - Compare models 08:04 - Wrap up   ► Link References Get started at https://ai.azure.com   See data, privacy, and security for use of models at https://aka.ms/AzureAImodelcontrols   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics • Enjoy us on Instagram: https://www.instagram.com/msftmechanics • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Build your own custom applications with Azure AI right from your code. With Azure AI, leverage over 1,700 models, seamlessly integrating them into your coding environment to create tailored app experiences. Utilize features like Retrieval Augmented Generation and vector search to enrich responses with contextual information, as well as prebuilt Azure AI services to incorporate cognitive skills such as language, vision, and safety detection. Dan Taylor, Principal Product Architect for Microsoft Azure AI, also shares how to streamline your development process with tools for orchestration and monitoring. Use templates to simplify resource deployment and run evaluations against large datasets to optimize performance. With Application Insights, gain visibility into your app's metrics, enabling data-driven decisions for continuous improvement.   ► QUICK LINKS: 00:00 - Build custom AI apps with the studio in Azure AI 00:27 - Leverage the studio in Azure AI 01:37 - Build apps grounded on custom data 03:03 - Retrieval Augmented Generation 03:48 - Vector search 04:17 - Set up your coding environment 06:11 - How to build in code 07:16 - Traces 07:45 - Evaluate performance against large data set 08:19 - Options for monitoring 08:58 - Wrap up   ► Link References To get started, go to https://ai.azure.com Check out our code samples at https://aka.ms/AIAppTemplates   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Host Dave Sobel discusses significant advancements in artificial intelligence (AI) announced by major tech players including Amazon, Google, Microsoft, and OpenAI. Amazon has introduced Project Amelia, a generative AI-powered personal assistant aimed at helping sellers optimize their businesses with tailored insights and support. Meanwhile, Google Cloud has integrated its Gemini AI into Workspace, enhancing customer engagement and security through new tools designed to improve user experience while maintaining privacy.OpenAI is expanding access to its advanced voice mode for ChatGPT, allowing for more natural interactions, while Microsoft has rolled out a new correction feature in Azure AI that aims to improve the accuracy of AI outputs. However, experts caution that this tool may not be entirely reliable due to the inherent limitations of language models. Additionally, Nevada is set to implement a Google Generative AI system to assist in unemployment appeals, raising concerns about automation bias and the accuracy of AI-generated recommendations.The episode emphasizes a consistent theme across these announcements: the focus on using AI to augment human capabilities rather than replace them. Sobel suggests that IT service providers should position AI solutions as tools for enhancing efficiency and decision support, rather than fully autonomous systems. This approach highlights the importance of embedding AI into core business processes and developing expertise in integrating generative AI into client environments, with a strong emphasis on personalization, accuracy, and security.In a related discussion, Sobel covers a significant partnership between AWS and Intel, which aims to develop custom AI chips to enhance application performance and strengthen the U.S. semiconductor supply chain. This collaboration is seen as a strategic win for Intel amid ongoing industry shifts. The episode also touches on the legal tensions between Broadcom and AT&T regarding VMware support, illustrating the broader challenges in the IT industry as vendors transition to subscription models. Sobel encourages IT providers to act as trusted advisors, helping clients navigate vendor contracts and explore alternative solutions to ensure favorable terms. Three things to know today00:00 Amazon, Google, Microsoft, and OpenAI Announce AI Enhancements Aimed at Augmenting Human Capabilities05:11 AWS Taps Intel for Custom AI Chips in Major Win Amid Semiconductor Industry Shifts06:37 Broadcom Counters AT&T's Claims Over VMware Support Amid Shift to Subscription Model  Supported by:  https://movebot.io/mspradio/  Event: www.smbTechFest.com/Go/Sobel  All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessoftech.bsky.social

Send me a Text Message hereFULL SHOW NOTES https://podcast.nz365guy.com/599  Ever wondered how a technologist with decades of experience balances a vibrant personal life and a transformative career? Our latest episode features Mark Slosberg, the mastermind behind Hanging Valley Enterprises. With a rich history in the tech world and 42 years of marriage, Mark shares his love for cooking in a kitchen tailored for two type-A chefs, his passion for smoking meats and fish, and his joy in hosting family pizza nights. Outside the kitchen, Mark and his wife are committed hikers and gardeners, transforming their property near Seattle into a low-maintenance haven filled with native plant species.Mark's professional journey is equally compelling. He recalls advocating for SQL Server 2008 at Chevron and spearheading the Microsoft practice at PwC, which significantly integrated Power BI and early PowerApps adoption. His story doesn't end there; after leaving PwC, Mark took on groundbreaking projects using PowerApps and Azure AI, including a successful application for a major seed distributor. His insights reveal how these tools have revolutionized business processes and data management, providing a unique perspective on the evolution of technology in consulting.In a detailed case study, Mark illustrates the power of custom solutions in business technology. He recounts developing a seed distribution app for an agriculture firm struggling with an outdated JD Edwards system. By prototyping with Power Apps and Power BI, Mark's team enhanced data access and streamlined sales operations. Furthermore, he shares a transformative experience with a billion-dollar firm, where leveraging SQL Server and standardizing data views turned around an underperforming Cognos implementation. Tune in to learn how integrating Power Apps with JD Edwards using APIs can revolutionize backend operations and ensure long-term system efficiency.Resources Mentioned First solution in the Microsoft AppSource online solution catalog - https://appsource.microsoft.com/en-us/product/dynamics-365/hangingvalleyenterprisesllc1645487787841.salesenable  90 Day Mentoring Challenge 10% off code use MBAP at checkout https://ako.nz365guy.comSupport the showIf you want to get in touch with me, you can message me here on Linkedin.Thanks for listening

Azure Open AI is widely used in industry but there are number of security aspects that must be taken into account when using the technology. Luckily for us, Audrey Long, a Software Engineer at Microsoft, security expert and renowned conference speaker, gives us insights into securing LLMs and provides various tips, tricks and tools to help developers use these models safely in their applications.   Media file: https://azpodcast.blob.core.windows.net/episodes/Episode502.mp3 YouTube: https://youtu.be/64Achcz97PI Resources: AI Tooling: Azure AI Tooling Announcing new tools in Azure AI to help you build more secure and trustworthy generative AI applications | Microsoft Azure Blog Prompt Shields to detect and block prompt injection attacks, including a new model for identifying indirect prompt attacks before they impact your model, coming soon and now available in preview in Azure AI Content Safety.  Groundedness detection to detect “hallucinations” in model outputs, coming soon.  Safety system messagesto steer your model’s behavior toward safe, responsible outputs, coming soon. Safety evaluations to assess an application’s vulnerability to jailbreak attacks and to generating content risks, now available in preview.   Risk and safety monitoring to understand what model inputs, outputs, and end users are triggering content filters to inform mitigations, coming soon, and now available in preview in Azure OpenAI Service. AI Defender for Cloud AI Security Posture Management AI security posture management (Preview) - Microsoft Defender for Cloud | Microsoft Learn AI Workloads Enable threat protection for AI workloads (preview) - Microsoft Defender for Cloud | Microsoft Learn        AI Red Teaming Tool Announcing Microsoft’s open automation framework to red team generative AI Systems | Microsoft Security Blog AI Development Considerations:   AI Assessment from Microsoft Conduct an AI assessment using Microsoft’s Responsible AI Impact Assessment Template Responsible AI Impact Assessment Guide for detailed instructions Microsoft Responsible AI Processes Follow Microsoft’s Responsible AI principles: fairness, reliability, safety, privacy, security, inclusiveness, transparency, and accountability Utilize tools like the Responsible AI Dashboard for continuous monitoring and improvement Define Use Case and Model Architecture Determine the specific use case for your LLM Design the model architecture, focusing on the Transformer architecture   Content Filtering System How to use content filters (preview) with Azure OpenAI Service - Azure OpenAI | Microsoft Learn Azure OpenAI Service includes a content filtering system that works alongside core models, including DALL-E image generation models. This system uses an ensemble of classification models to detect and prevent harmful content in both input prompts and output completions The filtering system covers four main categories: hate, sexual, violence, and self-harm Each category is assessed at four severity levels: safe, low, medium, and high Additional classifiers are available for detecting jailbreak risks and known content for text and code. JailBreaking Content Filters Red Teaming the LLM Plan and conduct red teaming exercises to identify potential vulnerabilities Use diverse red teamers to simulate adversarial attacks and test the model’s robustness Microsoft AI Red Team building future of safer AI | Microsoft Security Blog Create a Threat Model with OWASP Top 10 owasp.org/www-project-top-10-for-large-language-model-applications/assets/PDF/OWASP-Top-10-for-LLMs-2023-slides-v1_1.pdf Develop a threat model and implement mitigations based on identified risks   Other updates: Los Angeles Azure Extended Zones Carbon Optimization App Config Ref GA OS SKU In-Place Migration for AKS Operator CRD Support with Azure Monitor Managed Service Azure API Center Visual Studio Code Extension Pre-release Azure API Management WordPress Plugin Announcing a New OpenAI Feature for Developers on Azure

Microsoft Fabric seamlessly integrates with generative AI to enhance data-driven decision-making across your organization. It unifies data management and analysis, allowing for real-time insights and actions. With Real Time Intelligence, keeping grounding data for large language models (LLMs) up-to-date is simplified. This ensures that generative AI responses are based on the most current information, enhancing the relevance and accuracy of outputs. Microsoft Fabric also infuses generative AI experiences throughout its platform, with tools like Copilot in Fabric and Azure AI Studio enabling easy connection of unified data to sophisticated AI models.   ► QUICK LINKS: 00:00 - Unify data with Microsoft Fabric 00:35 - Unified data storage & real-time analysis 01:08 - Security with Microsoft Purview 01:25 - Real-Time Intelligence 02:05 - Integration with Azure AI Studio   ► Link References This is Part 3 of 3 in our series on leveraging generative AI. Watch our playlist at https://aka.ms/GenAIwithAzureDBs   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

See how you can use your SQL data as a robust backend for AI applications with semantic search and retrieval augmented generation. Azure SQL Database along with any SQL servers you connect to Azure integrate seamlessly with Azure AI Search and the Azure OpenAI Service, enabling natural language search capabilities within your SQL data. Use this approach to enhance e-commerce platforms, financial data analysis, or CRM systems while using SQL's granular access management controls to ensure that data searches and generated responses are limited to specific user permissions. ► QUICK LINKS: 00:00 - Generative AI for your SQL workloads 00:33 - Retrieval Augmented Generation 01:00 - Granular access management 01:15 - Enable natural language search 01:54 - Connect vectorized SQL data 02:20 - Test generative AI responses 02:41 - Wrap up   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Bring your MySQL workloads to run on Azure. Azure Database for MySQL - Flexible Server offers a powerful, fully managed solution for MySQL workloads, providing unique platform-level optimizations that significantly enhance connection scaling and cost performance. Ensure high efficiency and reduced latency for mission-critical applications for up to twice the performance of other offerings. The integration with Azure OpenAI Service and Azure AI Search further extends its capabilities, enabling intelligent vector-based search and generative AI responses for more accurate and relevant user queries. Join Parikshit Savjani, Azure Database for MySQL Principal Group PM, shares how Azure Database for MySQL - Flexible Server transforms traditional MySQL applications into high-performance, intelligent systems by combining the scalability and security of Azure with advanced AI-driven insights.   ► QUICK LINKS: 00:00 - Run MySQL on Azure 00:56 - Run your LAMP stack on Azure 01:24 - Accelerated Logs capability 03:02 - Vector-based search and generative AI 04:02 - Leverage Azure AI Search & Azure OpenAI services 04:29 - Establish database connection 05:52 - Build vector index 07:04 - Create an Indexer 07:32 - Semantic Search 07:54 - Test it in the Azure AI playground 08:49 - Wrap up   ► Link References  Check out https://aka.ms/mysql-resources   Join the community for Azure Database for MySQL at https://aka.ms/mysql-contributors   ► Unfamiliar with Microsoft Mechanics?  As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast   ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics  • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics

Is the future of cloud networking already here? Discover the breakthrough features of AWS CloudWan's service insertion, poised to redefine traffic redirection through security stacks. We'll look at its potential to enhance functionality and user control, drawing parallels to the Transit Gateway service inspection. We also honor the legacy of networking pioneer Nick Russo, whose contributions have left an indelible mark on the industry.Navigating the complex landscape of cloud security and AI development is no small feat. Join us as we scrutinize Adobe's recent controversies and their ripple effects on trust in major CSPs like AWS, GCP, and Azure. Plus, we'll highlight AWS GuardDuty's long-overdue malware protection for S3 buckets and discuss Cisco's new AI infrastructure specialization for the CCDE certification. Are these specialized certifications a game-changer or an unnecessary detour from broader certification tracks?Big moves are shaking up the AI-driven security space. Fortinet's acquisition of Lacework and Oracle's strategic partnership with OpenAI signal a seismic shift in cloud and AI integration. We unpack the valuation dynamics of Lacework and the competitive strategies behind Oracle's collaboration to bolster Microsoft's Azure AI platform. From GPU capacity challenges to the financial and technical hurdles of AI adoption, we'll explore how these developments could reshape cloud services and network infrastructure. Tune in for a comprehensive analysis that promises to leave you better informed and ready for what's next in the cloud and AI landscape.Check out the Fortnightly Cloud Networking NewsVisit our website and subscribe: https://www.cables2clouds.com/Follow us on Twitter: https://twitter.com/cables2cloudsFollow us on YouTube: https://www.youtube.com/@cables2clouds/Follow us on TikTok: https://www.tiktok.com/@cables2cloudsMerch Store: https://store.cables2clouds.com/Join the Discord Study group: https://artofneteng.com/iaatjArt of Network Engineering (AONE): https://artofnetworkengineering.com

Welcome back to another insightful episode of House of #EdTech! In Episode 246, we dive deep into the potential harms of generative AI with the knowledgeable Tom Mullaney. This episode promises to shed light on the complexities and ethical considerations surrounding the use of AI in education. #EdTech Thought Khan Academy and Microsoft Partnership: A Game-Changer for Education Khan Academy and Microsoft have recently partnered to revolutionize education with advanced AI tools. Here are the key highlights of this significant collaboration: Khanmigo for Teachers: Microsoft's donation of Azure AI infrastructure supports this AI-powered teaching assistant. It aims to save teachers time by aiding in lesson planning and personalizing education for students. Enhanced AI Tutoring: The partnership focuses on developing new small language models to improve AI tutoring capabilities, especially in math, making learning more efficient and tailored to individual needs. Integration with Microsoft Platforms: Khan Academy's resources will become more accessible through Microsoft's platforms such as Copilot and Teams for Education, expanding the reach and impact of these educational tools. Focus on Engagement: By making lesson plans more engaging, these tools aim to keep students interested and motivated in their learning journey. This initiative underscores a significant step towards leveraging AI to support educators and enhance student learning experiences, particularly in K-12 education. For a deeper dive into the details, you can read the full article here. Featured Content: Interview with Tom Mullaney Tom Mullaney brings a wealth of experience from his background in Special Education and Instructional Design to help teachers create inclusive and engaging lessons. He has spoken at national conferences like SXSW EDU, the National Council for the Social Studies, and ISTE. Tom shares his educational technology insights on his YouTube channel and SubStack. In our conversation, we cover several topics: Ethical Concerns and Pedagogical Impact The Eliza Effect in Classroom Dynamics Addressing and Overcoming AI Biases Promoting Critical Thinking Through AI Integration Future of AI and Teacher Preparedness Resources: Week of AI - Harms of AI: What the Hype Doesn't Tell You Emily Bender Timnit Gebru Margaret Mitchell Joy Buolamwini Gary Marcus

Scott Guthrie joins the show this week from Microsoft Build 2024 to discuss Microsoft being all-in on AI. From Copilot, to Azure AI and Prompty, to their developer first focus, leading GitHub, VS Code being the long bet that paid off, to the future of a doctor's bedside manner assisted with AI. Microsoft is all-in on AI and Build 2024's discussions and announcements proves it.

Host James Caton, and Deepak Khosla at LTIMindtree, discuss how the UN High Commission for Refugees uses Azure OpenAI to accelerate on-the-ground crisis response around the world, bringing hope and relief to the most vulnerable in their greatest time of need.  This episode covers: How implementing Azure AI in humanitarian organizations can have a significant impact on response times and efficiency. High-quality data is crucial for the success of AI projects. An agile approach allows for experimentation and scalability. Effective search capabilities and prompt engineering are key to obtaining accurate and relevant information. Change management and continuous monitoring are essential for successful implementation and user adoption. Learn More: About Microsoft AI About LTIMindtree More on these leaders: James Caton  Deepak Khosla #GenerativeAI  #Microsoft  #Azure  #AzureOpenAI  #Chatbot 

Hanh Brown hosts this podcast episode about Retrieval Augmented Generation (RAG) and its potential to help businesses in healthcare, legal, real estate, and other data-heavy industries. RAG combines large language models like GPT-4 with specific business data to provide accurate, personalized responses to customer questions. It can help businesses efficiently use their data, saving time and resources. For example, a healthcare chatbot with RAG could give personalized answers about Medicare coverage, and a real estate system could match listings to buyer preferences.The episode also discusses Azure AI services that can help implement RAG. Hanh encourages listeners to embrace this technology to fully leverage their data and improve efficiency.

In this episode of "Legal Document Processing with Azure AI," we discussed how Azure AI is transforming legal document processing. Legal professionals often grapple with the time-consuming task of manually handling extensive paperwork, which can lead to inefficiencies and errors. Azure AI introduces a robust solution by automating these processes, significantly enhancing productivity and accuracy in legal settings.We start with Azure Form Recognizer, a tool that automates data extraction from complex documents such as client intake forms. It uses optical character recognition (OCR) and advanced machine learning to quickly and accurately extract essential information, converting hours of manual data entry into minutes.Next, we explore Azure Cognitive Search, which revolutionizes document retrieval by using natural language processing to understand the context and semantics of queries, delivering highly relevant search results.Additionally, we discuss the role of Azure Cosmos DB in providing scalable and secure document storage solutions, ensuring compliance and efficient data retrieval.Lastly, Azure Functions automate complex document processing tasks, allowing legal professionals to focus on more strategic work. This episode underscores the necessity of adopting AI technologies to enhance legal practices.

In this episode of "Intelligent Chatbots Powered by Azure," we explore how they are revolutionizing customer support. Our host, Hanh Brown, guides us through the significant benefits these chatbots offer, such as 24/7 customer engagement, personalized responses, and streamlined support operations. We discuss the integration of Azure's advanced AI capabilities, which allow chatbots to understand and interact with users in a more human-like manner, enhancing customer satisfaction and operational efficiency.Throughout the episode, real-world applications and case studies are highlighted to demonstrate how businesses across various industries have successfully implemented Azure-powered chatbots to solve common customer support challenges. We also cover best practices for deploying these chatbots, ensuring they align with business objectives and deliver maximum value.By the end of the episode, listeners are equipped with a clear understanding of how to leverage Azure chatbot technology to elevate their customer service and gain a competitive edge in today's digital marketplace.

Everyone's an AI-powered startup nowadays. So how can you actually stand out and build a product or service that matters? Tibo Louis-Lucas knows a thing or two about building successful companies. He co-founded both Taplio and Tweethunter, two Saas products powered by AI that were sold for over $10 million. So how can your product or service stand a chance when just about everyone's an AI company? Let's dive in.  Newsletter: Sign up for our free daily newsletterMore on this Episode: Episode pageJoin the discussion: Ask Jordan and Tibo questions on AI and startupsRelated Episodes:Ep 196: The Silent AI Productivity Killer – Why companies can't fully leverage AIEp 126: Real Business Use Cases for AITomorrow' Show: 7 steps on how to ACTUALLY use ChatGPT in 2024Upcoming Episodes: Check out the upcoming Everyday AI Livestream lineupWebsite: YourEverydayAI.comEmail The Show: info@youreverydayai.comConnect with Jordan on LinkedInTimestamps:02:00 Daily AI News04:45 About Tibo and Taplio07:15 Building Taplio13:06 Unconventional partnership approach for growth.15:30 Excitement for creator economy, small product acquisitions.18:00 AI's capabilities and impact on startups22:14 Pressure to keep up with rapid AI changes.24:10 Opportunities for automation in companies, social media.Topics Covered in This Episode:1.  Leveraging AI in Startup Development2. Successfully Building and Growing AI Startups3. The Future of AI and Potential Product Development4. Key Advice for Young EntrepreneursKeywords:AI startup, stand out, generative AI, livestream, podcast, newsletter, Microsoft, Azure AI, Mistral, partnership, OpenAI, TechCrunch, European Commission, Apple, wearables, smart glasses, AirPods, Bloomberg, innovation, tech, science, culture, 11 Labs, Perplexity, Discover Daily, Tivo Louis Lucas, CTO, Taplio, tweet hunter, Lemnist, products, startups, video editing software, visualization AI.