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Latest episodes

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Jul 17, 2024 • 37min

The Power of Data in the Cloud with Arun Ulag

How has the cloud transformed the way we work with data? While at Build in Seattle, Richard sat down with Arun Ulag, Microsoft CVP of Azure Data, to discuss how the cloud has transformed how we work with data. The pre-cloud practice of extract-transform-and-load into OLAP cubes has given way to the data lake - you don't need to pre-process data if you have all the compute you need on demand. Arun goes further into empowering analysts using tools like PowerBI - but the key is access to data. With Microsoft Fabric, data lives in OneLake - or anywhere through links! Today, the data analytics landscape spans different product stacks and clouds - but all are available to learn more about your business!Links:PowerBIPivot Tables in ExcelOne LakeApache IcebergSnowflakeDatabricksRecorded May 22, 2024
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Jul 10, 2024 • 34min

The Hardware of Azure with Rani Borkar

Rani Borkar discusses Azure hardware, including Cobalt ARM processor for cloud workloads and Maia processor for neural net tasks in the cloud. Specialized hardware in Azure meets diverse workloads, with a focus on continuous improvement, evolution of cooling techniques, and balancing performance with power efficiency in chip design.
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Jul 3, 2024 • 35min

NGINX as a Service with Buu Lam

F5's Buu Lam discusses NGINX as a Service in Azure, highlighting benefits like simplified infrastructure, auto-scaling, and premium features. The evolution of NGINX technology into a service model on Azure marketplace enhances monitoring tools integration and revenue generation. Managing configurations in a multi-cloud environment, SSL/TLS decryption advantages, and networking services evolution with Nginx and F5 are also explored.
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Jun 26, 2024 • 35min

The Hard Part of Machine Learning with Lynn Langit

Expert Lynn Langit discusses the challenges of using machine learning to improve patient outcomes at Mayo Clinic. She highlights the complexities of multi-modal data analytics, testing machine learning models, and the importance of focusing on fundamentals before advanced goals. The conversation explores practical applications in bioinformatics, statistical tests for machine learning, and the impact of new technologies like Gemini in Google Cloud on productivity and collaboration.
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Jun 19, 2024 • 37min

Microsoft Defender for Cloud with Yuri Diogenes

Have you rolled out Microsoft Defender for Cloud? Richard chats with Yuri Diogenes about the bundle of tools under the Defender for Cloud moniker. Yuri describes Defender for Cloud as a Cloud-Native Application Protection Platform (CNAPP). This Gartner term covers the various elements that go into a cloud-native application, including APIs, servers, containers, storage, resource manager, and more! Defender for Cloud integrates with Microsoft Purview to understand data sensitivity, and Microsoft Sentinel helps detect breaches or data misuse. It also offers attack path analysis and remediation so you can get ahead of the attackers to close off potential breach risks before they happen! Check the links in the show notes for great resources, including an ebook on CNAPP strategy!LinksDefender for CloudOWASP Top 10 API Security RisksDefender for APIsMicrosoft SentinelData Security DashboardAttack PathsMicrosoft PurviewCloud Security Posture ManagementMicrosoft Copilot for SecuritySecurity Remediation with GovernanceDefender for Cloud ServiceNow IntegrationCNAPP Strategy EbookRecorded May 13, 2024
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Jun 12, 2024 • 47min

Copilot in your Intranet with Susan Hanley

In this episode, Intranet expert Susan Hanley discusses using Microsoft Copilot to enhance intranets, focusing on data organization and creating domain-specific Copilots. The early stages of Copilots present challenges, but the potential for improved intranet functionality is promising.
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Jun 5, 2024 • 38min

Apple and Microsoft Entra with Michael Epping

Guest Michael Epping talks about Entra's new Apple device authentication features. They discuss Apple's Secure Enclave, Entra Platform SSO for Azure resources, and upcoming releases for seamless access to enterprise resources.
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May 29, 2024 • 33min

PowerApp Extensibility with Christina Wheeler

How can you use PowerApps to extend the functionality of other apps? Richard talks to Christina Wheeler about her efforts to teach folks to use PowerApps to add the functionality they need to Dynamics 365 and elsewhere! Christina talks about her move to Microsoft, shifting from SharePoint to PowerApps, but still essentially doing the same thing - finding customer solutions. The conversation ranges over the power of the Dataverse to provide access to all sorts of data and the emerging role of the Microsoft Copilot Studio to build custom copilots for your organization. LinksDataverseConnect to Dynamics 365 from Power AppsXrmToolboxModel-Driven Apps in Power AppsCanvas Apps in Power AppsMicrosoft Power FxMicrosoft Copilot StudioMicrosoft Bot FrameworkAI CopilotPower Up ProgramPower Platform ConferenceRecorded April 26, 2024
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May 22, 2024 • 46min

The End of Windows 10 with Paul Thurrott

Tech journalist and Windows expert Paul Thurrott discusses the end of life for Windows 10, potential extension of support, Windows 365, Azure Virtual Desktop, and speculation about Windows 12. The conversation covers Microsoft's data collection policies, AI technology shift, and the evolution of Windows in the cloud era, including subscription services and work separation using cloud instances. Speculation on Microsoft's future plans and the potential for a paid, ad-free version of Windows.
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May 15, 2024 • 33min

MLOps + DevOps + Kubernetes with Annie Talvasto

Machine learning models need updating - what's the reliable way to do it? While in Romania, Richard sat down with Annie Talvasto to talk about her work helping to build DevOps practices around machine learning: Building repeatable processes for data ingestions, cleaning, organization, model building, and deployment. The challenges are the arrays of skilled people needed to operate and evaluate the pipeline - it takes domain experts to know if the machine learning results are accurate and valuable. Tooling can help, but it is only in the early days. If your organization is keen to get machine learning into the company, you need to do some careful planning!LinksJupyter NotebookPandasMLFlowAzure Machine LearningRecorded April 20, 2024

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