Episodit
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Check out new AI integrations for your Azure SQL databases. With Retrieval Augmented Generation, you can bridge structured data with generative AI, enhancing natural language queries across applications. With advanced vector-based semantic search, discover precise insights tailored to your data, while Copilot in Azure streamlines troubleshooting and T-SQL query authoring. Optimize workflows, personalize responses, and unlock new levels of efficiency in SQL-driven AI applications.
Accelerate performance troubleshooting and complex query authoring tasks with Copilot in Azure. Quickly diagnose database issues and receive expert recommendations for optimization, ensuring optimal performance and reliability. Seamlessly traverse hierarchies within tables and generate intricate queries with ease, saving time and resources.
Bob Ward, Azure Principal Architect, shows how to unleash the full potential of your SQL data, driving innovation and intelligence across your applications.
► QUICK LINKS:
00:00 - AI and Azure SQL
01:40 - Using T-SQL for search
02:30 - Using Azure AI Search
03:17 - Vector embeddings and skillsets
04:08 - Connect your SQL data to an AI app
05:44 - Test it in Azure OpenAI Studio playground
07:22 - Combine native JSON data type in SQL
08:30 - Hybrid search
09:56 - Copilot in Azure: Performance troubleshooting
11:11 - Copilot in Azure: Query authoring
12:24 - Permissions
12:40 - Wrap up► Link References
For building AI apps, check out https://aka.ms/sqlai
Try out new copilot experiences at https://aka.ms/sqlcopilot
► Unfamiliar with Microsoft Mechanics?
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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.
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Use your files, emails, chats and meeting information automatically or with direct references using Copilot prompts in Microsoft 365 apps. You don't need to copy information then paste it into a browser tool or upload work files and images into other generative AI experiences. Instead, directly from Teams, Word, PowerPoint and other Microsoft 365 apps, you can leverage not only your opened file, email, chat or meeting, but also other work data that you have permissions to in SharePoint and OneDrive. Copilot retrieves and synthesizes information across emails, chats, and files, so you can generate presentations, respond to emails, and catch up on meetings. The Copilot process also follows your organization's policies for data protection and compliance, eliminating the need and added risk of bringing your work data to those tools.
Mary David Pasch, Principal Product Manager from the Copilot Platform team, joins Jeremy Chapman to share how Copilot enhances collaboration and efficiency, making complex tasks like document creation and information retrieval effortless and secure.
► QUICK LINKS:
00:00 - Leverage your work data with Copilot
00:51 - How Copilot augments your prompts
02:22 - Automatically works across your files
03:03 - Meeting recaps with Copilot in Teams
03:59 - Meeting summaries with Copilot in Teams
04:57 - Incorporate specific info from work data
06:53 - Convert written docs to PowerPoint presentations
09:07 - Recommended prompts
10:29 - Standalone Copilot chat experience
12:11 - Stay within your Microsoft 365 data security boundary
12:39 - Wrap up► Link References
For more go to Copilot Lab at https://copilot.cloud.microsoftWatch our full series on Microsoft Mechanics at https://aka.ms/M365CopilotMechanics
► Unfamiliar with Microsoft Mechanics?
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Improve search capabilities for your PostgreSQL-backed applications using vector search and embeddings generated in under 10 milliseconds without sending data outside your PostgreSQL instance. Integrate real-time translation, sentiment analysis, and advanced AI functionalities securely within your database environment with Azure Local AI and Azure AI Service. Combine the Azure Local AI extension with the Azure AI extension to maximize the potential of AI-driven features in your applications, such as semantic search and real-time data translation, all while maintaining data security and efficiency.
Joshua Johnson, Principal Technical PM for Azure Database for PostgreSQL, demonstrates how you can reduce latency and ensure predictable performance by running locally deployed models, making it ideal for highly transactional applications.
► QUICK LINKS:
00:00 - Improve search for PostgreSQL
01:21 - Increased speed
02:47 - Plain text descriptive query
03:20 - Improve search results
04:57 - Semantic search with vector embeddings
06:10 - Test it out
06:41 - Azure local AI extension with Azure AI Service
07:39 - Wrap up► Link References
Check out our previous episode on Azure AI extension at https://aka.ms/PGAIMechanics
Get started with Azure Database for PostgreSQL - Flexible Server at https://aka.ms/postgresql
To stay current with all the updates, check out our blog at https://aka.ms/azurepostgresblog
► 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.
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Ensure high-accuracy, efficient vector search at massive scale with Azure Cosmos DB. Leveraging Microsoft’s DiskANN, more IO traffic moves to disk to maximize storage capacity and enable high-speed similarity searches across all data, reducing memory dependency. This technology, powering global services like Microsoft 365, is now integrated into Azure Cosmos DB, enabling developers to build scalable, high-performance applications with built-in vector search, real-time fraud detection, and robust multi-tenancy support.
Join Kirill Gavrylyuk, VP for Azure Cosmos DB, as he shares how Azure Cosmos DB with DiskANN offers unparalleled speed, efficiency, and accuracy, making it the ideal solution for modern AI-driven applications.
► QUICK LINKS:
00:00 - Latest Cosmos DB optimizations with DiskANN
02:09 - Where DiskANN approach is beneficial
04:07 - Efficient querying
06:02 - DiskANN compared to HNSW
07:41 - Integrate DiskANN into a new or existing app
08:39 - Real-time transactional AI scenario
09:29 - Building a fraud detection sample app
10:59 - Vectorize transactions for anomaly detection
12:49 - Scaling to address high levels of traffic
14:05 - Manage multi-tenancy
15:35 - Wrap up► Link References
Check out https://aka.ms/DiskANNCosmosDB
Try out apps at https://aka.ms/DiskANNCosmosDBSamples
► Unfamiliar with Microsoft Mechanics?
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Quickly spot real-time indicators of issues as they unfold, without the need to poll or manually monitor changes in your data and without writing a single line of code. That’s what the new Real-Time Intelligence service in Microsoft Fabric is all about. It extends Microsoft Fabric to the world of streaming data across your IoT and operational systems. Whether you are a data analyst or business user, you can easily explore high-granularity, high-volume data and spot issues before they impact your business. And as a Data engineer, you can more easily track system level changes across your data estate to manage and improve your pipelines.
Courtney Berg, from the Microsoft Fabric product team, joins Jeremy Chapman to explore all of the updates, explain how Real-Time Intelligence adds to what was possible with Data Activator and Microsoft Synapse Real-Time Analytics and demonstrates how this would work to derive insights and take actions automatically in a scenario with multiple live data streams across different data types.
► QUICK LINKS:
00:00 - Real-Time Intelligence
00:54 - How it’s different
02:07 - Eventstream and Real-Time Hub
03:27 - Synapse Real-Time Analytics
04:03 - See it in action
05:25 - Use Copilot to stay updated
06:28 - Filter data and set up alerts
08:25 - Sophisticated Logic and Data Integration
09:48 - Data integration to Real-Time Hub
11:23 - Workflow automation
12:18 - System events
13:30 - Additional areas of use for Real-Time Intelligence
14:02 - Wrap up► Link References
Check out Real-Time Intelligence at https://aka.ms/RealTimeIntelligence
For all things Microsoft Fabric, go to https://microsoft.com/fabric
► Unfamiliar with Microsoft Mechanics?
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Optimize the sales process by integrating internal and external data with Copilot for Sales. Create enriched email summaries, customized meeting prep documents, and actionable meeting recaps to improve customer interactions. Copilot uses AI to generate insights and suggest actions based on comprehensive data, ensuring sales teams have all the necessary information at their fingertips. Create custom AI experiences using Copilot Studio with zero code. By adding Copilot extensions, users can connect to external data sources and build tailored AI skills.
Eric Boocock, Copilot for Sales Principal Program Manager, shares how Copilot for Sales works and how to build Copilot extensions to connect with other systems for personalized experiences.
► QUICK LINKS:
00:00 - Copilot for Sales
00:36 - Baseline experiences
02:13 - Bring in external data
03:26 - Use Copilot to respond to emails
03:54 - Meeting prep and meeting recap
04:52 - Security and Responsible AI
06:27 - Copilot extensions
09:09 - Publish Copilot extensions
09:40 - Wrap up► Link References
Check out https://aka.ms/CopilotforSalesExtensibility
Stay updated on monthly releases at https://aka.ms/CopilotforSalesUpdates
► Unfamiliar with Microsoft Mechanics?
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Now you can build your own highly specialized copilot using Microsoft Copilot Studio or Visual Studio Code. See how you can tailor Copilot for Microsoft 365 experiences to focus on specific tasks and use external data integration through Copilot extensions. Enhance productivity by leveraging large language models and Microsoft Graph for personalized responses. With plugins and connectors, extend Copilot's capabilities to streamline tasks and automate actions, all while maintaining context and boosting efficiency.
Abram Jackson, Principal Product Manager for Microsoft 365 shows how you can get started building Copilot extensions.
► QUICK LINKS:
00:00 - Copilot extensions
01:08 - Types of Copilot extensions
01:59 - Microsoft Graph connectors
03:20 - Plugins
04:14 - Specialized copilot
04:54 - Multiple customized copilots working together
05:42 - How to build Copilot extensions
06:45 - Plug into data-external or inside of Microsoft 365
07:31 - IDE/Visual Studio Code
08:57 - Wrap up► Link References
To get started, check out https://copilotstudio.microsoft.com
► Unfamiliar with Microsoft Mechanics?
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Microsoft has built the world’s largest cloud-based AI supercomputer that is already exponentially bigger than it was just 6 months ago, paving the way for a future with agentic systems.
For example, its AI infrastructure is capable of training and inferencing the most sophisticated large language models at massive scale on Azure. In parallel, Microsoft is also developing some of the most compact small language models with Phi-3, capable of running offline on your mobile phone.
Watch Azure CTO and Microsoft Technical Fellow Mark Russinovich demonstrate this hands-on and go into the mechanics of how Microsoft is able to optimize and deliver performance with its AI infrastructure to run AI workloads of any size efficiently on a global scale.
This includes a look at: how it designs its AI systems to take a modular and scalable approach to running a diverse set of hardware including the latest GPUs from industry leaders as well as Microsoft’s own silicon innovations; the work to develop a common interoperability layer for GPUs and AI accelerators, and its work to develop its own state-of-the-art AI-optimized hardware and software architecture to run its own commercial services like Microsoft Copilot and more.
► QUICK LINKS:
00:00 - AI Supercomputer
01:51 - Azure optimized for inference
02:41 - Small Language Models (SLMs)
03:31 - Phi-3 family of SLMs
05:03 - How to choose between SLM & LLM
06:04 - Large Language Models (LLMs)
07:47 - Our work with Maia
08:52 - Liquid cooled system for AI workloads
09:48 - Sustainability commitments
10:15 - Move between GPUs without rewriting code or building custom kernels. 11:22 - Run the same underlying models and code on Maia silicon
12:30 - Swap LLMs or specialized models with others
13:38 - Fine-tune an LLM
14:15 - 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.
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Use Postgres as a managed service on Azure. As you build generative AI apps, explore advantages of Azure Database for Postgres Flexible Server such as integration with Azure AI services, as well as extensibility and compatibility, integrated enterprise capabilities to protect data, and controls for managing business continuity.
Charles Feddersen, product team lead for Postgres on Azure, joins host Jeremy Chapman to share how Flexible Server is a complete Postgres platform for enterprise and developers.
► QUICK LINKS:
00:00 - Azure Database for PostgreSQL Flexible Server
00:51 - Microsoft and Postgres
01:40 - Open-source Postgres
03:18 - Vector embeddings for data
04:32 - How it works with an app
06:59 - Azure AI Vision
08:14 - Azure AI extension using PostgreSQL
09:37 - Text generation using Azure AI extension
10:30 - High availability and disaster recovery
12:45 - Wrap up► Link References
Get started with the Azure Database for Postgres flexible server at https://aka.ms/postgresql
Stay current with all the updates at https://aka.ms/AzurePostgresBlog
► Unfamiliar with Microsoft Mechanics?
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#PostgreSQL #OpenSource #Azure #Database -
Prioritize incidents based on data significance, detect insider risks, and adapt protections in real-time with Microsoft Defender XDR and Microsoft Purview. Customize thresholds and risk indicators to detect anomalous behavior and prevent potential breaches with Adaptive Protection. Receive real-time DLP alerts triggered by policy matches, ensuring immediate action to safeguard sensitive data. Gain comprehensive visibility into threats and enforce policies across all devices and applications.
Sravan Kumar Mera, Principal Product Manager for Microsoft Purview shares how to stay ahead of evolving threats and maintain data integrity.
► QUICK LINKS:
00:00 - Prioritize security incidents based on data importance
00:42 - High severity multistage incident
01:29 - DLP alerts
02:24 - Insider risk activity summary
03:30 - Set up data security foundation
04:47 - Adaptive Protection
05:50 - DLP policy & Conditional Access
06:33 - Wrap up► Link References
Get started at https://purview.microsoft.com
Watch our data security playlist at https://aka.ms/datasecuritymechanics
► Unfamiliar with Microsoft Mechanics?
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Build low-latency recommendation engines with Azure Cosmos DB and Azure OpenAI Service. Elevate user experience with vector-based semantic search, going beyond traditional keyword limitations to deliver personalized recommendations in real-time. With pre-trained models stored in Azure Cosmos DB, tailor product predictions based on user interactions and preferences. Explore the power of augmented vector search for optimized results prioritized by relevance.
Kirill Gavrylyuk, Azure Cosmos DB General Manager, shows how to build recommendation systems with limitless scalability, leveraging pre-computed vectors and collaborative filtering for next-level, real-time insights.
► QUICK LINKS:
00:00 - Build a low latency recommendation engine
00:59 - Keyword search
01:46 - Vector-based semantic search
02:39 - Vector search built-in to Cosmos DB
03:56 - Model training
05:18 - Code for product predictions
06:02 - Test code for product prediction
06:39 - Augmented vector search
08:23 - Test code for augmented vector search
09:16 - Wrap up► Link References
Walk through an example at https://aka.ms/CosmosDBvectorSample
Try out Cosmos DB for MongoDB for free at https://aka.ms/TryC4M
► Unfamiliar with Microsoft Mechanics?
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Leverage FinOps in Azure to optimize your cloud spend and drive accountability across your organization. With Microsoft Cost Management, gain complete visibility into your cloud costs, track spending by department or project, and forecast future expenses. Utilize management groups, subscriptions, and tags to organize costs and allocate resources efficiently, ensuring alignment with organizational priorities.
Make informed decisions with proactive cost reduction recommendations from Azure Advisor and architectural best practices like Azure Landing Zones. Operationalize FinOps practices with centralized management focus and continuous evaluation through the FinOps Review assessment.
Azure expert, Matt McSpirit, shows how to improve your organization's capability and operational agility with FinOps on Azure.
► QUICK LINKS:
00:00 - Improve control on Azure through FinOps
01:01 - Gain visibility and accountability over Cloud spend
02:11 - Track and report spending
03:28- How to track costs
04:14 - Tagging resources
05:57 - Optimized efficiency
07:02 - Maintain FinOps practices
08:05 - Wrap up► Link References
How to implement FinOps on Azure at https://aka.ms/FinOps
Leverage Cloud Adoption Framework guidance at https://aka.ms/C-A-F-Tagging
Click-through demos at https://aka.ms/finops/guides
FinOps Review assessment at https://aka.ms/finops/review
Start using Microsoft Cost Management at https://aka.ms/CostManagement
► Unfamiliar with Microsoft Mechanics?
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Roll out Microsoft Copilot for Microsoft 365 at scale in three quick steps. See the methods for each to efficiently enable Copilot services:
Optimize Search with data controls in place to limit exposure of information in search. Update Your Apps—both on desktop and mobile—so they are ready for integrated Copilot experiences. Grant Access to Copilot services quickly to large groups in your organization via Microsoft Entra controls.We're also introducing a new capability with Restricted SharePoint Search, which enables SharePoint administrators to define the sites where every user in the organization is allowed to files and data using search, without impacting access to sites and files for people working in sites, which are not allowed for everyone to search.
With Copilot for Microsoft 365 services in place, track adoption and impact, and see how different groups in your organization are benefitting from Copilot services with the Microsoft Copilot Dashboard powered by Viva Insights. Now, even if you don't currently own Viva Insights, there is an offer for Microsoft Copilot customers to get these services included with your Copilot subscription: https://www.microsoft.com/en-us/microsoft-365/blog/2024/04/11/enabling-your-ai-transformation-journey-with-microsoft-viva/
► QUICK LINKS:
00:00 - Steps to deploy Copilot for Microsoft 365
01:01 - How to quickly optimize search
02:24 - How to set up Restricted SharePoint Search
03:23 - Update Microsoft 365 apps on managed devices
05:34 - Grant access to Copilot services
06:20 - Copilot Dashboard included with any Microsoft 365 subscription
07:00 - Copilot Dashboard powered by Viva Insights subscription
08:38 - Wrap Up► Link References:
Get started at https://aka.ms/DeployCopilotforM365
Watch how to get ready for Copilot at https://aka.ms/CopilotSecurityMechanics
For more resources go to https://adoption.microsoft.com/copilot
► 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.
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Run Linux workloads on Azure for reliability, security, and innovation. Build your entire app in Azure, using Linux and open source services. Choose from a wide range of Linux distributions, leverage cost-saving benefits with Azure Hybrid Benefit, and get seamless integration with distros like SUSE, Ubuntu, and Red Hat.
Join Azure expert, Matt McSpirit as he shares why you should run your Linux workloads on Azure, and how to ensure security of sensitive data with AI-driven threat detection, Defender for Cloud, and Confidential Computing.
► QUICK LINKS:
00:00 - Run Linux workloads on Azure
00:26 - Open source distribution
02:44 - Build apps in Azure using open source technologies
03:40 - Limitless scaling and reliability
05:40 - Deploy, manage, and extend Linux workloads on Azure
06:53 - Red Hat integration
07:40 - Open source options for compute
08:32 - Extend and modernize app experiences
09:02 - Security advantages for Linux workloads
09:47 - Wrap Up► Link References:
Get started with Linux on Azure at https://azure.com/linux
► 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
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Ensure peak performance, security and compatibility with Azure for Red Hat Enterprise Linux. Leverage Azure Migrate to transition on-prem Linux VMs to Azure, for cloud-native or hybrid deployment. Deploy and orchestrate infrastructure with Azure Resource Manager templates, Terraform, and Ansible playbooks. Uncover cost-saving opportunities and performance optimization tools, and benefit from license portability, commitment-based discounts, and diverse compute options, including Azure Confidential Computing VMs, for enhanced scalability and efficiency. Experience flexibility with Azure, enabling RHEL workloads to run across global regions and edge locations, with Azure Arc providing centralized management and security for hybrid environments.
Join Azure expert, Matt McSpirit, as he shares why Azure is the right place to run your Red Hat Enterprise Linux workloads.
► QUICK LINKS:
00:00 - Why run Red Hat Enterprise Linux workloads on Azure?
01:10 - Integration
01:41 - Automated scripting or code-based options
02:09 - Beyond provisioning
02:31 - Customer support
03:07 - Efficiency- optimize your spend
04:28 - Increase performance and scalability
05:41 - Flexibility
06:26 - Update management
06:40 - Wrap Up► Link References:
See the Forrester Consulting study at https://aka.ms/RHELTEI
For additional information check out https://aka.ms/RedHatAzure
► 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
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A unified solution for comprehensive data protection with Microsoft Fabric and Microsoft Purview. Extend the security measures of Microsoft 365 to your schematized data, ensuring consistent protection across your entire data estate. From detecting insider risks to mitigating data loss and unauthorized sharing, leverage advanced visibility and control to safeguard sensitive information effectively.
Daniel Hidalgo, Microsoft Purview Product Manager, shares how to simplify your security strategy and gain deeper insights into data risks.
► QUICK LINKS:
00:00 - Unified solution to prevent data loss and detect data risk
01:36 - Microsoft Fabric experience
02:53 - Confidential labels are automatically inherited
03:16 - Detect sensitive information with DLP policies
04:03 - Create and publish a label
04:59 - Define protections
05:50 - Data Loss Prevention experience in Microsoft Purview
06:57 - Insider Risk Management with Microsoft Fabric
07:39 - Visibility of sensitive data with Microsoft Purview
08:19 - Wrap Up► Link References:
Check out https://aka.ms/PurviewforFabric
Watch our shows on Insider Risk Management, check out https://aka.ms/IRMMechanics
► 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
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The new Microsoft Surface Pro 10 and the latest Surface Laptop 6 are versatile AI PCs built for business. With the new Microsoft Copilot key built-in, you get quick access to Copilot AI experiences, so you can work smarter, be more productive, and boost creativity. Both are powered by the latest Intel Core Ultra processors, with integrated CPU and GPU, as well as a neural processing unit (NPU) for powering new AI experiences without affecting the CPU.
Both devices feature Windows Hello Enhanced Sign-in Security, perfect for multi-factor authentication; and Surface Pro 10 now has a built-in NFC card reader in Wi-Fi models, plus select Surface Laptop 6 15" models have a built-in smart card reader for more authentication options. The Surface Laptop 6 has options for powerful Intel Core Ultra H-Series processors with integrated Intel Arc graphics.
► QUICK LINKS:
00:00 - What's new for Surface Pro 10 and Surface Laptop 6
00:10 - Microsoft Copilot key built-in
00:33 - Security updates in Surface Pro 10 and Surface Laptop 6
01:09 - Versatility updates with Surface Pro 10 and Surface Laptop 6
01:52 - Performance updates with Surface Pro 10 and Surface Laptop 6
02:15 - Cloud PC experiences built in to Surface Pro 10 and Surface Laptop 6
02:46 - Management controls updated for Surface Pro 10 and Surface Laptop 6
04:04 - Repairability updates with Surface Pro 10 and Surface Laptop 6
04:26 - Surface Pro 10 and Surface Laptop 6 are built for business and AI
04:40 - Wrap Up► Link References:
Check out https://surface.com/business
► 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
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Protect your organization from insider threats with Microsoft Entra's Conditional Access and Adaptive Protection in Microsoft Purview. Automatically block access to critical assets when insider risk levels elevate, ensuring data security and compliance seamlessly. Set up custom policies based on risk levels and enforce strong authentication measures, safeguarding against data breaches. Gain control and visibility over insider activities without manual intervention, empowering proactive security measures.
Erin Miyake, Microsoft Purview’s Principal Product Manager shares how to enhance your data protection strategy.
► QUICK LINKS:
00:00 - Insider Risk in Conditional Access
00:41 - Extend Conditional Access
01:20 - Privacy-first approach
01:56 - Configure policy indicators
03:21 - Adapt protections based on changing risk
04:13 - Set custom policies
05:27 - Set a Conditional Access policy for moderate risk users
06:12 - Insider risk level changing over time
07:04 - Wrap Up► Link References:
For more about the policies you can set up go to https://aka.ms/IRM MechanicsGet started today at https://aka.ms/adaptiveprotection
Watch our series on Insider Risk Management at https://aka.ms/IRMMechanics
► 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:
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Protect data while getting the benefits of generative AI with Microsoft Defender for Cloud Apps and Microsoft Purview. Safeguard against shadow IT risks with Microsoft Defender for Cloud Apps, unveiling hidden generative AI applications. Leverage Microsoft Purview to evaluate data exposure, automating policy enforcement for enhanced security. Ensure compliance with built-in data protections in Copilot for Microsoft 365, aligned with organizational policies set in Microsoft Purview, while maintaining trust and mitigating risks seamlessly across existing and future cloud applications.
Erin Miyake, Microsoft Purview's Principal Product Manager, shares how to take a unified approach to protecting your data.
► QUICK LINKS:
00:00 - Secure your data for generative AI
01:16 - App level experiences
01:46 - Block based on data sensitivity
02:45 - Admin experience
03:57 - Microsoft Purview AI Hub
05:08 - Set up policies
05:53 - Tailor policies to your needs
06:35 - Set up AI Hub in Microsoft Purview
07:09 - Wrap Up► Link References:
For information on Microsoft Defender for Cloud Apps go to https://aka.ms/MDACheck out Microsoft Purview capabilities for AI go to https://aka.ms/PurviewAI/docs
Watch our episode on Copilot for Microsoft 365 data protections at https://aka.ms/CopilotAdminMechanics
Watch our episode about Data Loss Prevention policy options at https://aka.ms/DLPMechanics
► 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:
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