Taswar Bhatti
The synonyms of software simplicity
Claude Opus 4.8 is now available in Microsoft Foundry

There are a lot of AI model announcements these days, but every now and then one lands that feels immediately practical for real engineering work.

Claude Opus 4.8 showing up in Microsoft Foundry feels like one of those releases.

Microsoft is positioning Claude Opus 4.8 around coding, agentic workflows, and deeper reasoning for enterprise scenarios, while Anthropic describes it as their most intelligent generally available Opus model for coding and agents.

What makes this interesting is not just “the benchmark number went up again.” The more important part is that these newer models are getting better at actual developer workflows:

  • reasoning across multiple files
  • maintaining context longer
  • handling multi-step tasks
  • recovering from mistakes
  • following structured instructions
  • working more reliably in tooling pipelines

That is a pretty different problem space compared to “generate a todo app in one prompt.”

And honestly, that is where most teams are today.


The shift from “AI chatbot” to “AI teammate”

A lot of developers already use AI for small tasks:

  • regex generation
  • boilerplate APIs
  • unit tests
  • SQL queries
  • debugging weird errors at 2AM

But the new generation of models is moving into a more interesting space: helping with systems-level work.

Think things like:

  • reviewing architecture decisions
  • planning refactors
  • migrating legacy code
  • analyzing logs and incident summaries
  • understanding large repositories
  • generating implementation plans instead of isolated snippets

That is the type of workload Claude Opus 4.8 seems designed for. Microsoft’s Foundry blog specifically calls out longer-running tasks, deeper reasoning, and more reliable tool use for agentic workflows.

And if you are already building internal copilots or AI-assisted engineering workflows, having this available inside Microsoft Foundry means you can evaluate it alongside other models without building ten different integration layers.


Let’s build something real with C# with EntraID

Enough marketing though.

Let’s actually call Claude Opus 4.8 from a .NET console app using the Azure AI Inference SDK.

This is the official SDK Microsoft documents for Azure AI Foundry model inference. It supports chat completions for Foundry-hosted models using ChatCompletionsClient

This sample keeps things simple:

  • console app
  • DefaultAzureCredential
  • BearerTokenPolicy
  • no API key
  • a realistic prompt that asks Claude to help modernize a messy ASP.NET Core API

Create the project and add your endpoint to environment variables

Program.cs


Final thoughts

Claude Opus 4.8 in Microsoft Foundry looks genuinely interesting for developers because it is not only being framed as a better model — it is being framed as a better model for the kind of work developers actually do:

  • coding with context
  • multi-step problem solving
  • architecture-aware suggestions
  • agentic workflows
  • professional and enterprise reasoning

That is a much better story than “new model, now with extra adjectives.”

If your team already lives in Azure, already experiments with coding assistants, or is building internal AI tooling, this is definitely one worth trying.

Resources

Claude Opus 4.8 is now available in Microsoft Foundry Blog
Model Card

Azure 5 Highlights Thursday

Published: 2026-05-20
Source: https://www.linkedin.com/pulse/5-highlights-thursday-21st-may-2026-111-edition-taswar-bhatti-kwige

Here is the #111 edition of 5 Highlights Thursday. I hope this newsletter will help you in your Azure journey and keep you informed. Feel free to forward this along to anyone who you think may enjoy or better ask them to subscribe.

1. STATE-Bench – Memory-agnostic Benchmark

Join
Jorge Arteiro, Lewis Liu, Pablo Castro and Nishant Yadav where they introduce STATE-Bench is a new open-source benchmark designed to measure whether memory actually improves AI agent performance on realistic, stateful enterprise tasks. Instead of testing simple recall, it evaluates how agents handle procedural workflows, reliability across repeated runs, efficiency, and user experience in domains like customer support, travel, and shopping. In this episode, we’ll explore why traditional memory benchmarks fall short, how STATE-Bench closes that gap, and what it means to “bring your own memory” to a benchmark built for production readiness.

2. Estimate costs with confidence using the new Sentinel Cost Estimator

Join Product Manager Shubh Khandhadia who introduces the new Microsoft Sentinel Cost Estimator, a web-based tool on the Microsoft Sentinel pricing page that helps sellers, customers, and partners estimate costs before deployment. Learn how to access and use the estimator, model ingestion, storage, and query costs, understand key meters and included benefits, and build 3-year projections to support more effective long-term planning.

3. Grok 4.3 in Microsoft Foundry: A Practical C# Guide for Developers

Content: Grok 4.3 in Microsoft Foundry: A Practical C# Guide for Developers – Taswar Bhatti

Here is a blog post I wrote about Grok 4.3 with sample code in C# on how to use it. Check it out and tell me what you think?

4. Security Copilot chat experience in Microsoft Defender

Join Senior Product Manager Yuval Derman for this episode to discuss the Security Copilot chat experience in Microsoft Defender and how assistive AI is transforming modern security operations. Learn how Security Copilot serves as the AI layer across Microsoft’s integrated security platform, enabling SOC teams to work faster and more effectively through context-aware, natural language experiences embedded directly into their workflow. Discover how analysts can investigate incidents, correlate signals across alerts, identities, and devices, and accelerate response actions using real-time Defender telemetry.

5. Azure MCP and Azure Skills

Explore Azure MCP Server and Azure Skills working together to extend AI capabilities across Azure services. In this video, we walk through the developer experience in VS Code, showing how to configure, run, and interact with Azure Skills seamlessly.


As always, please give me feedback on LinkedIn. Which bullet above is your favorite? What do you want more or less of? Other suggestions? Please let me know.

Last by not least, know someone who might be interested in this newsletter? Share it with them.

Subscribe on LinkedIn

Have a wonderful Thursday 🙂

Taswar

Grok 4.3 in Microsoft Foundry

If you’ve been building AI-powered apps lately, you’ve probably noticed that the conversation is shifting. It’s no longer just about “generate text.” It’s about reasoning, multi-step workflows, and agents that actually do things. That’s why I got excited when I saw Grok 4.3 land in Microsoft Foundry. This isn’t just another model drop — it’s a serious step toward agentic AI systems that can reason, plan, and integrate with tools in real-world scenarios. And the best part? You can start using it today with familiar patterns in .NET.

What’s intresting about Grok 4.3?

Let me cut through the marketing and tell you what stood out to me as a developer.
From the official announcement, Grok 4.3 focuses on:

  • Strong instruction following (finally predictable behavior)
  • Better tool usage and agent workflows
  • Reduced hallucinations / improved truthfulness
  • More reliable multi-step reasoning
  • Support for longer conversations and context

And on Microsoft Foundry specifically, it supports up to a 200K token context window, which means:

You can feed it large documents, long histories, or complex workflows without constantly chunking everything.

What I like here is the direction: This is clearly designed for real enterprise workflows, not just chat demos.

Where I see this being useful

Based on what Microsoft shared, a few scenarios jump out immediately:

  • Security copilots / incident assistants
  • Developer copilots for large codebases
  • Workflow automation agents
  • Document-heavy use cases (legal, finance, compliance)
  • Multimodal reasoning (text + diagrams + structured data)

C# Example of Calling Grok

As you know me I like to go into the code of things to see how things work, so lets get practical.

Prerequisites

  • .NET 8+
  • Azure / Foundry deployment of Grok 4.3
  • Azure.Identity + OpenAI SDK
  • OpenAI-compatible v1 API pattern

C# Sample Code

My Take on this

Personally, this is one of the more interesting additions to Microsoft Foundry recently. Not because it’s “just smarter” — but because it’s clearly designed for: Agent-based systems, Workflow automation and Real production scenarios

Resources

Azure 5 Highlights Thursday

Published: 2026-04-30
Source: https://www.linkedin.com/pulse/5-highlights-thursday-30th-april-2026-110-edition-taswar-bhatti-dobcf

Here is the #110 edition of 5 Highlights Thursday. I hope this newsletter will help you in your Azure journey and keep you informed. Feel free to forward this along to anyone who you think may enjoy or better ask them to subscribe.

1. AI Memory Patterns: Save Tokens, Cut Costs

AI systems must retain conversation history, tool outputs, and user context across multiple turns. Basic approaches can quickly inflate token usage or lose critical context. In this session, Chander D. (CEO of Cazton, 15-time Microsoft MVP) explores three memory patterns implemented using Azure Cosmos DB NoSQL

2. Getting Started with Security Copilot

This session walks through what you actually need to get started with Microsoft Security Copilot. It covers the E5 inclusion requirements and provide a practical, day‑one overview of the core experiences and agents you’ll use immediately—so you can move from setup to real value faster.

3. How do we draw agentic borders?

As AI agents become more capable—and more autonomous—one question rises fast: How do we draw agentic borders? For many organizations, this is also a sovereignty question: what stays in-country, who can access it, and how do you enforce policy across systems and regions? In this episode of The Shift Podcast: Agentic Edition, Evelyn Ozzie , Meena J Gowdar, Edouard de Cremiers, Karim Batthish from Microsoft Azure explore the evolving boundaries between agents, humans, systems, and responsibility—and what it takes to keep trust and accountability as AI becomes more agentic.

4.Azure SRE Agent: End to end agentic operations platform for any kind of toil and at enterprise scale

In this Azure Friday session, join Scott Hanselman & Shamir Abdul Aziz walk through how to get started with Azure SRE Agent and demonstrate how agentic workflows can be applied to real operational scenarios—from help desk tickets to cost analysis and reporting and anything in between.

5.Hooking Up All the Things, Making Your Developer’s Life Easier

Want to simplify distributed app development and stop wiring everything together manually? In this @VisualStudioLive session from Visual Studio Live! Las Vegas 2026, Jeffrey T. Fritz shows how to use .NET Aspire to orchestrate services, containers, and integrations so you can “hook up all the things” and make your developer life easier.


As always, please give me feedback on LinkedIn. Which bullet above is your favorite? What do you want more or less of? Other suggestions? Please let me know.

Last by not least, know someone who might be interested in this newsletter? Share it with them.

Subscribe on LinkedIn

Have a wonderful Thursday 🙂

Taswar

Azure AI Foundry GPT-5.5

OpenAI’s GPT-5.5 is now generally available (GA) in Microsoft Foundry, and this is one of those releases that matters less for “chat” and more for getting actual work done—end-to-end.

The big theme: messy, multi-step requests → completed tasks, with stronger reliability in planning, tool use, UI navigation, and recovery when something breaks mid-flow.

If you’re building internal copilots, engineering assistants, or “agentic” workflows that touch code + docs + systems, GPT-5.5 is positioned as a practical step forward in coding/debugging intelligence, long-context reasoning, computer-use accuracy, and token efficiency for longer-running workloads.

Why this release is different

In many enterprise environments, the hardest part isn’t generating an answer—it’s executing a workflow: interpret intent, plan steps, call tools, verify output, and keep going even after a failed command or a UI detour.
Microsoft frames Foundry as the “platform layer” that turns frontier models into governable systems (security, compliance, management), while GPT-5.5 brings improvements specifically tuned for sustained professional workflows.

What’s improved in GPT-5.5 (developer lens)

1) Agentic task execution (plan → act → finish)

GPT-5.5 is designed to handle multi-step execution, not just single-turn responses—planning and following through across tools and systems.
That’s exactly what you want when the task is “fix the bug, update the tests, and summarize the PR impact,” rather than “explain the bug.”

2) Coding + debugging that feels closer to real engineering

OpenAI highlights stronger performance in writing and debugging code, while Microsoft emphasizes agentic coding and more reliable execution for engineering workflows.
In practice, this maps well to: navigating large repos, doing root-cause analysis (RCA), anticipating downstream test updates, and validating changes before you ship.

3) Long-context reasoning that stays coherent

Both announcements point to GPT-5.5 handling large documents, codebases, and extended histories without losing the thread—critical for enterprise work where context is fragmented across tickets, specs, and logs.

4) Computer use (UI navigation) with better accuracy + recovery

A lot of agent workflows eventually hit a UI: portals, dashboards, admin blades, internal tools. GPT-5.5 puts emphasis on improved “computer use” accuracy—clicking the right thing, backtracking, and recovering when the workflow changes.

5) Token efficiency for long-running workflows

Long workflows can be expensive—not only because they’re long, but because retries and drift multiply tokens. GPT-5.5 is positioned as more efficient, often completing tasks with fewer tokens and fewer retries (especially in coding-style flows).

Top use cases (what I’d actually build with it)

A) Software engineering workflows (repo-scale)

  • Navigate large codebases and keep context across multiple files/modules.
  • Debug ambiguous failures, do RCA, propose fixes, and anticipate impact.
  • Identify test gaps and generate validation scripts (unit/integration).

B) Document + knowledge work (high-fidelity extraction)

  • Pull structured insights from contracts/specs/invoices/research docs.
  • Synthesize across multiple sources while keeping citations/traceability in your workflow design.

C) Agentic business process automation

  • Plan and execute multi-step workflows across systems (CRM, ITSM, internal portals).
  • Generate finished artifacts (docs/sheets/decks) as part of an automated pipeline.

D) Computer-use scenarios (UI-driven automation)

  • Navigate UI flows more accurately; recover when a click path fails.
  • Great fit for repeatable tasks that don’t have clean APIs (yet).

E) Spreadsheet reasoning (structured data)

  • Stronger reasoning on structured tables to support summarization, anomaly detection, and transformations

Minimal “hello world” – Chat Completions (C#)

This example mirrors the OpenAI v1 pattern used by Foundry/Azure OpenAI docs and is a good baseline for API-first apps.
(You’ll plug in your endpoint + deployment name; for enterprise, prefer Entra ID flows.)

Minimal “hello world” – Chat Completions (Python)

Python is great for quick evaluation, prompt iteration, and building internal tooling.

 

Conclusion: GPT-5.5 is built for “execution,” not just “answers”

If your AI roadmap includes agents that:

  • touch multiple tools,
  • reason across long contexts,
  • navigate UIs,
  • generate real artifacts (code/docs/sheets/decks),
  • and keep going when workflows break…

…then GPT-5.5 in Microsoft Foundry is a release worth testing early—because it targets the exact failure modes that show up when you move from demo to production.
And with Foundry’s deployment model + enterprise governance story, you can evaluate and productionize without reinventing the operational layer every time a new frontier model lands.

Bonus

gpt-image-2-microsoft-foundry-for-developers

Generative AI for images has gone from “cool demo” to something teams actually run in production. Microsoft has now made OpenAI’s GPT‑image‑2 generally available in Microsoft Foundry, and it’s a meaningful upgrade for developers building image-heavy workflows at scale.

This isn’t just “another image model.” GPT‑image‑2 focuses on instruction accuracy, higher resolution output, localization, and enterprise‑ready scaling—all crucial if you’re building real products instead of playing with prompts.

Let’s break down what’s new, why it matters, and how this changes image generation inside Microsoft Foundry.


Key Improvements in GPT‑Image‑2

1. Stronger Real‑World Context

GPT‑image‑2 is trained with knowledge up to December 2025, giving it better awareness of:

  • Current products
  • Modern design patterns
  • Recent cultural references

More importantly, it uses enhanced “thinking” capabilities to:

  • Refine outputs
  • Self-check generated content
  • Create multiple image variations from a single request

That makes it feel less like a static image generator and more like a creative assistant you can automate.


2. Built‑In Multilingual and Localization Support

One standout improvement is better multilingual understanding, especially for:

  • Japanese
  • Korean
  • Chinese
  • Hindi
  • Bengali

This matters when you need:

  • Text rendered correctly inside images
  • Culturally accurate visuals
  • Region-specific variations generated automatically

For global products, this alone removes a huge amount of downstream manual work.


Example of image created with GPT-Image-2 vs MAI-Image-2e

var prompt = “Create a simple poster-style graphic with 3 panels showing the same message rendered in Japanese, Korean, and Hindi. The message should be short and generic like ‘Hello World’. Use clean typography, white text on colored blocks, modern UI style, high legibility, no logos.”;

GPT Image 2 MAI Image 2e

GPT-Image-2

MAI-Image-2e


3. High‑Resolution Image Generation (Up to 4K)

GPT‑image‑2 introduces 4K image support, making it viable for:

  • Marketing assets
  • Product mockups
  • High-quality digital content

Important technical constraints to keep in mind:

  • Maximum pixel count: ~8.3 million pixels
  • Minimum pixel count: ~655k pixels
  • Dimensions must be multiples of 16
  • Requests exceeding limits are automatically resized

Supported resolutions include:

  • 1024 × 1024
  • 1536 × 1024
  • 1024 × 1536
  • 4K custom-sized images (within limits)

This brings image generation much closer to production-grade quality, not just prototyping.


Intelligent Routing: Less Guesswork for Developers

One of the more subtle—but important—features is the intelligent routing layer.

Instead of forcing developers to manually pick image sizes every time, Foundry can now automatically select the best configuration based on the request.

Routing Mode 1: Legacy Size Selection

If you’ve used previous image APIs, this mode maps your request to familiar tiers (small, standard, large) without you changing anything.

Routing Mode 2: Token‑Based Size Buckets

A more advanced mode where requests are routed using token buckets (16 → 96 tokens), offering more granular scaling while still abstracting complexity away from the app layer.

The net result: cleaner code, fewer hardcoded decisions, and more consistent outputs.


C# Code to generate your own image


Final Thoughts

GPT‑image‑2 is less about flashy demos and more about operational reality:

  • Fewer retries
  • Better instruction adherence
  • Cleaner localization
  • Higher‑quality visuals at scale

If you’re building AI‑powered apps, internal tools, or content pipelines on Azure, this model is a strong signal that image generation is now a serious enterprise capability, not an experiment.

Linkedin Newsletter

Hi everyone,

Your weekly dose of 5 Highlights Thursday is here, a list of information and links that you may find helpful in your Azure journey. Feel free to forward this along to anyone who you think may enjoy such sharing.

1. Microsoft partnership with Mistral AI

Microsoft on Monday announced a new partnership with French start-up Mistral AI as the U.S. tech giant seeks to expand its footprint in the fast-evolving artificial intelligence industry. Read more in the link below:

Mistral AI

Mistral AI

2. Research Forum Keynote: Research in the Era of AI

Peter Lee, Corporate Vice President, Microsoft Research and Incubations, discusses how recent developments in AI have transformed the way Microsoft approaches research.

3. Develop Your Copilot Skills (Part 2)

Artificial Intelligence (AI) is fundamentally changing how we relate to and benefit from technology. In this episode of the #AzureEnablementShow, Aaron and Natalie share some of the amazing—and FREE—training resources available to help you get the most out of #MicrosoftCopilot. In this second of three episodes, Natalie will share some of the video and self-paced learning resources available for GitHub Copilot, including Introduction to GitHub CoPilot, GitHub Copilot for Visual Studio, Learning AI with GitHub Copilot, and GitHub Copilot Fundamentals – Understand the AI pair programmer.

4. DevOps Security Capabilities in Defender CSPM

In this episode of Defender for Cloud in the Field, Charles Oxyer joins Yuri Diogenes to talk about DevOps security capabilities in Defender CSPM. Charles explains the importance of DevOps security in Microsoft CNAPP solution, what are the free capabilities available as part of Foundational CSPM, and what are the advanced DevOps security features included in Defender CSPM. Charles demonstrates how to improve the DevOps security posture by remediating recommendations, and how to use code to cloud contextualization with Cloud Security Explorer.

5. Microsoft Azure Virtual Training Day: AI Fundamentals – March 6th 2023

Explore core AI concepts at Azure Virtual Training Day: AI Fundamentals from Microsoft Learn. Join us for this free training event to learn how organizations use AI technology to solve real-world challenges and see how to build intelligent applications using Azure AI services. This training is suitable for anyone interested in AI solutions—including those in technical or business roles.

Azure Virtual Training Day

Azure Virtual Training Day


You can complement this edition of 5 Highlights Thursday with our MEA Developer Channel on YouTube where we have weekly interviews and learning material on Microsoft Azure, and much more.

And, as always, please give me feedback on LinkedIn. Which bullet above is your favorite? What do you want more or less of? Other suggestions? Please let me know.

Last by not least, know someone who might be interested in this newsletter? Share it with them.

Subscribe on LinkedIn

Have a wonderful Thursday 🙂

Taswar

Linkedin Newsletter

Hi everyone,

Your weekly dose of 5 Highlights Thursday is here, a list of information and links that you may find helpful in your Azure journey. Feel free to forward this along to anyone who you think may enjoy such sharing.

1. Demo of Azure AI & pgvector with Azure Database for PostgreSQL

This video showcases how you can improve the relevance of search results on a recipe website by using Azure OpenAI. Specifically the demo shows how you can use the new azure_ai (Preview) extension along with the open source pgvector extension and the Azure Database for PostgreSQL managed service to deliver semantic search results—as compared to search results you could obtain in the past via pattern matching with the LIKE clause in Postgres, or via Postgres full text search. The demo also shows how azure_ai gives you an integration between Azure Database for PostgreSQL and the Azure AI Language service, so you can do things like sentiment analysis, language detection, and PII redaction. In combination with the Azure Database for PostgreSQL service and pgvector, the new azure_ai extension to Postgres gives you the capability to build entirely new classes of applications—entirely in Postgres.

2. Encryption and Ledger in Azure SQL Database | Data Exposed

In this episode of Data Exposed, learn about the recent Azure SQL security innovations with Anna Hoffman and Pieter Vanhove.

3. Microsoft Fabric February 2024 Update

Read the Microsoft Fabric Feb Update. They have a lot of great features this month including Fabric Git Integration REST APIs, Fabric notebook status bar upgrade, Copilot in Dataflow Gen2, and many more!

Microsoft Fabric February 2024 Update

Microsoft Fabric February 2024 Update

4. Save money with Arc SQL Server licensing – what you need to know | Data Exposed

If you are used to traditional licensing options and pay for software assurance, you may wonder why you would ever use pay-as-you-go billing. In this episode of Data Exposed with Anna Hoffman and Sasha Nosov, we’ll cover how to use our new PayG model and understand how you can use Extended Security Updates.

5. MVP TechBytes – An Overview of Azure Virtual Desktop with Mahammad Kubaib

Dive into Azure Virtual Desktop with MVP Tech Bytes! 💻 Join Mahammad Kubaib and Taswar Bhatti to explore its benefits, deployment, and configuration. Discover how Azure Virtual Desktop can streamline and secure your virtual desktop experience. Don’t miss out on expanding your software development skills.


You can complement this edition of 5 Highlights Thursday with our MEA Developer Channel on YouTube where we have weekly interviews and learning material on Microsoft Azure, and much more.

And, as always, please give me feedback on LinkedIn. Which bullet above is your favorite? What do you want more or less of? Other suggestions? Please let me know.

Last by not least, know someone who might be interested in this newsletter? Share it with them.

Subscribe on LinkedIn

Have a wonderful Thursday 🙂

Taswar

MVP TechBytes

Dive into Azure Virtual Desktop with MVP Tech Bytes! 💻 Join Mahammed Kubaibi and Taswar Bhatti to explore its benefits, deployment, and configuration. Discover how Azure Virtual Desktop can streamline and secure your virtual desktop experience. Don’t miss out on expanding your software development skills.

To learn more:

🔗 YouTube channel:    / @vdibuzz  

🔗Udemy: https://www.udemy.com/user/mahammad-kubaib/

🔗 Blog: https://vdiclub.wordpress.com/blog-2/

Summary

What is Azure Virtual Desktop:
Azure Virtual Desktop is a cloud service that provides application and desktop virtualization hosted on Microsoft’s cloud. It allows users to access their Windows desktops and applications from any device and location.

Benefits of Azure Virtual Desktop:
Azure Virtual Desktop has many benefits, such as: simplicity, security, cost-effectiveness, scalability, flexibility, and sustainability. It enables users to work from anywhere, use their own devices, reduce hardware and licensing costs, adjust the number of virtual machines according to demand, and lower the environmental impact of e-waste.

Licensing and prerequisites for Azure Virtual Desktop:
Azure Virtual Desktop requires a Microsoft subscription, an identity provider (Azure Active Directory and Active Directory), an operating system license, a network connectivity to Microsoft cloud URLs, and a remote desktop client. Users with Office 365, Windows Enterprise, or Education licenses can use Azure Virtual Desktop for free, and only pay for the Azure infrastructure costs.

Architecture and types of Azure Virtual Desktop:
Azure Virtual Desktop has a PaaS model, where some components are managed by Microsoft (control plane) and some are managed by the customer (virtual machines, applications, Azure files, and Active Directory). The customer can choose between two types of virtual desktops: personal or pooled, and single session or multi session. Personal desktops are dedicated to one user, while pooled desktops are shared by multiple users. Single session desktops allow only one user per virtual machine, while multi session desktops allow more than one user per virtual machine

Linkedin Newsletter

Hi everyone,

Your weekly dose of 5 Highlights Thursday is here, a list of information and links that you may find helpful in your Azure journey. Feel free to forward this along to anyone who you think may enjoy such sharing.

1. Satya highlights AI transformation in India

While visiting India, Microsoft CEO Satya Nadella sat down for an interview with CNBC and discussed the AI transformation we’re living through. He said AI is “tangibly changing economic productivity.”

2. Security Update Release Summary February 2024

Our February mini-briefing video includes an overview of the release and then a discussion of a few items from today’s release.

3. Develop Your Copilot Skills (Part 1)

We are entering a new era of AI—one that is fundamentally changing how we relate to and benefit from technology. In this episode of the #AzureEnblementShow, Aaron and Natalie share some of the amazing—and FREE—training resources available to help you get the most out of #MicrosoftCopilot. In this first of three episodes, you’ll get an overview of Copilot, learn about Copilot for Microsoft 365, and get a look at some of the skilling resources for Dynamics 365 and Power Platform. Be sure to stay tuned for episodes two and three, when we’ll dive a little deeper into the resources being offered for GitHub Co-Pilot and demo one of the learning paths that is available to you.

4. Microsoft unveils Face Check for secure identity verification

Check out Face Check, the latest addition to our Entra Verified ID digital identity platform. Face Check, powered by Azure AI, allows businesses to match a user’s selfie to their government ID or employee credentials, providing an extra layer of security for sensitive operations like password resets or help desk access #secruty #microsoftentraid

Entra

5. Azure Takeoff – Azure Availability Sets

Join Taswar Bhatti & Hatim Nagarwala to learn how to ensure high availability and reliability for your Azure VMs. Discover availability options like availability sets, zones, and proximity placement groups. See a demo of creating and configuring availability sets in Azure portal. Master best practices for your Azure VMs’ resilience journey.


You can complement this edition of 5 Highlights Thursday with our MEA Developer Channel on YouTube where we have weekly interviews and learning material on Microsoft Azure, and much more.

And, as always, please give me feedback on LinkedIn. Which bullet above is your favorite? What do you want more or less of? Other suggestions? Please let me know.

Last by not least, know someone who might be interested in this newsletter? Share it with them.

Subscribe on LinkedIn

Have a wonderful Thursday 🙂

Taswar

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