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As DevOps environments grow more complex, security risks can spread across tools, pipelines, and applications. 🔐 This technical guide highlights how Azure and GitHub support end-to-end security with a shift-left approach across development and operations. Download the guide to see how you can reduce risk while maintaining speed. @microsoft-azure ⚡
What could your agents accomplish with a deeper understanding of your organization? The Microsoft Learn post below describes how this workplace intelligence layer helps agents reason over data, context, and tools with permission-aware governance built in. 🧠 Read the post to see how Work IQ lays the foundation for faster, more efficient agents and workflows. @Microsoft Copilot
As Postmates scaled, ensuring application security across hundreds of repositories became increasingly complex for its lean security team. To simplify, it deployed GitHub Advanced Security in Azure to automate vulnerability detection and reduce manual security work by embedding security directly into developer workflows. Get the story to learn how the company benefited from stronger security with less friction for engineering teams. @Microsoft Azure
The AI race is increasingly becoming an execution race. Giving employees access to AI is one thing. Embedding it into workflows in ways that measurably improve performance is another. MarketScale's "Top AI users are pulling 8.3x ahead, and GPU budgets are spreading everywhere" reports that the top 10% of enterprise AI adopters are generating 8.3 times more output per active user than typical firms. The article explores why workflow penetration, data foundations, coordination, and effective use of increasingly shared GPU resources may help explain the widening gap.
Expanding globally can make real-time communication harder to manage. 🌍 When faced with this problem, Agora used Azure AI to deliver low-latency translation in 140+ languages and expand coverage across 200+ regions. Read how Azure AI supports secure, scalable communication. @microsoft-azure
When Cactus Life Sciences needed to ease document-heavy workflows without putting sensitive data at risk, it adopted Microsoft 365 Copilot. The medical communications agency built more than 30 custom agents, and reports show structured data extraction running about 35% to 50% faster. 🔬 Read the story for ideas on how Microsoft 365 Copilot and custom agents can accelerate and secure workflows at your organization. @Microsoft Copilot
Customer interactions at scale can be hard to track and improve. 🚗 See how Carvana tackled this issue by using Azure AI to reduce inbound calls per sale by 45% and improve service quality. @microsoft-azure
AI agents can reshape how work gets done--but scaling them securely takes more than a great use case. "A Quick Guide to Bringing AI Agents into Your Workforce" offers five practical steps to help you: - Identify high-value workflows - Measure impact and scale what works - Build in observability and Zero Trust principles - Establish governance as agents expand Download the guide to build a more secure, intentional path to agent adoption.@Microsoft Copilot
Most teams are using AI to go faster, but only a few see real business returns. This article breaks down the AI Fragmentation Tax and shows how leading companies use shared context, redesigned workflows, and culture change to coordinate through AI, not around it. Share this with leaders who are investing in tools but not seeing ROI, then contact HENKE IT-Consulting to explore how you can help them build a practical Human-AI playbook and align their teams around the same goals.
Sorting through thousands of AI models can make the right choice harder to see. 🤖 Foundry helps you compare, test, and switch models based on your needs without starting over. Download the eBook for practical guidance on selecting the right model for your use case. @Microsoft Azure