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
Reviewing thousands of documents can stretch audit timelines and introduce risk. ⚙️ When faced with this challenge, NSF used Azure AI and Document Intelligence to cut audit time in half while improving accuracy. Read this customer story to see how Azure AI supports faster approvals and scalable auditing. @Microsoft Azure
AI apps can struggle when data, services, and infrastructure don't work together. ⚠️ Download the eBook to see how Microsoft Foundry supports reliable AI applications. @microsoft-azure
📍Alaska Airlines wanted to make destination discovery easier and more inspiring for travelers. Using Microsoft Foundry and Azure AI technologies, the airline built an experience that helps customers explore destinations and plan trips in a more intuitive way. Read the story to see how AI can help create more engaging customer experiences. @microsoft-azure
AI growth is changing the infrastructure equation. Higher-density workloads are putting new pressure on power, cooling, connectivity and the speed at which organizations can bring computing capacity online. The TechRadar Pro article "Enabling the Next Generation of AI Data Centers" explores why supporting AI at scale increasingly requires an integrated infrastructure strategy rather than simply adding more compute. Read the article 🔗
