Julia Kasper’s Post

Notification workflow with Azure API Center

Integrating Azure ML with Power Apps and Power Automate allows businesses to create intelligent applications and automate workflows efficiently. Power Apps facilitates the development of custom applications with minimal coding, incorporating advanced machine learning models from Azure ML. Power Automate enhances these applications by automating repetitive tasks and processes, improving operational efficiency. This integration drives innovation, optimizes various business processes, and enhances decision-making through predictive analytics. Balaji V delves into Integrating Azure ML, Power Apps and Power Automate. Read: https://lnkd.in/gDjPDP4H #AzureML #PowerApps #PowerAutomate #MachineLearning #PredictiveAnalytics #LowCode #DigitalTransformation #WorkflowAutomation #AI #CustomApps #OperationalEfficiency #MicrosoftAzure

🚀 Revolutionize Your Workflow with Azure ML, Power Apps, and Power Automate! 🌟 Supercharge your productivity by integrating Azure Machine Learning, Power Apps, and Power Automate. Automate tasks, create custom apps, and implement predictive analytics effortlessly. Unlock new possibilities and drive efficiency. Discover how in our blog! 🌐✨ #Automation #MachineLearning #PowerApps #PowerAutomate #AzureML #Innovation

Key question: "How much autonomy should we give these agents? Do we trust them to make decisions on their own, or do we maintain tight oversight, orchestrating every move? There’s a tradeoff here—between flexibility and control, between speed and reliability." Smart leaders will double-down on empowering groups of teams (humans + AI agents) to innovate and curate/steward services and digital products. How do we trust humans? By ensuring they have the domain context, guardrails, and incentives to Do The Right Thing. Same goes for agentic AI.

The simplest way to set up a #conversation interface to your #data within #s3 Organizations store documents and knowledgebases within S3 buckets and access them for various use cases. S3 offers an easy mechanism to store, update and delete unstructured data like workplace documents. Unfortunately, creating a search index or a chatbot can be challenging for most organizations. #AWS offers #Kendra and other search services, like #OpenSearch, to set up search and chat for these documents for public or private access; however, the cost (people and infrastructure) to build and manage them on a fixed-cost basis is challenging. https://lnkd.in/eFp-cfhA

Directly call Dataverse AI functions from PowerAutomate

Modernizing apps is key to scaling AI innovation. Azure empowers this journey with flexible strategies like rehosting, re-platforming, and adopting cloud-native services, helping teams align technical efforts with business outcomes. Joshua Huang shares Azure's curated resources, including "Modernize apps for AI-readiness" and "Best practices for AI apps," to equip your team for success in today’s AI-driven era. https://lnkd.in/gHSr-mN3 #AI #microsoft #msftadvocate

🌟 The AI revolution is accelerating, and Microsoft Azure is leading the charge with groundbreaking innovations announced this week! The pace is ever quickening - how are you keeping up? We are in a transformative era, and Azure’s latest advancements are built to empower developers, data professionals, IT leaders, and business decision-makers to harness AI's potential and elevate their impact. Let’s explore some key updates: 1️⃣ Azure AI Foundry: A unified platform enabling seamless AI solution development and management. This makes building, running, and optimizing AI easier than ever, bridging the gap between cutting-edge technology and business needs. 2️⃣ Azure AI Agent Service: Revolutionize productivity by automating business processes with intelligent agents. These AI-powered assistants can independently handle routine tasks, freeing up teams to focus on strategic initiatives while keeping human oversight where it matters. 3️⃣ Expanded AI Model Catalog: With over 1,800 models and fine-tuning capabilities, including industry-specific options, Azure makes it easier to implement customized AI solutions for healthcare, finance, manufacturing, and more. Tailor AI to your unique needs and maximize impact. 4️⃣ Responsible AI Commitment: As AI transforms industries, Azure offers enhanced governance and compliance tools, like AI reports and partnerships with Credo AI and Saidot, ensuring ethical practices are upheld and regulatory requirements met. 5️⃣ Game-Changing Developer Tools: Serverless GPUs, dynamic sessions in Azure Container Apps, and integrated Azure AI Content Understanding provide unmatched efficiency and flexibility. From reducing operational overhead to enabling secure environments for code execution, developers now have everything they need to build faster and smarter. 6️⃣ Data Innovations: Microsoft Fabric and the Intelligent Data Platform are laying the groundwork for AI-driven success. By integrating unique organizational data with AI, Azure enables unparalleled insights and decision-making power. This vision reflects Microsoft’s commitment to supporting every organization in its AI journey. With a robust, secure, and flexible AI ecosystem, the future is here—built with Azure. 🌐💼 🔗 Learn more about these advancements and explore the possibilities: https://lnkd.in/dCNUZCHg #AIRevolution #MicrosoftAzure #AzureAI #ArtificialIntelligence #DataInnovation #ResponsibleAI #DigitalTransformation