Katerina Chernevskaya
Power Platform Architect at KPMG | BizApps MVP | MCT
Razlog, Bulgaria
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Katerina, an MVP, MCT, and renowned public speaker, focuses on Power Platform & AI. With twenty years of experience and key certifications in PROSCI, PMI, Power Platform Solution Architect, she leads in app development, AI, and adaptive work models. Active in the Microsoft community, Katerina mentors new tech talent and supports innovation. Katerina takes part in the #SharingIsCaring initiative, guiding community contributions to the Microsoft Sample Solution Gallery.
https://www.linkedin.com/in/katerinachernevskaya/
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Top use cases to boost your business with Copilot Studio
Everyone hears the term Agent these days, and in connection with Agents, Copilot Studio is the big thing. You can create your smart and autonomous agents, you can extend First Party Agents, but what you don't hear is: Why do I need Copilot Studio? And what can I do with it? And how do I get the most out of it?
In this session we will go on a journey and find out the top use cases that will increase and improve your productivity enormously! Let's look at the top scenarios where Copilot Studio adds value and how you should use it strategically!
Agents have long been a part of our daily lives without us even realizing it. Let's learn and understand how to harness the power of AI, how to turn the benefits of the tool into real business value, and how to get the most out of the tool! But let's be honest, there are cases where Copilot Studio should not be the tool of choice. Let's talk about those too!
Talk Announcement: Building Content-Aware M365 Copilot Extensions with Azure AI & Copilot Studio
Discover how to create intelligent Microsoft 365 Copilot extensions that analyze and reason over enterprise content using Azure AI Services and Copilot Studio. This session will guide you through selecting the right AI tool for tasks like document summarization, classification, and extraction - based on Microsoft’s official Content Understanding tool selection framework. (https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/choosing-right-ai-tool)
We’ll showcase how to integrate these capabilities into Copilot Studio, enabling personalized, context-aware copilots that enhance decision-making and content workflows inside M365 apps.
The talk includes a real-world use case focused on building content review and optimization logic, using orchestration patterns, prebuilt models, and Retrieval-Augmented Generation (RAG).
Ideal for solution architects, AI developers, and innovation leads looking to extend Copilot beyond simple Q&A - into actionable, structured insights.
Power Apps logic made easy: Smarter development with Named Formulas & User Defined Functions
Power Apps developers often struggle with duplicated logic, difficult maintenance, and performance bottlenecks. When a single formula is repeated across multiple screens, even a small update can require dozens of manual changes, increasing complexity and the risk of errors 🤯
Why does this matter? Poorly structured apps become hard to debug, slow to load, and frustrating to scale. Without a centralized way to manage business logic, apps become fragile and inefficient, leading to wasted development time and poor user experiences.
📝 This session will introduce Named Formulas (NF) and User Defined Functions (UDF) - two powerful tools that can supercharge your Power Apps by reducing redundancy, improving maintainability, and optimizing performance.
You’ll learn:
- What Named Formulas and User Defined Functions are.
- How they work and when to use each.
- Real-world examples of performance improvements.
- Best practices to structure app logic efficiently.
By the end of this session, you’ll have a clear strategy for managing complex logic in Power Apps, allowing you to build apps that are faster, cleaner, and easier to maintain.
Key Takeaways:
✅ Eliminate repetitive formulas across multiple screens using Named Formulas.
✅ Make your logic reusable and parameter-driven with User Defined Functions.
✅ Improve app performance and maintainability with centralized logic.
✅ Avoid common pitfalls and leverage best practices for a scalable Power Apps architecture.
Optimizing Microsoft 365 Copilot Agents with Copilot Studio and Power Platform Analytics
Optimizing multi-agent systems built with Microsoft Copilot Studio poses a significant challenge: most user interactions - simple Q&A exchanges - lack structured feedback suitable for traditional analytics. Are users clarifying their tasks? Questioning model quality? Reporting confusion? Without answers, it’s hard to decide whether to retrain models, educate users, or redesign the agent architecture.
In this session, we present a practical framework that uses LLM-based classification to characterize user intent. Each incoming user message is automatically labeled by type (clarification, feedback, additional info, etc.), forming a structured event log for analysis.
We’ll walk through:
- Using Microsoft Copilot Studio to enrich agent telemetry and route structured data to Application Insights
- Applying LLM pipelines to tag conversation intents
- Leveraging Power Automate Process Mining to detect interaction bottlenecks and user friction points
- Making actionable decisions: from training material improvements to architecture redesign
This is a highly practical, demo-driven session for:
- Power Platform developers building AI-powered solutions
- Architects designing conversational interfaces
- System analysts optimizing Copilot usage in enterprise environments
Join us to discover how structured data and process insights can turn black-box agent behavior into measurable, improvable systems.
Mastering Tracing in Azure AI Foundry: Diagnose, optimize, and enhance performance
Are you encountering unexpected AI behavior, inconsistent responses, or escalating costs? This session will equip you with the skills to leverage Tracing in Azure AI Foundry for in-depth diagnostics and performance optimization. Learn how to analyze detailed logs, pinpoint inefficiencies, and refine your AI applications with precision. Gain practical insights to optimize prompt design, reduce token consumption, and improve overall AI performance - ensuring your models operate efficiently and effectively.
Key Takeaways:
- Effective troubleshooting: identify root causes of errors and anomalies in AI responses.
- Performance optimization: leverage trace data to enhance prompt efficiency and reduce operational costs.
- Refined AI workflows: implement strategies to improve response accuracy and streamline AI interactions.
From Concept to Intelligent Agent: Build AI Agents with Copilot Studio and Azure AI Foundry
Struggling to keep pace with ever-growing tasks and business complexity? Looking for a smarter way to streamline cross-functional processes, automate decision-making, and personalize enterprise user experiences? This workshop takes a deep dive into designing, customizing, and integrating intelligent agents using Microsoft Copilot Studio, extended with the advanced capabilities of Azure AI Foundry.
We'll start by exploring real-life use cases - from automating employee or customer interactions to integrating with systems like Dynamics 365 and Microsoft Teams. You’ll learn how to configure intelligent agents in Copilot Studio using features like multi-turn dialogues, adaptive cards, actions, and external API calls.
The second half of the session focuses on Azure AI Foundry - where you’ll go beyond the basics and learn how to:
- Build, test, and optimize Prompt Flows to generate context-aware responses
- Configure evaluation metrics to assess response quality and performance
- Enable tracing and telemetry to monitor token usage, latency, and model behavior
- Leverage Prompt Flow chaining and retrieval techniques (RAG) to ground answers in enterprise data
- Deploy and manage components using Infrastructure as Code (IaC) approaches with Bicep scripts, enabling repeatable, scalable, and governed agent solutions across environments
By the end of this workshop, you’ll be equipped to:
- Identify impactful use cases for intelligent agents
- Build and extend agents in Copilot Studio using advanced features
- Use Azure AI Foundry to configure, evaluate, and trace Prompt Flows - ensuring your solutions are reliable, scalable, and measurable
Ideal for Functional Consultants looking to combine low-code AI development with deeper customization and quality control across the Microsoft cloud ecosystem.
From concept to intelligent agent. Build AI agent with Microsoft Copilot Studio and Azure AI Foundry
Struggling to keep pace with ever-growing tasks and complexity in your daily work? Need a smarter way to streamline processes, automate repetitive chores, and provide more personalized user experiences? This workshop provides a clear, practical path to designing and deploying intelligent agents using Microsoft Copilot Studio, then extending their capabilities through Azure AI Foundry.
We will begin by outlining common scenarios where AI-driven agents offer tangible benefits, such as automating routine tasks, consolidating information, and improving response quality. Next, participants will learn how to configure, train, and integrate agents into their workflows using Copilot Studio’s intuitive features. Finally, we will explore how Azure AI Foundry’s model customization, data connectors, and optimization tools can further refine these solutions for maximum impact.
By the end of the workshop, you will understand how to:
- Identify real-world use cases for AI agents that address specific business challenges.
- Build and tailor agents in Copilot Studio to suit your unique requirements.
- Enhance agent functionality using Azure AI Foundry to deliver scalable, contextually aware solutions.
Attend this session to gain the skills and insights needed to confidently develop, refine, and implement AI agents that add value across your organization.
Extending the backend of Business Central AI Agents with Azure AI Foundry
Business Central provides built-in AI-driven capabilities for automating business processes. However, real-world business scenarios often require deeper backend extensions - integrating with external APIs, adding advanced AI capabilities, and customizing data flows beyond what is natively available.
In this session, we’ll explore how to extend Business Central AI Agents backend using Azure AI Foundry. With Azure AI Foundry, you get a robust tool not only for generating intelligent responses but also for monitoring, evaluating, and optimizing your AI solution. It enables you to ensure the AI model performs optimally, aligns with business needs, and manages costs efficiently.
Key takeaways include:
✅ When and why to extend beyond built-in Business Central AI capabilities.
✅ How to build your own Prompt Flow in Azure AI Foundry and deploy it to an endpoint for API integration in Business Central.
✅ The importance of AI monitoring, evaluation, and cost management.
✅ Practical architectural patterns for backend extensions.
Expanding Horizons: New Features in Copilot Studio for Gen AI
Explore the latest advancements in Copilot Studio, part of the Microsoft Power Platform, designed to enhance your generative AI solutions. This session will delve into new features such as autonomous agents that respond to events and complete workflows in the background, the ability to add Azure AI Search indexes as knowledge sources, and real-time knowledge connectors for platforms like Salesforce, ServiceNow Knowledge, and Zendesk. These enhancements aim to streamline your development process and elevate the capabilities of your AI applications.
Through live demonstrations and practical examples, you'll learn how to leverage these tools to build more intelligent, efficient, and responsive AI-driven solutions. Whether you're a developer or a business user, this session will provide you with actionable insights to harness the full potential of Copilot Studio's latest features.
Join us to discover how these innovations can transform your approach to AI development and drive greater value in your projects.
Elevate your code: Advanced techniques with Named Formulas & User Defined Functions in Power Apps
Navigating the complexities of Power Apps often feels like solving a challenging puzzle, especially when faced with sluggish performance and intricate coding issues. If you've ever been bogged down by slow response times and cumbersome formulas while handling complex data, you're definitely not alone.
This session is designed to unveil the power of Named Formulas and User Defined Functions in the Power Apps. Join me as we explore how these features can dramatically elevate the efficiency and responsiveness of your applications.
What you'll gain from this session:
- Decoding the Tools: Master the syntax and functional applications of Named Formulas and User Defined Functions, and understand why they are essential for optimizing your apps.
- Application in Action: Through live examples, learn how these tools reduce complexity and redundancy, making your code not only faster but also more readable and maintainable.
- Performance Optimization: Discover methods to accelerate your app's performance, ensuring rapid responses to user interactions.
- Best Practices for Code Excellence: Dive deep into strategies for optimizing your formulas and crafting efficient functions, so your apps operate smoothly and are easier to maintain.
- Interactive Exchange: Take part in a dynamic Q&A where your unique challenges are met with expert advice, offering you practical, tailored solutions.
This session promises to be more than informative - it’s a step towards mastering Power Apps to create more maintainable, efficient, and enjoyable applications. Elevate your coding prowess with the capabilities of Named Formulas and User Defined Functions, and watch your Power Apps transform! Join us and redefine what you can achieve with Power Apps!
Arthur Christmas AI: Evaluating Prompt Flow with Azure’s Elves of Precision
This article explores how to effectively evaluate Prompt Flow in Azure AI Studio using key metrics - Coherence, Fluency, Groundedness, Relevance, Similarity, and F1 score - through a festive lens inspired by the cartoon "Arthur Christmas" 🎅
Just as Santa’s elves ensure seamless holiday gift deliveries, these metrics work together to assess AI model performance and guide future improvements. With detailed explanations of each metric and step-by-step instructions for running Prompt Flow Evaluations in Azure AI Studio, this article provides technical insights wrapped in holiday cheer, perfect for developers optimizing models.
Actionable Copilots: Empowering AI Agents to Automate Business Processes with Power Platform
Most AI chatbots in business today are limited to providing static answers. They can't do anything – they can’t update CRM records, send notifications, or automate tasks. This leads to disconnected user experiences and missed opportunities for operational efficiency.
As organizations adopt AI copilots across customer service, internal support, and operations, the demand is shifting from passive Q&A bots to intelligent agents that can take action across systems. This requires tight integration with business data and tools like Dynamics 365, Microsoft 365, and third-party systems. Without this, AI remains just a novelty, not a driver of value or ROI.
How – Tools & Features to Solve It:
In 2025, Microsoft Copilot Studio introduced the Tools pane, a centralized interface for adding actions and data sources to your chatbot.
These features empower Copilots to not just talk, but to act—automating tasks like submitting service tickets, scheduling meetings, or logging data into your CRM in real time.
In this session:
- Learn how to connect Copilot Studio to Dynamics 365, Power Automate, and external systems to build end-to-end business processes within your chatbot.
- Discover how generative AI can intelligently decide which action to take, including asking for missing inputs dynamically during the conversation.
- Gain practical experience designing Copilot workflows that go beyond answering questions – by performing actions that deliver measurable business value.
City farming. Integration FarmBot with Azure IoT Central and Azure Machine Learning Studio.
FarmBot is an open source precision agriculture CNC farming project consisting of a Cartesian coordinate robot farming machine, software and documentation including a farming data repository. The project aims to "Create an open and accessible technology aiding everyone to grow food and to grow food for everyone."
Microsoft Azure is a cloud computing platform that provides a wide range of services for educational institutions. With Microsoft Azure, schools and universities can complete cloud computing tasks at any scale and on-demand using a pay-as-you-go plan. Azure is ideal for educational institutions because it gives them the computing power of enterprise-level businesses without putting strain on their limited budgets1
Our aim is to demonstrate the potential of combining these two platforms for educational purposes, highlighting the power of integration.
ALM Space Explorer
Ready your developer spaceships, voyagers! It's time to explore the exciting universe of Application Lifecycle Management (ALM) within the Power Platform and Dynamics 365 galaxies. Buckle up, as this workshop propels you through the vibrant nebulas of managing apps and data, from inception to deployment across numerous realms of development, testing, and production!
Your Star Map of Learnings:
- Exploring Environments & Solutions:
Unearth the profound impacts of environments and solutions on your projects, intertwining them gracefully throughout their lifecycle.
- Azure DevOps - A Deep Dive:
Dive deep into the expansive universe of Azure DevOps, mastering the art of configuring organizations, managing pipelines, and anchoring code securely in repositories.
- Service Principal Account Utilization:
Illuminate your processes by leveraging a service principal account, augmenting both your procedural security and efficiency.
- Updates with Precision:
Learn to automate the prefilling of values for connection references and environment variables in accordance to each targeted environment.
- Piloting through Pipelines in Managed Environments:
Engage in constructing efficient pipelines in managed environments, ensuring your developmental journey is smooth and streamlined.
Get ready to soar through the galaxies of knowledge and skill enhancement that this workshop promises! For a smooth and enlightening voyage, please ensure to review and adhere to the prerequisites outlined here: https://github.com/Katerina-Chernevskaya/alm-space-explorer/blob/main/CheckPrerequisites.md
Using Microsoft Azure ML Studio Prompt Flow for classification tasks
In the world of AI chatbots, the key is making sure they understand and respond to user queries accurately. This involves honing in on user intent, which significantly improves chatbot responses, making them relevant and useful across various contexts.
In the session, we offer the approach that focuses on Azure ML Prompt Flow, a tool that boosts chatbots' ability to interpret questions. This session will cover integrating Prompt Flow with Azure ML and Azure OpenAI to enhance chatbot interactions. You'll learn about refining query classification and embedding Prompt Flow into your chatbot setup.
By the end, you'll know how to configure an endpoint via Azure ML, enhancing chatbot understanding and response precision. This endpoint is adaptable, and ready to improve chatbot performance across different user interfaces like customer portals, Power Apps applications, and internal platforms, broadening the impact of your chatbot solutions.
Keeping AI Smart with Retrieval Augmented Generation (RAG)
AI is everywhere, and it's essential to keep it up-to-date. This session explores tools like Retrieval Augmented Generation (RAG) and fine-tuning that ensure your AI stays relevant as data evolves. We'll simplify these technologies, explore how they work, and help you decide which is best for your projects.
For those intrigued by the potential of RAG, our session will offer a comprehensive guide to crafting your own solution. You’ll see firsthand how to integrate these methods into your own AI applications, focusing on practical benefits such as cost, scalability, and maintenance. Plus, we’ll cover how to keep an eye on performance to ensure your AI continues to perform well.
This won't be a one-way street – we encourage active participation, questions, and discussions to ensure that you leave with a deeper understanding and actionable strategies to elevate your AI applications to new heights. Whether you're a developer eager to enhance your skills or a leader driving AI innovation, this session is designed to provide valuable insights and hands-on learning to help you succeed.
Formula for Success: Supercharging Power Apps with Named Formulas
Let's face it: dealing with sluggish performance and convoluted code in Power Apps can feel like navigating a labyrinth. You're not alone if you've ever found yourself lost in a maze of slow responses and tangled formulas while managing complex datasets.
Enter the realm of Named Formulas – your secret weapon in the Power Apps arsenal. In this session, I'll guide you through the magical world of Named Formulas, demonstrating how they can transform your apps from sluggish to supercharged!
During this session, you will:
- Unravel the Mystery: Learn the syntax of Named Formulas and discover why they are crucial game-changers for your apps.
- Practical Magic: See through practical examples how Named Formulas can streamline your app, significantly reducing complexity and redundancy.
- Speed Thrills: Find out how to enhance your app's speed, ensuring it's more responsive with every click and swipe.
- Masterclass in Efficiency: Absorb best practices in formula optimization and maintenance to ensure your apps run like a well-oiled machine.
- Interactive Insights: Engage in a dynamic Q&A session, where your questions and challenges are met with expert solutions and insights.
Join us for a session that's not just informative but also a journey into making your Power Apps experience more efficient and enjoyable. It's time to supercharge your apps with the power of Named Formulas!
Decoding Pipelines in Managed Environments: Optimize Your Software Delivery
Explore when and why to use Pipelines in Managed Environments, especially suitable for smaller projects where Azure DevOps might be too robust.
This session will guide you through:
- Determining the right scenarios for implementing Pipelines in Managed Environments.
- Understanding the requirements and configuration steps.
- Tailoring pipelines to suit your project needs.
By the end of this session, you’ll possess comprehensive knowledge to craft and execute an effective ALM strategy, utilizing the right tools for your projects.
Enhancing AI Performance for RAG solutions: Strategies and Metrics for Success
Many AI applications suffer from inefficient data processing and outdated responses, leading to poor performance and user dissatisfaction.
Optimizing AI performance is crucial to ensure that systems are both accurate and efficient, meeting the growing demands for real-time, relevant responses in professional environments.
This session will explore the integration of Retrieval-Augmented Generation (RAG) with Azure AI, focusing on practical strategies like effective vectorization, prompt engineering, and leveraging cached responses to enhance AI performance. We will also dive into performance measurement techniques, explaining why these metrics are vital for continuous improvement in AI systems. By the end of this session, participants will understand how to apply these optimizations to create more dynamic, responsive, and efficient AI applications using Azure Machine Learning.
This approach improves AI interaction quality and ensures systems are scalable and responsive to the evolving needs of users and industries.
Enhancing Chatbot Intelligence with Azure ML Studio's Prompt Flow
In the world of AI chatbots, the key is making sure they understand and respond to user queries accurately. This involves honing in on user intent, which significantly improves chatbot responses, making them relevant and useful across various contexts.
In the session, we offer the approach that focuses on Azure ML Prompt Flow, a tool that boosts chatbots' ability to interpret questions. This session will cover integrating Prompt Flow with Azure ML and Azure OpenAI to enhance chatbot interactions. You'll learn about refining query classification and embedding Prompt Flow into your chatbot setup.
By the end, you'll know how to configure an endpoint via Azure ML, enhancing chatbot understanding and response precision. This endpoint is adaptable, and ready to improve chatbot performance across different user interfaces like customer portals, Power Apps applications, and internal platforms, broadening the impact of your chatbot solutions.
Exploring Gen AI in Copilot Studio: Features and Prerequisites
In this session, we'll uncover which Gen AI features align best with specific objectives, providing insights into effectively choosing and implementing these technologies. Attendees will gain a clear understanding of when to utilize particular Gen AI functionalities to enhance efficiency and innovation in their solution architecture, alongside a straightforward overview of the necessary prerequisites. This direct approach aims to equip you with the knowledge to harness the power of Copilot Studio's Gen AI features for your varied needs.
Using Microsoft Azure ML Studio Prompt Flow for classification tasks
Azure ML Prompt Flow stands out as a remarkably versatile tool that serves a multitude of purposes, especially in enhancing how chatbots interact with users. Consider a scenario where a user asks a chatbot a question, anticipating a precise and relevant response. For the chatbot to deliver an accurate answer, its first task is to "understand" the essence of the question posed. This preliminary step involves the chatbot's ability to dissect the query and classify it accurately into a specific category and subcategory. This classification is crucial because it determines the pathway the chatbot will follow to fetch or formulate an appropriate response.
Let's delve into how to make such Prompt Flow in Azure ML.
Santa’s Workshop of Power: Exploring Power Platform ALM Through Festive Labs
Embark on a whimsical sleigh ride through the enchanted forest of Application Lifecycle Management (ALM) in Power Platform, where development mingles with holiday adventure! This workshop is your magical sleigh, guiding you through the twinkling lights and vivid ornaments of app and data management, from their inception to deployment across diverse development, testing, and production wonderlands.
Your Holiday Trail to Insights:
❄️Exploration of Environments & Solutions:
Traverse the snowy trails of environments and solutions, weaving them gracefully through every phase of your project's lifecycle like strands of tinsel on a Christmas tree.
💫Azure DevOps - A Yuletide Expedition:
Plunge into the snow-blanketed realm of Azure DevOps, honing your skills in configuring organizations, orchestrating pipelines, and safeguarding code within gingerbread repositories.
✨Utilizing Service Principal Account:
Light up your pathways with the glow of a service principal account, enhancing both the security and efficiency of your processes like a string of twinkling fairy lights.
🎄Precision Updates in ALM:
Master the art of automating the stuffing of stockings with values for connection references and environment variables, ensuring they are perfectly tailored to each target environment.
Smooth Sailing with Pipelines in Managed Environments:
Engage in crafting efficient pipelines in managed environments, ensuring your developmental journeys glide smoothly over the ice.
Join us on this festive adventure to not only elevate your knowledge but also enhance your skills in a workshop promising practical application and engaging content beneath the holiday lights.
3 Yuletide Learnings:
In-Depth ALM Acumen:
Immerse yourself in the expansive winter wonderland of Application Lifecycle Management (ALM) within the Power Platform, sharpening your skills in managing applications and data through their entire lifecycle across various development, testing, and production environments like a skilled elf in Santa's workshop.
Azure DevOps Mastery:
Advance your expertise in Azure DevOps, exploring robust CI/CD pipeline creation, strategic configuration of organizations, and steadfast code repository management amidst a flurry of snowflakes. Learn how to set up, optimize, and safeguard your development pipelines, ensuring efficient and secure transitions through the developmental snowscape.
Seamless Automated Transitioning:
Delve into crafting and fine-tuning automated pipelines and updates, ensuring precision and alignment with target environments like a well-coordinated dance of sugarplum fairies. Learn to navigate through connection references and environment variables, enhancing your capability to implement streamlined and accurate deployments within managed candy-cane lanes.
Maximizing App Potential: Integrating Azure Insights and Process Mining for Enhanced User Experience
In the dynamic landscape of application development, it's not just about making apps better for users. It's also key to spot and fix performance problems early. If not, these issues might slip through, leading to unhappy users, poor app performance, and even users giving up on the app. Catching these problems early is vital to keep your app competitive and in good shape.
Our session offers a smart solution: combining Microsoft Azure Application Insights with your apps and using Process Mining for deeper analysis.
Azure Application Insights gives detailed statistics on how people use your apps and how well they perform. By linking this service with your apps, you get a clear picture of both usage and performance. We go a step further in this session by bringing in Process Mining. This tool takes all that data and turns it into useful insights.
We'll also look at the role of Copilot in Process Mining. Copilot is like a smart helper, making it easier to find and fix any issues.
Maximizing App Potential: Integrating Azure Insights and Process Mining for Enhanced User Experience
In the dynamic landscape of application development, it's not just about making apps better for users. It's also key to spot and fix performance problems early. If not, these issues might slip through, leading to unhappy users, poor app performance, and even users giving up on the app. Catching these problems early is vital to keep your app competitive and in good shape.
Our session offers a smart solution: combining Microsoft Azure Application Insights with your apps and using Process Mining for deeper analysis.
Azure Application Insights gives detailed statistics on how people use your apps and how well they perform. By linking this service with your apps, you get a clear picture of both usage and performance. We go a step further in this session by bringing in Process Mining. This tool takes all that data and turns it into useful insights. It shows you exactly how users interact with your app and where it can be improved.
We'll also look at the role of Copilot in Process Mining. Copilot is like a smart helper, making it easier to find and fix any issues. It speeds up analyzing data and makes it simpler, which is great for both developers and those making decisions.
Join us in this session to learn how to connect your apps with Azure Application Insights and use Process Mining and Copilot for thorough analysis.
Mastering Azure DevOps: Elevate Pipeline Management in Power Platform Managed Environments
This session delves into the optimization of deployment pipelines within Power Platform Managed Environments using Azure DevOps. The focus will be on unveiling practical tips and tricks that cater to setting up automated workflows, ensuring security compliance, and proficiently monitoring and managing deployments.
With the dynamic nature of DevOps, having a robust and efficient pipeline is crucial for continuous delivery and integration. Azure DevOps, when harnessed correctly, can significantly enhance pipeline management in Power Platform Managed Environments. This session aims to equip attendees with the knowledge and skills to leverage Azure DevOps to its full potential, thereby streamlining operations and fostering a culture of excellence in deployment practices.
The session will be a blend of theoretical insights and practical demonstrations. Engaging presentations coupled with real-world examples will provide a clear understanding of applying the discussed tips and tricks. Attendees will witness firsthand how Azure DevOps can be configured and optimized for superior pipeline management, while also having the opportunity to engage in a Q&A segment to further deepen their understanding and resolve any queries.
ALM Odyssey: Navigating Through Power Platform's Developmental Cosmos
Embark on an exhilarating journey through the cosmos of Application Lifecycle Management (ALM) in Power Platform and Dynamics 365, where development meets adventure! This workshop is your spacecraft, piloting you through the vast and vivid nebulae of app and data management, from their birth to deployment across diverse development, testing, and production universes.
Your Galactic Guide to Insights:
- Exploration of Environments & Solutions: Discover the influential role of environments and solutions, weaving them adeptly through every phase of your project's lifecycle.
- Azure DevOps - An In-Depth Odyssey: Plunge into the vast space of Azure DevOps, honing your skills in configuring organizations, orchestrating pipelines, and safeguarding code within repositories.
- Utilizing Service Principal Account: Illuminate your pathways by harnessing a service principal account, enhancing both the security and efficiency of your processes.
- Precision Updates in ALM: Master the art of automating the prefilling of values for connection references and environment variables, ensuring they are attuned to each target environment.
- Smooth Sailing with Pipelines in Managed Environments: Engage in crafting efficient pipelines in managed environments, ensuring your developmental journeys are seamless and optimized.
Join us on this cosmic adventure to not only uplift your knowledge but also enhance your skills in a workshop promising practical application and engaging content. Please ensure a smooth journey by reviewing and adhering to the prerequisites outlined here: https://github.com/Katerina-Chernevskaya/alm-space-explorer/blob/main/CheckPrerequisites.md
Add the AI capabilities to your Power BI reports
Data is not just letters or numbers. It is a valuable asset in your company. Companies now work with a huge amount of information and may be missing out on something important.
Microsoft allows you to integrate Cognitive Services into Power BI to extend the functionality of your reports. Thus, you will have a powerful assistant to help you with data analysis and visualization.
Come to my session and learn how to integrate Azure Cognitive Services into Power BI reports.
Using Power Apps Cards to speed up Dynamics 365 Sales usage
For many simple and repetitive operations, the full interface of Dynamics 365 Sales may be redundant and slow down work. Additionally, Viva Sales and Dynamics 365 App for Outlook applications do not provide sufficient flexibility in customization and ensuring the required level of UI/UX.
The new type of mini-apps Power Apps Cards can become an excellent tool for your sales team for customizing and streamlining common tasks in the sales process. These mini-apps can be created by either by professional developers, Citizen Developers, or the sales department.
In this session, we will explore a real-world example of creating such a mini-application from zero to hero, as well as governance and access rights aspects for working in a corporate environment.
Through this session, participants will gain the skills to develop a simple application for data input into Microsoft Dynamics 365 Sales directly from the Microsoft Teams channel or chat. The session will be valuable for sales teams looking to improve productivity by reducing the complexity of Dynamics 365 Sales and creating custom solutions for common tasks.
Revolutionize your Chatbot Experience: Unleash the Power of Azure Open AI
Are you looking to take your chatbot to the next level and provide your customers with an enhanced experience? The Azure Open AI is the solution you've been looking for.
In this "from zero to hero" session, we will walk you through how Azure Open AI can be used to extend your chatbot knowledge and deliver a more personalized experience to your users. You will learn how to leverage the power of AI to understand user intent and tailor responses accordingly. We will also show how to integrate Azure Open AI with your existing chatbot and provide best practices for deployment and management.
With Azure Open AI, you can create chatbots that are smarter, more efficient, and more engaging, and take your customer experience to the next level. Don't miss this opportunity to learn how to use the latest AI technology to revolutionize your chatbot solution!
Discovering User Delight: A Journey to Improve the User Experience
One of the important stages of the application life cycle is monitoring the user experience in order to identify bottlenecks and improve applications.
Microsoft offers a powerful service for collecting usage statistics - Azure Application Insights. The integration of this service with Power Apps Canvas applications allows you to flexibly monitor user behavior and application performance, get insights to make informed decisions to improve your apps.
In this session, we will learn how to integrate Power Apps Canvas Apps with Azure Application Insights and begin to analyze application usage and performance data with Power BI.
A good user experience is key to the success of your apps. Let's bring them on the next level together!
Digital farming. Microsoft Azure Data for Agriculture project.
Azure Data Manager for Agriculture extends the Microsoft Intelligent Data Platform with industry-specific data connectors and capabilities to connect farm data from disparate sources. Leverage high-quality datasets to accelerate development of digital agriculture solutions.
In our educational agriculture project, we started out using Farm Beats for collecting and analyzing data from our organic farm. However, as our needs and scale grew, we found that we needed a more robust and scalable solution. After availability of new version in public preview, we decided to migrate our data to the Azure Data for Agriculture project.
Our experience of transitioning from Farm Beats to the Azure Data for Agriculture project will be shared.
Boost your sales team productivity with Viva Advanced Insights and Azure Machine Learning
Sales techniques and communication channels between sellers and customers are rapidly evolving with the impact of the pandemic, new digital marketing tools, and the rise of digital-native generations. In these circumstances, it is a challenge to provide high-quality training of your salespeople in effective and modern methods of work, especially with proven effectiveness based on data.
Imagine being able to get detailed information about the working patterns of your most successful salespeople and, based on this real data, build a training program, work standards, evaluation methods, and other parameters for your sales team.
To do this, in this session, I will explain how to:
- Get anonymized data on the working styles of your sales team.
- Enrich this data with information on the success of their work from the CRM system.
- Analyze the data using Azure Machine Learning to determine the most critical factors that influence sales success.
By attending this session, you will gain insights into data-driven sales training methods and learn how to apply them to your team. You will leave with practical knowledge and skills that can help you improve your team's performance and drive business growth.
Automate CI/CD using Azure DevOps for Power Apps applications created in Teams
Application Lifecycle Management is important and provides a framework for managing the development, testing, deployment, and maintenance of software applications. In the Power Platform ecosystem, solutions are the mechanism for implementing ALM.
For building applications in the Dataverse environment, you can easily create a solution, include the necessary components in it, and configure Azure DevOps pipelines for CI/CD.
But what if you are developing Power Apps applications in the Dataverse for Teams? In this case, you can't create a solution and automate CI/CD? Don't panic! We have tips for you!
In this session, we'll take a look at how to automate CI/CD for applications created in Dataverse for Teams using the Microsoft 365 E3 license and Azure DevOps.
Use Chat GPT for extend you chat bot knowledge
Building Q&A bot and struggling with train its model? Let's have a look how to extend your bot with Chat GPT.
In this session we will build a chat bot using Power Virtual Agent and link the bot's conversation with Chat GPT. As well we will see how to tune existing Chat GPT model so that the answers are relevant to your subject area.
Internship program by Microsoft Low-Code AI solutions in Sofia, Bulgaria
Awara IT company together with IT STEP Academy launch the internship program where you will be able to learn Microsoft Dynamics ecosystem and pass Microsoft official certification for specialist (for free). On this session we will show you usage of Artificial Intelligence for deep dive analytic of phone conversation with a customer using Azure Cognitive Services. You will see the power of modern Microsoft ecosystem and some examples of developer tasks which you will be able to perform after internship.
The power of chat-bots
We are living in an amazing time - when more and more things are automated. People have more valuable time with the IoT developing incredibly fast. To ride the crest of the wave, we should understand how to manage this environment. One example of how we might better manage this environment is through chat-bots, who can act as a mediator between humans and machines.
People Analytics with Viva Advanced Insights and Azure Machine Learning
Lets have fun on this session for beginners. We will analyze your and your team work patterns with the help of Power BI, Teams, Graph, Viva Advanced Insights, Azure Machine Learning Studio. No-code, live technical demo.
Improve the UX of Power Apps Canvas apps with Microsoft Application Insights
One of the important stages of the application life cycle is monitoring the user experience in order to identify bottlenecks and improve applications.
Microsoft offers a powerful service for collecting usage statistics - Application Insights. The integration of this service with Power Apps Canvas applications allows you to flexibly monitor user activity and make decisions on the development of the application based on the collected data.
In this session, we will look at how to set up Application Insights, options for integrating it into Power Apps Canvas apps, and learn how to build queries and collect data.
Document processing with Azure Form Recognizer and Dataverse
Documents are essential part of all companies. However document management could be challenged.
According research 21% overall staff productivity loss due to different document issues.
AI services helps to improve the document management experience by increasing speed and reducing errors.
In this session we will discuss how to build your own Microsoft Azure Form Recognizer model and use it for document processing. With trained model we will extract data from scanned PDF files, store them in Dataverse and visualize within a Power Apps application.
Building Power Apps Canvas App for training course management
We want to share with you our experience how to build your own solution for managing training course schedule based on hundreds microtopics. And how to control training course duration, consistency and attractiveness.
Boost employee wellbeing with data-driven insights from Microsoft Viva
Implementing a Digital footprint analysis system with Microsoft Viva Advanced Insights
Microsoft Viva Advanced Insights (former Workplace Analytics) overview
- Product features, data enrichment for analytics with data from HRM and CRM systems, data depersonalization, query builder, integration with pulse surveys, data visualization in Power BI reports
Advanced use cases for Microsoft Viva Insights:
- Building a predictive model for layoffs with Azure Machine Learning Studio
- Drawing up training plans and projects to change corporate culture based on the data of the received analytics
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