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. Or even easier - you can use Pipelines in the Managed Environment. 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, flows and tables that you've created in Dataverse for Teams using just the Microsoft 365 E3 license and Azure DevOps. We will tell you about all the challenges that you may encounter on this journey and show you how to solve them. At the end of this session, we will have pipelines ready to automatically deploy our application from one Dataverse for Teams environment to another.

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!

Navigate the dynamic evolution of sales and communication in the post-pandemic landscape with innovative, data-driven strategies to supercharge your sales team. As digital marketing tools and digital-native generations ascend, crafting high-quality, modern, and demonstrably effective sales training becomes paramount. Imagine harnessing detailed, anonymized working patterns of your top-performing salespeople to sculpt training programs, define work standards, devise evaluation methods, and set benchmarks for your entire sales team. This session will serve as your compass, guiding you through the nuances of utilizing Viva Advanced Insights, Azure Machine Learning and Power BI to empower your sales strategies by: - Extracting anonymized data regarding the working styles of your sales team. - Augmenting this data with performance metrics from your CRM system. - Leveraging Azure Machine Learning to distill the pivotal factors influencing sales triumph. Embark on this journey to unearth potent, data-driven sales training methods, acquire practical knowledge, and apply learned strategies to amplify your team’s performance and catalyze business growth. Ensuring that your sales team is not only keeping pace with the rapid shifts in sales technology and methodology but also leveraging them to optimize their performance.

In the evolving landscape of AI-driven chatbots, a paramount challenge lies in the chatbot's capability to accurately interpret and classify a user's intent. This critical step is foundational for delivering precise and contextually relevant responses to user inquiries, thereby elevating user experience and satisfaction. The essence of refining chatbot interactions lies in the precision of query classification. By accurately identifying user intent, chatbots can offer responses that are not just accurate, but also highly relevant to the user's specific context. This optimization is key to boosting the performance of digital assistants across a myriad of applications. Our approach centers on leveraging Azure ML Prompt Flow, an innovative tool designed to enhance chatbots' comprehension and categorization of user queries. Through the integration of Prompt Flow, we can significantly refine how chatbots analyze and classify queries, paving the way for responses that are more aligned with user expectations. This interactive session will walk participants through the seamless process of incorporating Prompt Flow into Azure ML and its synergy with Azure OpenAI to amplify chatbot interactions. Attendees will delve into the technical nuances of query classification and discover the essential steps for embedding Prompt Flow into their chatbot frameworks. By the session's conclusion, participants will have mastered configuring an endpoint through Azure ML to boost chatbot query understanding and response accuracy. Importantly, this endpoint will be versatile, ready to enhance chatbot functionality across various user interfaces, including Copilot Studio, customer portals, apps, and internal platforms, ensuring a broad and effective deployment of your chatbot solutions.