Microsoft MVPs share their recommended content on school learning experiences, Microsoft Fabric, and Azure AI.
In this blog series dedicated to Microsoft's technical articles, we'll highlight our MVPs' favorite article along with their personal insights.
Peter ChunYu YAU, AI Platform MVP, Singapore
"As we transition into the post-COVID era, the evolving work culture continues to reshape our traditional perspectives on working, learning, and teaching. Blended learning and remote education have become irreversible trends, increasingly prevalent and widely accepted in higher education. The materials provided by Microsoft Learn offer an excellent foundation for education professionals, equipping them with the knowledge and skills to effectively integrate technology and master these emerging trends in real-world settings. This blog post will explore how these resources can be leveraged to enhance the learning experience and adapt to the changing educational landscape."
Matthias Falland, Data Platform MVP, Switzerland
Azure OpenAI for big data - Microsoft Fabric | Microsoft Learn
"I am excited to start building chatbots on top of Microsoft Fabric because it offers a powerful, integrated platform for leveraging AI technologies like OpenAI, allowing me to create intelligent, responsive, and scalable solutions. This approach simplifies the process of embedding AI capabilities directly into my workflows, enabling seamless interaction with data and users. While this is a big step forward, other valuable approaches, like Azure Search, are also worth exploring for enhancing chatbot functionality with advanced search capabilities, ensuring more comprehensive solutions across different use cases."
*Relevant Activity: Create your Chatbot on top of Fabric data right now! - ESPC Conference, 2024 (sharepointeurope.com)
Xavier Portilla Edo, AI Platform MVP, Spain
“I recommend this Microsoft tech content because it explores the profound evolution of Conversational AI, particularly in the context of blending deterministic and dynamic approaches, which is crucial for creating more human-like interactions. The article delves into how advancements in large language models (LLMs), such as GPT-4 and beyond, are transforming human-computer interactions. It emphasizes the need for AI agents to achieve a balance between structured, deterministic workflows and more fluid, creative responses. The content stands out for its detailed examination of how Microsoft technologies, like Azure OpenAI and Azure Bot Service, play a pivotal role in this evolution. These tools empower developers to build sophisticated AI agents capable of adapting to various conversational scenarios, enhancing their utility across industries such as education, customer service, and personal assistance."
*Relevant Blog: “It explains really well the future of conversations with the introduction of LLMs” The Evolution of Conversational AI. Blending Determinism with Dynamism (English) | Xavier Portilla Edo (xavidop.me)
Dicky Fung, AI Platform MVP, Hong Kong
“As Microsoft AzureAI MVP and AI solutions consultant, I often discuss with clients how to optimize the use of Azure OpenAI Service. Azure OpenAI Service offers flexible pricing options - the Standard (On-Demand) tier, the Provisioned Throughput Unit (PTU) tier, and the Global Batch Processing tier. These billing models each have their own focus and can meet the diverse needs of different customers.”
*Relevant Blog: Optimizing Azure OpenAI Service Costs: Choosing the Right Billing Model for Your Needs | LinkedIn
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