This book serves as a comprehensive guide to mastering Microsoft Power Automate, offering step-by-step instructions for creating and managing low-code workflows. From beginner to advanced techniques, it covers cloud and RPA functionalities, enhanced by AI features like Co-pilot. You'll gain the skills to build, analyze, and optimize powerful automations tailored to your organization's needs. What this Book will help me do Understand and implement workflows using Power Automate's connectors and triggers for seamless integration. Utilize AI Builder and the Co-pilot feature to design intelligent workflows with generative AI capabilities. Master robotic process automation to bridge digital and legacy systems effectively. Learn to monitor and troubleshoot workflows while ensuring security and compliance in automation. Scale and govern enterprise-level workflows with best practices for maintainability. Author(s) Aaron Guilmette is a seasoned expert in the field of workflow automation with extensive experience in the Microsoft ecosystem. As the author of multiple books on Power Automate, Aaron combines technical depth with practical know-how. He brings a hands-on approach to guiding readers through advanced features, making automation accessible and effective. Who is it for? This book is ideal for power users, information workers, and citizen developers looking to integrate automation into their work. Whether you're new to automation or expanding your skills, this book provides actionable insights. Familiarity with the Microsoft 365 platform is recommended but not required, as the book covers foundational as well as advanced topics. It is perfect for anyone aiming to streamline workflows and drive efficiency in their projects or organization.

With an innovative architecture that decouples compute from storage and advanced features like Amazon Aurora Global Database and low-latency read replicas, Aurora reimagines what it means to be a relational database. Aurora is a built-for-the-cloud, serverless relational database service that delivers unparalleled performance and availability at global scale for MySQL, PostgreSQL, and DSQL. In this session, dive deep into new features – and Aurora’s most popular offerings including serverless, I/O-Optimized, zero-ETL integrations, MCP integration, and generative AI support for vector search and storage. Also learn about the groundbreaking Aurora DSQL engine.

Learn more: More AWS events: https://go.aws/3kss9CP

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Learn how to build efficient generative AI solutions using AWS services like SageMaker and Bedrock. We'll explore practical optimization techniques including quantization and pruning, along with cost-saving infrastructure features such as spot instances and intelligent storage tiering. Discover how to leverage AWS's native capabilities to create high-performance AI solutions that are both environmentally conscious and budget-friendly.

Learn more: More AWS events: https://go.aws/3kss9CP

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Building sustainable, cost-effective generative AI on AWS requires integrating agentic AI, efficient architecture, and cloud-native optimization. Agentic systems using Amazon Bedrock AgentCore employ contextual memory, asynchronous execution, and on-demand tool invocation to minimize compute waste. MCP enables secure connections between AI agents, AWS services, and custom tools. Efficiency increases through AWS's Trainium and Inferentia2 silicon (50% better performance per watt), Amazon SageMaker for scalable development, and optimization techniques like quantization and speculative decoding. Auto-scaling, batch processing, and spot instances prevent over-provisioning. Combined with CloudWatch and Cost Explorer monitoring, this approach delivers high-performance, low-carbon generative AI solutions.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

As organizations mature their generative AI strategy, more complex use cases emerge. Originally focused on unstructured data, organizations now require structured data as a source of knowledge for AI applications. This session will showcase a method for storing and accessing structured and unstructured data in tandem through an AI agent. Learn how to put text data into a vector store and create a text-to-SQL system with advanced knowledge bases, then efficiently direct user questions using AI agents for a smooth user experience. This approach demonstrates how to leverage both structured and unstructured data sources to enhance the capabilities of generative AI systems in enterprise environments.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Learn how AWS can help you with data integration and preparing data for analytics, machine learning (ML) and generative AI workloads. Explore new capabilities that enable your users to have controlled access to all relevant data, easily build and maintain scalable and resilient data pipelines, and enhance decision-making quality,all with exceptional price performance. See how zero-ETL and query federation can complement ETL and ELT data pipelines.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

In this session, learn about new Amazon Neptune capabilities for high-performance graph analytics and queries over data lakes to unlock the implicit and explicit relationships in your data, driving more accurate, trustworthy generative AI responses. We'll demonstrate building knowledge graphs from structured and unstructured data, combining graph algorithms (PageRank, Louvain clustering, path optimization) with semantic search, and executing Cypher queries on Parquet and Iceberg formats in Amazon S3. Through code samples and benchmarks, learn advanced architectures to use Neptune for multi-hop reasoning, entity linking, and context enrichment at scale. This session assumes familiarity with graph concepts and data lake architectures.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

You've seen the potential of agentic AI through proof-of-concepts, and you're ready to build a foundation that can support all AI applications across your organization. Enter the complexities: model access and management, tool discovery, memory and state handling, observability, plus deployment and operations at scale! In this session we'll demonstrate how to build a well-architected foundation that seamlessly integrates model access, orchestration workflows, agents, tools and domain-specific data pipelines while maintaining enterprise-grade observability and governance controls. We'll examine components of a production-ready generative AI and agentic system and dive deep into the architectural patterns that separates successful deployments from failed experiments.

Learn more: AWS re:Invent: https://go.aws/reinforce. More AWS events: https://go.aws/3kss9CP

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ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

This session will focus on the latest Industry & LOB solutions, from Generative AI solutions in radiology to geospatial modeling for power. We will explain the opportunity for AWS Partners to increase visibility of their offerings, as well as develop joint business with AWS and we unlock new innovations for customers. We will share with partners the approach AWS is taking to address key industry use cases with Agentic AI, via partner solutions running on AWS.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Enterprise analytics platforms are undergoing a major transformation—from centralized, overloaded data warehouses to federated, governed, GenAI-ready multi-warehouse architectures. In this session, you’ll learn how to design your data warehouse architecture to scale with your business needs. We’ll explore the end-to-end architectural evolution from a monolithic Redshift cluster to a modern multi-warehouse architecture and the best practices to deploy them in a cost-effective manner.

Learn more: More AWS events: https://go.aws/3kss9CP

Subscribe: More AWS videos: http://bit.ly/2O3zS75 More AWS events videos: http://bit.ly/316g9t4

ABOUT AWS: Amazon Web Services (AWS) hosts events, both online and in-person, bringing the cloud computing community together to connect, collaborate, and learn from AWS experts. AWS is the world's most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers—including the fastest-growing startups, largest enterprises, and leading government agencies—are using AWS to lower costs, become more agile, and innovate faster.

AWSreInvent #AWSreInvent2025 #AWS

Send us a text We go inside Mediahuis to see how a small GenAI team is transforming newsroom workflows without losing editorial judgment. From RAG search to headline suggestions and text‑to‑video assists, this episode shares what works, what doesn’t, and how adoption spreads across brands. You’ll hear about: Ten priority use cases shipped across the groupHeadline and summary suggestions that boost clarity and speedRAG‑powered search turning archives into instant contextText‑to‑video tools that free up local video teamsThe hurdles of adoption, quality, and scaling prototypes into productionTheir playbook blends engineering discipline with editorial empathy: use rules where you can, prompt carefully when you must, and always keep journalists in the loop. We also cover policies, guardrails, AI literacy, and how to survive model churn with reusable templates and grounded tests. The result: a practical path to AI in media — protecting judgment, raising quality, and scaling tools without losing each brand’s voice. 🎧 If this sparks ideas for your newsroom or product team, follow the show, share with a colleague, and leave a quick review with your favorite takeaway.

Deliver measurable business value by applying strategic, technical, and ethical frameworks to AI initiatives at scale Free with your book: DRM-free PDF version + access to Packt's next-gen Reader Key Features Build AI strategies that align with business goals and maximize ROI Implement enterprise-ready frameworks for MLOps, LLMOps, and Responsible AI Learn from real-world case studies spanning industries and AI maturity levels Book Description AI is only as valuable as the business outcomes it enables, and this hands-on guide shows you how to make that happen. Whether you’re a technology leader launching your first AI use case or scaling production systems, you need a clear path from innovation to impact. That means aligning your AI initiatives with enterprise strategy, operational readiness, and responsible practices, and The AI Optimization Playbook gives you the clarity, structure, and insight you need to succeed. Through actionable guidance and real-world examples, you’ll learn how to build high-impact AI strategies, evaluate projects based on ROI, secure executive sponsorship, and transition prototypes into production-grade systems. You’ll also explore MLOps and LLMOps practices that ensure scalability, reliability, and governance across the AI lifecycle. But deployment is just the beginning. This book goes further to address the crucial need for Responsible AI through frameworks, compliance strategies, and transparency techniques. Written by AI experts and industry leaders, this playbook combines technical fluency with strategic perspective to bridge the business–technology divide so you can confidently lead AI transformation across the enterprise. Email sign-up and proof of purchase required What you will learn Design business-aligned AI strategies Select and prioritize AI projects with the highest potential ROI Develop reliable prototypes and scale them using MLOps pipelines Integrate explainability, fairness, and compliance into AI systems Apply LLMOps practices to deploy and maintain generative AI models Build AI agents that support autonomous decision-making at scale Navigate evolving AI regulations with actionable compliance frameworks Build a future-ready, ethically grounded AI organization Who this book is for This book is for AI/ML leaders and business leaders, CTOs, CIOs, CDAOs, and CAIOs, responsible for driving innovation, operational efficiency, and risk mitigation through artificial intelligence. You should have familiarity with enterprise technology and the fundamentals of AI solution development.

Discover how Microsoft and top media partners are reshaping Media & Entertainment with AI and the Microsoft Cloud. Learn how Azure, Fabric, and generative AI are powering faster content creation, smarter workflows, and immersive audience experiences—featuring real-world innovations in storytelling, distribution, and monetization.

This hands-on workshop will introduce participants to the fundamentals of automated AI red teaming generative AI systems for safety and security risks using Microsoft Foundry. Attendees will learn how to apply automated attack techniques to identify safety issues and security vulnerabilities across multiple risk dimensions before deployment. Participants will engage in hands-on walkthroughs and guided exercises to apply these concepts in realistic development scenarios.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Are you prepared to seize the growing opportunity in data security? With Microsoft Purview, organizations gain end-to-end visibility into their data landscape, from on-premises to cloud environments. See how the Data Security solution play empowers you to develop practical, scalable engagement models for organizations of any size—including guidance for securing generative AI scenarios. Leverage resources & incentives to protect customer data, build trust, and unlock new business growth.

Deep Intelligent Pharma (DIP) unveils a multi-agent Generative AI system for the entire clinical trial lifecycle. Building on AI protocol design, it designs optimized protocols and performs end-to-end "dry runs" using synthetic data, generating all trial documentation and identifying risks proactively. In live trials, AI agents automate data collection, analysis, and reporting, accelerating processes and ensuring extraordinay efficiency and data integrity from start to finish.

SAP delivers powerful Business AI by streamlining processes, automating workflows, and empowering your workforce with generative AI contextualized with core business data. Experience how you can deploy seamless integrations between SAP’s AI assistant, Joule, and Microsoft Copilot, delivering real-time insights and showing how SAP and Microsoft can transform your organization and make AI central to how you operate and innovate.

Microsoft is enabling energy companies to tackle complex decarbonization challenges using AI-powered solutions. In this session we will highlight use cases like methane emissions detection, predictive maintenance, and generative AI for permitting workflows—demonstrating how agentic AI and copilots are helping reduce emissions, streamline compliance, and unlock operational efficiency.

Join us to explore how Microsoft and Lenovo are transforming hybrid cloud and AI use cases with Azure Local powered by Lenovo's latest Server Platforms. Discover how customers are moving from legacy environments to Azure Local to unlock new AI-driven possibilities from real-time video analytics and predictive maintenance to medical diagnostics and low-latency inferencing. Hear directly from a customer about their Azure Local journey and how Lenovo and Microsoft are redefining what's possible.

Join us for a hands-on workshop showcasing the latest Azure SQL innovations to supercharge your applications. Learn how to harness generative AI alongside Azure SQL Database to elevate your data strategies with AI concepts like language models, prompt engineering, Retrieval Augmented Generation (RAG) and streamline with Microsoft Copilot. Whether you're a developer, architect, or IT professional, this workshop is your ticket to mastering SQL and AI to stay ahead in the data-driven landscape.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.