AWS PartnerCast

Join our dynamic panel discussion featuring experienced AWS Account Managers and Solution Architects as they unpack the most significant re:Invent announcements and their real-world impact. Our panel will share first-hand insights on customer reactions, practical implementation strategies, and effective ways to communicate these innovations to your clients. Learn which announcements are generating the most customer interest, how to position new services in your sales conversations, and gain valuable tips for turning re:Invent innovations into customer solutions. This interactive session will provide you with actionable insights to help your customers leverage AWS's latest capabilities.

In this cutting-edge session, we explore how Amazon Bedrock Guardrails, particularly its groundbreaking Automated Reasoning checks, is revolutionizing the development and deployment of AI applications. You will learn how to integrate automated reasoning into generative AI offerings, and adopt new standards for accuracy, compliance, and transparency in AI-driven solutions.We'll delve into how Automated Reasoning checks effectively combat one of the most significant challenges in large language models (LLMs) - hallucinations. Unlike traditional approaches that rely on prediction or guesswork, these checks employ sound mathematical techniques to verify responses against expert-created Automated Reasoning Policies, providing definitive proof of accuracy.Attendees will learn:How to leverage Automated Reasoning checks to detect and prevent LLM hallucinationsTechniques for creating and implementing Automated Reasoning Policies that encapsulate domain-specific knowledgeStrategies for validating generated content against complex rule sets, such as HR policies or operational workflowsMethods to explain and provide supporting evidence for AI-generated responses, enhancing transparency and trust By the end, participants will understand how to use Amazon Bedrock Guardrails to accelerate their AI application development, reduce risks associated with AI-generated content, and bring secure, compliant AI solutions to market faster than ever before.Join us to discover how Automated Reasoning is transforming the landscape of AI application development, making it possible to deploy AI solutions with confidence in even the most accuracy-critical scenarios.

Join us for our upcoming Migration Acceleration Program (MAP) series, designed to equip you with the latest insights and strategies for accelerating cloud migration and adoption. This three-part series, spanning February, March, and April, will dive deep into crucial aspects of cloud migration and business growth.In February, we'll explore key updates to Amazon Bedrock, enhancing your ability to build and scale generative AI applications. We'll also focus on Annual Recurring Revenue (ARR) strategies and pipeline building for 2025, setting the stage for sustainable growth.March's session will offer a comprehensive deep dive into revenue realization. We'll explore techniques and best practices to help you maximize and accelerate revenue from your cloud investments.Details for our April session will be announced shortly, ensuring content remains relevant to the latest industry developments and Partner needs.Don't miss this opportunity to gain valuable insights and strategies to drive your cloud migration success. Register now to secure your spot in this exclusive series.

This 3-part superclass series will take you through the recent announcement of Next Generation of Amazon Sagemaker Unified Data & AI platform and it's key capabilities to help build your data foundations on AWS. You will learn how the new sagemaker platform brings together a unified experience for data, AI projects with builder experience enhanced by Amazon Q Developer generative AI assistant. In this foundational course, you will learn the basic concepts, terms, use-cases and how to make use of the new features in sagemaker unified platform like Sagemaker Unified Studio, Sagemaker Lakehouse and Sagemaker catalog. You will learn how to bring existing S3 data lakes & Redshift data warehouses to the new open lakehouse and build data assets using Unified Studio and publish them as data products across your organization. This superclass series is meant to build your knowledge on AWS data foundations and targeted at data engineers, big data professionals, data scientists, data analysts and consultants.Session 1: Building Data Foundations using Amazon Sagemaker Unifed StudioSession 2: Unified open lakehouse on Amazon SageMaker Lakehouse for advanced analytics & AI applicationsSession 3: GenAI Powered Data Governance using Sagemaker Catalog

In this session, we will provide an overview of various AWS for SAP offerings and capabilities that will help partners to migrate and modernize customer's SAP landscapes on cloud. Attendees will gain insights into AWS services that support SAP RISE migrations as well as other AWS services that can help extend SAP business processes on cloud. We will review various Generative AI services that are available for SAP customers to build next generation AI powered applications. Attendees will also learn about how enterprises can leverage SAP GenAI Hub in SAP BTP powered by AWS to enable custom AI functionality across business functions including Finance, Human Resources and others. Finally, we will also touch on AWS analytics capabilities that can augment customer's data strategy.

Join us for our upcoming Migration Acceleration Program (MAP) series, designed to equip you with the latest insights and strategies for accelerating cloud migration and adoption. This three-part series, spanning February, March, and April, will dive deep into crucial aspects of cloud migration and business growth.In February, we'll explore key updates to Amazon Bedrock, enhancing your ability to build and scale generative AI applications. We'll also focus on Annual Recurring Revenue (ARR) strategies and pipeline building for 2025, setting the stage for sustainable growth.March's session will offer a comprehensive deep dive into revenue realization. We'll explore techniques and best practices to help you maximize and accelerate revenue from your cloud investments.Details for our April session will be announced shortly, ensuring content remains relevant to the latest industry developments and Partner needs.Don't miss this opportunity to gain valuable insights and strategies to drive your cloud migration success. Register now to secure your spot in this exclusive series.

Join this session to learn how AWS sovereign cloud offerings, ranging from encryption services to the announced AWS European Sovereign Cloud, provide more control and choice to help meet your unique needs. Discover how AWS Partners can help keeping critical workloads secure and protected when using new technologies on AWS including generative AI, and learn about new digital sovereignty solutions offered by AWS Partners.

This 3-part superclass series will take you through the recent announcement of Next Generation of Amazon Sagemaker Unified Data & AI platform and it's key capabilities to help build your data foundations on AWS. You will learn how the new sagemaker platform brings together a unified experience for data, AI projects with builder experience enhanced by Amazon Q Developer generative AI assistant. In this foundational course, you will learn the basic concepts, terms, use-cases and how to make use of the new features in sagemaker unified platform like Sagemaker Unified Studio, Sagemaker Lakehouse and Sagemaker catalog. You will learn how to bring existing S3 data lakes & Redshift data warehouses to the new open lakehouse and build data assets using Unified Studio and publish them as data products across your organization. This superclass series is meant to build your knowledge on AWS data foundations and targeted at data engineers, big data professionals, data scientists, data analysts and consultants.Session 1: Building Data Foundations using Amazon Sagemaker Unifed StudioSession 2: Unified open lakehouse on Amazon SageMaker Lakehouse for advanced analytics & AI applicationsSession 3: GenAI Powered Data Governance using Sagemaker Catalog

Amazon ECS is a great fit for building scalable and secure multi-tenant SaaS applications mainly because the native integration support it provides with various AWS services for implementing multi-tenant features. Combining ECS application plane with SBT provides an elevated value proposition for building operationally efficient SaaS, also to seamlessly modernize applications in to SaaS delivery model on AWS. This session dives into details of implementing different tenant isolation strategies, tier-based deployment, handling noisy neighbors, and scaling request routing by leveraging Amazon ECS. We'll also explore how newly launched AWS ECS SaaS reference architecture empowers partners with best practices to drive their SaaS modernization journey with a demo of building a functional multi-tenant SaaS on ECS illustrating its effectiveness in reducing development time and accelerate time to market.

Join us for a comprehensive technical deep dive into building enterprise-ready Generative AI solutions using Amazon Bedrock and Amazon Q. This session will equip partners with practical knowledge across three critical areas of GenAI implementation.We'll start by exploring advanced development patterns in Amazon Bedrock, including foundation model selection, Retrieval Augmented Generation (RAG) architectures, and fine-tuning strategies for building production-grade applications. You'll learn best practices for integrating enterprise data sources, optimizing model performance, and managing costs effectively.Next, we'll demonstrate Amazon Q's enterprise capabilities, showcasing integration patterns for business productivity and developer workflows. Learn how to customize Q for specific business domains, implement code assistance features, and leverage its operational support capabilities within existing enterprise systems.The session will conclude with essential security and governance frameworks for GenAI implementations. We'll cover data governance, access controls, prompt filtering, and compliance considerations crucial for enterprise deployments. You'll gain practical insights into implementing responsible AI practices while maintaining robust security standards.Through live demonstrations and real-world examples, partners will gain the technical depth needed to architect, build, and deploy secure, scalable Generative AI solutions for their customers.Technical Areas Covered:* Foundation model implementation and RAG architectures* Fine-tuning strategies and cost optimization* Amazon Q integration patterns and customization* Security controls and governance frameworks* Responsible AI practices* Enterprise deployment strategiesTarget Audience: Solutions Architects, Technical Leaders, and Developers working with enterprise customers on Generative AI initiative

This session explores the practical implementation of Event-Driven Architecture (EDA) using Amazon ECS with AWS Fargate, highlighting how organizations can build flexible and resilient systems.

Join us for an insightful session on modernizing your IBM AS/400 (IBM i) workloads to AWS using Base100's innovative Caravel solution. This comprehensive event will demonstrate how enterprises can seamlessly transition their legacy AS/400 applications to a modern, scalable cloud infrastructure while preserving business logic and reducing operational costs.Discover how this partnership between AWS and Base100 helps organizations: