How do you move from hype to substance when it comes to generative AI? That’s the key question that all leaders are going to have to answer if they want to prepare their organizations to adopt this transformational technology. Hear from Tom Godden, Director of Enterprise Strategy at AWS, on how leaders can usher in the right mindset, strategy, and tools to translate the promise of generative AI into real business value. You will learn how customers are leveraging their data to successfully deploy generative AI now and leave with practical information on how to develop a generative AI strategy that works for your company including best practices on selecting use cases, responsible use, and more.

Eager to your fundamental operation for the on-premises licenses handle at ease? AWS Database optimization & licensing assignment is a program that helps customers to assess and optimize their on-premises and cloud database environments, reduce required instances and licenses, and enhance resource efficiency. It also provides a comprehensive report that models the deployment options based on actual resource use and existing licensing entitlements.

Enterprises now are having their log sources on different environments across multiple locations and multiple clouds which is highly challenging for IT admin to monitor, troubleshoot and ensure security compliance effectively. Based on the open source technology, Graylog's centralized log management solution collects your multi-cloud logs and on-premises logs and consolidates them into a single platform helping the IT admin to detect threats and respond to the incidents.

Animcoa brands, the Web3 leader with a vast portfolio of blockchain and gaming products, are utilizing a data driven approach to analyze Web3 project performance for decision making. In this session, you will learn how they leverage AWS to build a scalable data platform architecture, to consume both Web2 and Web3 data in near real time and create data insights to support growth and operations.

In this session, BBMSL will share their journey building a scalable data warehouse on AWS for payment processing analytics. Hear how they leveraged AWS services like AWS Glue, AWS Lambda, Amazon S3 and partner tools to transition data from on-prem to AWS and power analytics at scale.

This session will showcase an end-to-end implementation of a large language model (LLM) chatbot with generative AI and its analytics module running on AWS. You'll also learn how the analytics module enables understanding chatbot conversations and optimizing the experience. Discover how GenAI streamlines chatbot development and deployment on AWS for scalability and reliability.  

AI is not replacing artists, it's amplifying creativity. Just as machines amplified factory workers' productivity, creative AI allows human artists to be more prolific, inventive, and impactful. We'll explore real examples of artists productively partnering with AWS AI/ML Services to unlock new creative possibilities and take their art to the next level. The dawn of human-AI collaboration marks an historic creative renaissance.

Over the course of 60 minutes, leaders learn about the generative artificial intelligence (generative AI) factors that help them make clear decisions on projects that incorporate artificial intelligence. You will learn about the basics of generative AI terminology and the potential benefits and risks of using generative AI. You will also learn the steps for planning a generative AI project and the key considerations for building a generative AI-ready organization.

The AWS Certified Machine Learning – Specialty exam validates a candidate's ability to design, implement, deploy, and maintain machine learning (ML) or deep learning (DL) solutions for given business problems. The Get Cert Exam Readiness Training explores the exam’s topic areas, shows how they relate to machine learning on AWS, and also maps them to machine learning and deep learning foundational areas for future self-study. It includes sample exam questions from each domain and discussions of concepts being tested to help test-takers better eliminate incorrect responses.

Get introduced to the fundamentals of generative AI and large language models. We'll cover core concepts like foundation models, model architectures, training techniques, and prompt engineering.

Join us for this session to learn how vector databases can improve the accuracy and relevance of generative AI applications by providing domain-specific context. We will explain what vector databases are, how they work with large language models to enable retrieval-augmented generation (RAG), and key considerations when implementing a vector database.

Join this session to learn how to fine-tune a large language model. Yanwei and Eunice will share the best practices for data collection, including domain adaptation fine-tuning and instruction fine-tuning.

Unlock the secrets to building scalable, reliable production workloads featuring AWS Well-Architected for Generative AI and Guardrails. Join our Solutions Architect, Hei, and Kane from ThinkCol, our AWS customer, to learn best practices for achieving scalability, optimizing performance, ensuring security, and obtaining valuable insights that will empower you to elevate your organization's infrastructure to new heights.