AWS re:Invent 2025

[Session] How to build high quality data products for AI Agents

AI agents are only as effective as the data they rely on. This chalk talk focuses on how to build and manage high-quality data products and contextual information for use by AI agents. You'll learn how to deliver accurate, up-to-date, and well-governed data for AI systems, including context engineering, RAG strategies, fine-tuning dataset curation, and automated quality checks. We'll cover how to manage AI context, handle data drift, and perform classical data management activities in the Agentic AI world.

AWS Summit Zurich

[Session] How Amazon SageMaker simplifies data access with Lakehouse architecture

Data warehouses, data lakes, or both? Explore how Amazon SageMaker Lakehouse, a unified, open, and secure data lake house simplifies analytics and AI. This session unveils how SageMaker Lakehouse provides unified access to data across Amazon S3 data lakes, Amazon Redshift data warehouses, and third-party sources without altering your existing architecture. Learn how it breaks down data silos and opens your data estate with Apache Iceberg compatibility, offering flexibility to use preferred query engines and tools that accelerate your time to insights. Discover robust security features, including consistent fine-grained access controls, that help democratize data without compromises.

Data Unification Day, Berlin

[Session] Connecting the data dots with governance

AWS Summit Hamburg

[Session] Re:Think the data user experience with Amazon SageMaker Unified Studio

Embark on a journey through Amazon SageMaker Unified Studio, where we will explore how to re-imagine the data user experience. This session uncovers how organizations can break down silos and accelerate innovation by bringing together data scientists, data analysts and ML engineers in a single, governed environment. Discover how you can leverage Amazon SageMaker Lakehouse to eliminate the traditional silos by providing seamless access to your organization's data assets, regardless of where they reside

AWS Data and AI Day - Copenhagen

[Session] Re:Think the data user experience with Amazon SageMaker Unified Studio

AWS re:Invent 2024

[Session] Democratize generative AI data access without compromising on security

Building a generative AI application requires a seamlessly integrated centralized service for data governance and access controls. Using Amazon DataZone, organizations can maintain robust data governance and security access controls to make their data securely available for generative AI projects across business teams. Join this chalk talk to learn how Amazon DataZone enables data asset discovery through comprehensive metadata descriptions, data quality metrics, and lineage reporting. This talk also covers automated infrastructure provisioning, end-to-end auditing, and access grants for managed Amazon Redshift assets.

Unlock the Power of Data & AI, Berlin

[Session] Data Foundation for generative AI

Effective generative AI requires a strategic, data-centric approach, as high-quality, relevant data is a key differentiator. This session explores the data tools and patterns needed to fuel a generative AI strategy and transform generic AI applications into tailored solutions that deeply understand a business and its customers.

Data & AI Day | Data Governance, Generative BI and NoCode ML - Amsterdam

[Session] Build a data marketplace with Amazon DataZone

AWS Summit Berlin

[Session] Vector database and zero-ETL capabilities for Amazon OpenSearch Service

Join us for a deep dive into the latest Amazon OpenSearch Service announcements made this week. Get more details on the new capabilities for the vector engine for Amazon OpenSearch Serverless, and learn how you can efficiently store and query billions of vector embeddings without managing your vector database infrastructure. Hear all about the new zero-ETL integration that rearchitects the OpenSearch query engine to support analysis of data stored in Amazon S3, along with the zero-ETL integration with Amazon DynamoDB. Finally, see how the new instance type helps you get a price performance boost while also increasing data reliability and durability.

Berlin Housewarming Event

[Workshop] Share data across Regions & organizations for near real-time insights

In this workshop, you will learn how to share data across organization using Amazon Redshift and Amazon Lake Formation. Amazon Redshift Datashares can be shared within and outside the AWS account. In this lab you will get hands-on experience with creating a datashare and sharing that datashare via a centrally managed account. The central management account will leverage AWS LakeFormation to manage the access to the consumer accounts.

Data & AI Day | Data Governance, Generative AI/BI and NoCode ML

[Session] How to build a data marketplace with Amazon DataZone

Link to the Event experience :https://vimeo.com/936919886

Data Governance Workshop

[Session] Why Data Quality is Importance Than Ever in AI Driven World

Data Quality is crucial in AI as it directly impacts the performance and accuracy of AI Models. Learn why data quality is not just a best practice but a strategic imperative. Learn how AWS Glue Data Quality builds confidence in your data by ensuring high data quality. It automatically measures, monitors, and manages data quality in your data lakes and data pipelines, so it’s easier to identify missing, stale, or bad data.

Democratize Data and Build Data Marketplace with Amazon DataZone

[Session] Build a data mesh architecture with Amazon DataZone

This session delves into the transformative capabilities of Amazon DataZone, exploring its role in contextual data understanding, centralized catalog creation, and seamless governance. We explain how DataZone empowers administrators and data stewards to manage access ,ensuring security and contextual relevance. Witness a demo where we will showcase how to build and accelerate a data mesh architecture using Amazon DataZone.

Low code data engineering with AWS Glue

[Session] AWS Glue Data Quality

This session presents how you can automatically generate, modify, and execute data quality rules based on the content of your datasets, to achieve better outcomes from your analyses.

AWS Cloud Day Prague

[Session] Data Mesh – Successful with People, Process and Technology

Data mesh is not just a new architecture or a technology.
It's an organizational paradigm shift in how companies create value from data to overcome the drawbacks of data warehouse and data lake approaches. Responsibilities need to go back where they belong, in the hands of producers and consumers, taking advantage of a self-service data platform. This talk explains data mesh holistically, discussing choices organizations face when implementing a data mesh.
The talk is applicable to decision makers, architects, data engineers and data scientists.

AWS for Data Symposium Munich

[Session] Deep Dive: Zero ETL

In this session, you will learn how to simplify data processing without establishing and maintaining complex ETL pipelines using Zero ETL approach with AWS services.

World of Data

Data Transformation Day BeNeLux

[Session] Workload workout: Why choosing your data solutions based on workload requirements can reduce costs while increasing performance

AWS Modern Strategy leverages the power of using purpose build compute for your workloads. However, how can we choose the correct service for the business problem. In this session we will demonstrate different business cases and how using a modern data with the proper services help customers optimize their workloads