Join us this October & November in the META region to explore how leading organizations are unlocking the value of data, machine learning, and GenAI on AWS.
Learn how to build modern, cloud-native data architectures with AWS
Discover the latest in Amazon SageMaker, Bedrock, Redshift & more
Get real-world insights from AWS experts and regional success stories
Network with peers and innovation leaders across your industry and gain insights
01
Registration
Registration & Morning Coffee - 9:00 am
02
Welcome Note
10:00 am
03
Driving success with Noventiq DAML Framework
04
Designing Your Future-Ready Data Architecture
05
Coffee Break
11:30 am
06
Democratizing Data & AI Across Your Enterprise
07
Generative AI & Beyond: Real-World Impact with AWS AI Services
08
Real life scenarios & Open discussion
09
Lunch & Networking
1:30 pm
Data Platforms & Governance
Enable secure, scalable, high-performance data environments. We help unify data sources, enforce governance policies, improve compliance, and deliver real-time insights that drive smarter business decisions, innovation and sustainable growth.
Machine Learning MLOps
Build, deploy, and scale machine learning models efficiently. We support the full ML lifecycle—from experimentation and training to automated deployment, monitoring, and continuous performance improvement.
AI & Generative AI Solutions
Transform data into intelligence with advanced AI and GenAI capabilities. We help solve complex challenges through tailored, explainable, and scalable AI solutions that deliver tangible business outcomes.
Industry Data & AI Use Cases
Deliver outcome-driven solutions customized for industries. From predictive analytics to intelligent automation, we address sector-specific challenges with measurable impact, efficiency, and growth potential.
This roadshow is designed to address exactly that challenge. You’ll learn how to build a secure, unified data architecture on AWS that breaks down silos and turns raw data into real-time insights you can trust.
You’ll see how other organizations have moved from experimentation to production using Amazon SageMaker and MLOps best practices, so you can avoid common pitfalls and accelerate your AI adoption.
Yes. One of the sessions is dedicated to creating a data-driven culture, enabling self-service data access, and defining robust governance frameworks so your teams can innovate safely and effectively.
We’ll walk through practical use cases of generative AI and foundation models using Amazon Bedrock and Amazon Q, showing you exactly how these technologies can enhance customer experiences and drive business value.
Absolutely. The event includes guidance on hybrid and migration strategies that help you modernize at your own pace, whether you’re fully cloud-native or just getting started.
