Accelerate Customer 360 strategy on AWS

Data is dynamic and comes in different formats which makes it challenging to extract value. A modern data strategy can help you manage, act on, and react to your data so you can make better decisions,

To make decisions quickly, organizations want to store any amount of data in open formats, break down disconnected data silos, empower people to run analytics or machine learning using their preferred

While data is abundant and growing rapidly, just producing or storing a lot of it does not automatically create value. Value is realized by creating a data-driven culture that leverages data to invent

A well-defined data architecture and effective data management approaches are key foundational pillars for organizations looking to building a modern data strategy to quickly deliver insights. In this

Organizations are looking to connect customer data across all touchpoints of customer journey to better understand their requirements and offer hyper personalized experiences. To realize the goals of

Data is playing a pivotal role in digital transformation in regulated industries including public sector. This session outlines how organizations such as education, government, utilities, and healthca

Data is the change agent driving digital transformation. The variety of data and workloads and the need for resiliency in shared data environments make storage choices critical to every application. I

At AWS, we recognize that protecting customer data and earning customer trust and are key priorities for many organizations. This session shares how to build the right strategy that aligns people, pro

In this session, learn what is generative AI on AWS and uncover benefits of leveraging the technologies to deliver outcomes including reinventing your applications, create innovative customer experien

Generative AI is a powerful technology that can generate realistic and creative content. In this session, we explain to building and deploying Generative AI solution with Stability AI and Hugging Face

Many organizations are trying to extract insights from customer interactions across multiple channels to elevate the customer experience but face challenges including scattered content and data silos.

In this session, learn how to implement Retrieval Augmented Generation (RAG) using Amazon Kendra and SageMaker hosted LLM (Large Language Models) to address data privacy and data residency concerns. W

Recent advances in generative AI make it the most disruptive set of technologies and capabilities to hit the global market in decades. Organizations can look at how to reinvent applications, create ne

Creating superhero avatars with generative AI on AWS and Stable Diffusion (Level 200) Stable Diffusion is a deep learning model that allows you to generate realistic, high-quality images and stunning

In this builders’ demo, we walk through the step by step guide on how you can provide your users with the ability to bring content from virtually any format, enabling them to gather meaningful insight

Generative AI can be used for various use cases across different industries to achieve different outcomes including transforming customer experiences, boosting employee productivity, improving operati

Dashboards are meant to answer questions. While some questions are easy to anticipate for dashboard authors, but what happens when ML-generated insights, such as anomaly in the data surface questions

Join this session as we show how to leverage the foundation models provided by Amazon SageMaker Jumpstart to build a multi-functional chatbot. We walk through how to build chatbot which can generate b

Finding the right approach of moving data workloads to the cloud can be daunting, but it is critical to ensure organizations can quickly reap the benefits such as increased agility, flexibility, and d

Customers are storing petabytes of archival data in Amazon S3 and the default choice for archival is Amazon S3 Glacier or Glacier Deep Archive for low-cost data archiving and long-term backup. Besides