Select your cookie preferences

We use essential cookies and similar tools that are necessary to provide our site and services. We use performance cookies to collect anonymous statistics, so we can understand how customers use our site and make improvements. Essential cookies cannot be deactivated, but you can choose “Customize” or “Decline” to decline performance cookies.

If you agree, AWS and approved third parties will also use cookies to provide useful site features, remember your preferences, and display relevant content, including relevant advertising. To accept or decline all non-essential cookies, choose “Accept” or “Decline.” To make more detailed choices, choose “Customize.”

AWS Logo
Menu
Generative AI with Informatica IDMC and Amazon Bedrock | S02EP31 | Lets talk about data show

Generative AI with Informatica IDMC and Amazon Bedrock | S02EP31 | Lets talk about data show

Discover how trusted, governed data enhances generative AI accuracy with Informatica's Intelligent Data Management Cloud™ (IDMC) and Amazon Bedrock! We will explore architectural blueprints for building enterprise-grade generative AI applications.

amazon-bedrockinformaticagen-aidata-managementdata-integration
Lydia Ray
Amazon Employee
Published Aug 21, 2024
Comments
In this session, we explore how Informatica's Intelligent Data Management Cloud (IDMC) and Amazon Bedrock can work together to enhance the accuracy and trustworthiness of generative AI applications within the enterprise. Rajeev and Weifan delved into the importance of data quality, governance, and context in powering enterprise-grade generative AI use cases. They discussed how IDMC's capabilities in data discovery, integration, cleansing, and mastering can provide the high-quality, secured data foundation required for reliable generative AI models. Additionally, they highlighted the benefits of leveraging Amazon Bedrock's model-as-a-service approach and the role of vector databases in facilitating seamless integration between data management and generative AI. The session provided practical insights and architectural blueprints for building generative AI applications that are grounded in the realities of the enterprise data landscape.
Key Highlights:
  • Importance of data quality, governance, and context for enterprise-grade generative AI.
  • IDMC's capabilities in data discovery, integration, cleansing, and mastering to enable trusted data foundations.
  • Benefits of Amazon Bedrock's model-as-a-service approach and the role of vector databases.
  • Practical insights and architectural blueprints for building enterprise-grade generative AI applications.
  • Emphasis on machine learning fundamentals and continuous learning for optimal generative AI outcomes.
  • Guidance on rate limiting and cost management strategies for generative AI workloads.
  • Focus on security, privacy, and compliance considerations for sensitive data in generative AI use cases.
To view this Twitch stream, please accept cookies.
Hosts of the show 🎤
Lydia Ray - Sr Analytics Solutions Architect @ AWS
Guests 🎤

Links from today's episode

Any opinions in this post are those of the individual author and may not reflect the opinions of AWS.

Comments

Comments

Log in to comment