Product and Technology Leader for Amazon FinSpace (AWS) | Driving innovation to help capital markets customers get more value from data processing and analytics using AWS

KXCOm | Amazon Finspace with Managed kdb Insights | Keynote Presentation
KXCON23 | Amazon FinSpace with Managed kdb Insights | Keynote Presentation
Introduction
Good morning, everyone, and welcome to the KXCON23 keynote presentation on Amazon FinSpace with Managed kdb Insights.
I’m [your name], and I’m a Product and Technology Leader for Amazon FinSpace. I’m excited to be here today to talk to you about this new capability of Amazon FinSpace that makes it simple to configure, run, and manage kdb Insights on AWS.
What is Amazon FinSpace with Managed kdb Insights?
Amazon FinSpace with Managed kdb Insights is a fully managed service that enables financial institutions to run kdb Insights workloads on AWS. It provides a secure and scalable environment for running kdb Insights applications, and it makes it easy to integrate kdb Insights with other AWS services.
Benefits of Amazon FinSpace with Managed kdb Insights
Amazon FinSpace with Managed kdb Insights offers a number of benefits to financial institutions, including:
- Reduced costs: Amazon FinSpace with Managed kdb Insights eliminates the need to manage and maintain kdb Insights infrastructure. This can save financial institutions a significant amount of money.
- Increased agility: Amazon FinSpace with Managed kdb Insights makes it easy to scale kdb Insights workloads up or down as needed. This gives financial institutions the agility to respond to changing market conditions and business demands.
- Improved security: Amazon FinSpace with Managed kdb Insights provides a secure environment for running kdb Insights applications. It encrypts data at rest and in transit, and it uses role-based access control to restrict access to resources.
- Seamless integration with other AWS services: Amazon FinSpace with Managed kdb Insights integrates seamlessly with other AWS services, such as Amazon S3, Amazon Redshift, and Amazon SageMaker. This makes it easy to build and deploy data-driven applications on AWS.
Use cases for Amazon FinSpace with Managed kdb Insights
Amazon FinSpace with Managed kdb Insights can be used to support a variety of use cases, including:
- Real-time analytics: Amazon FinSpace with Managed kdb Insights can be used to perform real-time analytics on streaming data. This can be used to detect fraud, monitor market trends, and make real-time trading decisions.
- Backtesting: Amazon FinSpace with Managed kdb Insights can be used to backtest trading strategies and risk models. This can help financial institutions to make better investment decisions and reduce risk.
- Financial modeling: Amazon FinSpace with Managed kdb Insights can be used to build complex financial models. This can be used to price derivatives, calculate risk, and make investment decisions.
How to get started with Amazon FinSpace with Managed kdb Insights
Getting started with Amazon FinSpace with Managed kdb Insights is easy. You can create a Managed kdb Insights cluster from the AWS console, the AWS CLI, or the AWS SDK. Once you have created a cluster, you can start deploying your kdb Insights applications.
Conclusion
Amazon FinSpace with Managed kdb Insights is a powerful new capability that makes it easy to run kdb Insights workloads on AWS. It offers a number of benefits to financial institutions, including reduced costs, increased agility, improved security, and seamless integration with other AWS services.
I encourage you to learn more about Amazon FinSpace with Managed kdb Insights and to start using it to power your data-driven applications.
Thank you
Thank you for your time. I hope you have a wonderful KXCON23!