Unlocking the Power of Data Mesh: Navigating the Path to Successful Self-Service Analytics
As the federal government seeks to maximize the potential of its data, they are increasingly adopting Data Mesh and embracing domain-driven design principles. This approach aims to accelerate modernization efforts, facilitate data sharing across various mission areas, and ensure long-term interoperability. LMI, a trusted federal government partner for over 60 years, has been at the forefront of driving innovation and has actively embraced data modernization.
While many public sector leads are furiously working to support key data-focused mission objectives to enable users across agencies to operationalize data rapidly in support of a myriad of analytics use cases, LMI is both helping their government customers modernize but also embracing the same paradigms for internal efforts. Use cases range from simply improving decision support capabilities through more effective data visualization and dashboards, to enabling data scientists to rapidly build and test artificial intelligence (AI) models that can be deployed into productions for national security missions.
No matter where you are in your Data Mesh journey, hear from technology leaders at Snowflake, LMI, and Immuta in a session focused on the technological changes needed for a successful self-service model.
View the on-demand recording that covered:
- Lessons learned in moving to a self-service model for data analytics
- Choosing the right tools and technologies
- Creating a culture of success through self-service empowerment
- Where to start your modernization project
Speaker and Presenter Information
Chris Brown, Public Sector CTO, Immuta
Dr. Joseph Norton, Sr. Vice President, CTO, LMI
Matthew Rose, Industry Principal, Global Public Sector, Snowflake
Relevant Government Agencies
Other Federal Agencies, Federal Government
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