Data fuels the AI economy. But managing enterprise data systems that support modern application development and AI-driven innovation presents significant challenges – it is time-consuming, fraught with complexity, and susceptible to errors.
To scale and compete, enterprises must seamlessly use data, applications, and AI together, but face four difficult challenges:
- Enterprises need to make enterprise data systems easy for developers to consume and use to support innovation but at the same time ensure data systems are managed efficiently, securely, and in compliance with data sovereignty, data privacy, and related regulations.
- With the explosion in the number of applications and data systems, data and operations professionals are stretched thin trying to keep up, which increases the risk of performance, resilience, and security failures.
- Hybrid and hybrid multicloud architectures make the challenge of managing enterprise data systems harder still, as each environment – on-premises datacenters, public clouds, edge locations, and more – often has its own unique operating model, tooling, and processes.
- The advent of artificial intelligence demands that enterprises learn to seamlessly incorporate insights derived from AI models with enterprise data systems and applications to create unique, innovative customer experiences.
Join thought leaders from Nutanix and EDB as we discuss these topics and share strategies for managing and maximizing the value of enterprise data systems and AI in today’s hybrid multicloud world.
DINNER AGENDA
5:00 PM EST Welcome Reception and Arrivals with Refreshments
6:00 PM EST Leadership Discussion
- Introduction (5 mins)
The peer executive will engage the audience for brief introductions and discuss the format and key takeaways from the guided interaction conversation and dinner discussions. - Guided Interactive Conversation (25 mins) – Key topics include:
- Simplifying and accelerating the transition from legacy data systems to modern data systems like PostgreSQL
- Leveraging intelligent automation to increase the efficiency and reach of data and operations teams
- De-risking data system management at scale across hybrid multicloud environments
- Breaking down barriers between the traditionally siloed disciplines of data management and application development
- Open Forum Discussion (30 mins)
This discussion will be based on the list of challenges discussed already and will take the format of group brainstorming and open discussion to come up with suggestions and solutions to common challenges at the executive level.
7:15 PM EST Dinner Service
9:00 PM EST Conclusion
