Data Mesh vs Data Fabric: Setting up for Self Service, AI, and Gen AI for Cross-Domain Success
Date: Wednesday, October 9 2024
Time: 1:00 PM (EST)
Location: Virtual
Duration: 1 hour
Register Here
First Step is to Register so we can follow up with you for more details.
Data Mesh vs Data Fabric: Setting up for Self Service, AI, and Gen AI for Cross-Domain Success
Date: Wednesday, October 9 2024
Time: 1:00 PM (EST)
Location: Virtual
Duration: 1 hour
Register Here
First Step is to Register so we can follow up with you for more details.
Agenda
Use Cases in AI and GenAI
- Explore how AI can be applied across different domains to unlock new opportunities and enhance decision-making
- Applying AI and GenAI to aggregate and analyze data from multiple departments such as Finance, HR, and Operations
Understanding Data Mesh and Data Fabric
- Key principles and differences between Data Mesh and Data Fabric.
- Importance of selecting the right architecture for AI and Gen AI success
Federated Data Architecture: Foundation for Self-Service and AI
- Decentralized data ownership and domain teams in a Data Mesh
- Unified data management with seamless access with Data Fabric
- Leveraging federated data architecture to enhance AI and Gen AI capabilities
Bridging Domains and Enhancing Data Discovery
- Strategies for integrating data across domains and systems
- Role of Data Mesh and Data Fabric in fostering cross-functional collaboration
- How data cataloging improves data accessibility
Empowering Domain Teams and Ensuring Governance
- Strategies for empowering domain teams to manage their own data
- Governance and compliance in decentralized environments
Implementation Strategies and Q&A
- Tools, technologies, and best practices for implementing Data Mesh or Data Fabric
- Case studies and success stories
Takeaways
Here’s what you can expect to gain from this comprehensive workshop:
Clear Understanding of Data Mesh and Data Fabric
- Grasp the fundamental differences between Data Mesh and Data Fabric architectures
- Understand which architecture to apply based on organizational needs
How Federated Data Architecture applies to AI and Gen AI
- Learn how federated data architectures can support AI and Gen AI initiatives
- Understand the role of decentralized data ownership and unified data management
Strategies for Bridging Data Domains and Enhancing Data Discovery
- Learn how to implement effective data discovery via cataloging
- Practical methods to integrate data across departments and systems
Empowering Domain Teams and Ensuring Governance
- Strategies for empowering domain teams to manage and govern their data products
- Balancing flexibility with control through governance and compliance frameworks
Best Practices for Implementation
- Best practices for implementing Data Mesh and Data Fabric
- Learn about essential tools and technologies that support these architectures
Suresh Venkatraman
A-VP Product Engineering, People Tech
October 9, 2024
1:00 PM (EST)
Virtual
Common Use Cases
- Retail: Customer Experience Optimization
- Financial Services: Fraud Detection and Prevention
- Healthcare: Patient Data Integration
- Energy: Drilling and Production Data Management
- SaaS: Cross-Functional Collaboration
Ideal For
- CIO, CTO, CDO, CISO, VP of Engineering, Enterprise Architect
- Director or Engineering Manager (Software)
- Director or Manager of Data Engineering (or Sr Data Engineer)
- Director or Manager of Data Science/Analytics (or Sr Data Scientist)
Who Should Attend
This workshop is ideal for professionals in the following roles:
- CIO, CTO, CDO, CISO, VP of Engineering, Enterprise Architect
- Director or Engineering Manager (Software)
- Director or Manager of Data Engineering (or Sr Data Engineer)
- Director or Manager of Data Science/Analytics (or Sr Data Scientist)
By attending this workshop, you will be better prepared to navigate the complexities of modern data management, make informed strategic decisions, and implement effective data solutions that can drive your AI and GenAI initiatives. Don’t miss this opportunity to enhance your skills and elevate your organization’s data capabilities.
