Join Ismail Makhlouf, Senior Data Analytics Solutions Architect at AWS, as he sits down with Siladitya Roy, Senior Principal for Data & Analytics at Slalom, to discuss cutting-edge data strategies for Chief Data Officers (CDOs) and data leaders. This episode explores Data Mesh, Data as a Product, and how GenAI can transform data product development. Learn how organizations are leveraging these concepts to build Customer 360 capabilities, improve data operations, and enhance business outcomes. With practical advice, real-world examples, and actionable insights, this conversation is a must-watch for data leaders aiming to stay ahead of the curve.
00:00 – Introduction: Meet Siladitya Roy and Slalom’s Human-Centric Approach
01:00 – What is Data Mesh? Addressing the Data Divide
02:20 – Data Mesh vs. Domain-Driven Design: Evolution in Data Strategy
03:50 – Understanding Data Products: Accessibility, Trust, and Value
06:00 – How Data Mesh and Data Products Coexist and Differ
07:30 – Real-World Success Stories of Data Mesh Implementation
09:40 – Challenges in Building Data Products: The Importance of Data Governance
11:30 – Balancing Governance and Agility: A Practical Approach
13:00 – How GenAI Accelerates Data Product Development: Real-Life Examples
15:00 – Enhancing Customer 360 Capabilities with Data Products
18:00 – Fan Data Platform: Building Unified Profiles for Fans and Customers
20:00 – Becoming a Business Technologist: Balancing Business and Technology
21:00 – Key Takeaways: Think Big, Start Small, Iterate for Success
Resources:
• Virgin Voyages Customer Story: https://go.aws/3Bl7Hwz
• AWS Fan Data Platform Accelerator: https://go.aws/3ZSIPWk
• Embracing a Modern Culture of Data: https://go.aws/3ZQCQRW
• Slalom’s Data & Analytics Services: https://go.aws/3DgNDfp
• AWS Data Strategy Team: https://go.aws/3SgkoOX
Explore More:
AWS for Data YouTube Series: https://go.aws/48vBSfR
AWS for Data is where we invite experts to dive into the challenges of and solutions to unlocking insights from data at scale. Leveraging real life experience of what it takes to manage data effectively on the ground, we discuss topics such as data strategy, building a data culture, creating business value with GenAI, and maximizing the ROI on your data assets.
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