Data Forward: AI and Data Management News
Data Forward: AI and Data Management News
Podcast Description
Welcome to Data Forward, the podcast that keeps you ahead in the fast-evolving world of enterprise AI and data management. We bring you expert insights, actionable strategies, and the latest trends to help you stay on top. Ready to shape the future of data? Let’s DATA FORWARD!
Podcast Insights
Content Themes
The podcast focuses on themes related to enterprise AI readiness, data management strategies, the integration of data observability, and the evolving roles of data leaders. Episodes include insights from experts on topics like data architecture, AI trends in enterprises, and strategies for overcoming challenges in data management, such as skill shortages and maintaining data quality.

Welcome to Data Forward, the podcast that keeps you ahead in the fast-evolving world of enterprise AI and data management. We bring you expert insights, actionable strategies, and the latest trends to help you stay on top. Ready to shape the future of data? Let’s DATA FORWARD!
🚀 Data Forward: Building Reliable Data Systems in the Age of AI
In this episode, Joe Murphy, Principal Architect at Acceldata sits down with Jay Sivasamy, Principal, Enterprise Data & AI at Workday to explore how enterprises can build trustworthy, reliable data systems in today’s AI-driven world.
They dive into:
🔹 Evolving Frameworks: From ETL scripts to AI-ready pipelines
🔹 Trust & Governance: Making reliable data a business-critical asset
🔹 AI Integration: Using AI agents to maintain and improve system reliability
🎧 Tune in and learn how to future-proof your data systems: https://linktr.ee/dataforward
#DataForward #DataReliability #AI #EnterpriseData #DataGovernance #MachineLearning #DataEngineering

Disclaimer
This podcast’s information is provided for general reference and was obtained from publicly accessible sources. The Podcast Collaborative neither produces nor verifies the content, accuracy, or suitability of this podcast. Views and opinions belong solely to the podcast creators and guests.
For a complete disclaimer, please see our Full Disclaimer on the archive page. The Podcast Collaborative bears no responsibility for the podcast’s themes, language, or overall content. Listener discretion is advised. Read our Terms of Use and Privacy Policy for more details.