In this episode of Data Forward, Ramon Chen, CPO of Acceldata talks with Matthew Cox, CDO at Fusable, about turning data into a true enterprise asset. They cover how Fusable unifies siloed data, ensures trust and quality with observability and lineage, and prepares for the next wave of AI innovation.Key Takeaways-Unify Data to Unlock Insights – How Fusable delivers value by creating a single, trusted data core.-Trust & Quality First – Why lineage, observability, and governance are essential for reliable data.-AI Readiness Starts with Data – Why high-quality, well-structured data is key for Gen AI and Agentic AI.
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34:44
AI + Data Observability: Building Trust in the Agentic Age with Will Pong from Fiddler
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33:57
AMA with the World’s Foremost Data Platform Expert Chandrakant Sharma
In this special episode of Data Forward, Vivek Singh sits down with Chandrakant “Chandra” Sharma — Acceldata’s Global Field CTO and VP of Field Engineering — for a candid, practical conversation on how the world’s largest enterprises are modernizing their data platforms.Chandra shares proven, real-world strategies for:Simplifying complex, fragmented data stacksAvoiding vendor lock-in while controlling cloud costsSafely migrating off aging Hadoop platformsBuilding AI-ready, reliable platforms that deliver business valueWhether you’re a data leader, architect, or engineer, you’ll walk away with actionable lessons you can start applying immediately to improve agility, reduce costs, and future-proof your data platform.
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The Future of Data with Dan Power VP Data Governance at Raymond James
In this episode, Ramon Chen sits down with industry veteran Dan Power to explore the evolution of data governance, quality, and management in the age of AI. From foundational lessons at Dun & Bradstreet to regulatory pressures in financial services, Dan shares what it takes to build trusted, scalable data practices—and where AI fits into the picture.Key Takeaways:- Data Products Need Discipline: Creating reliable data products requires manufacturing-like thinkingclear inputs, measurable outputs, and trust scores to drive business value.- AI Is Not a Silver Bullet—But a Power Tool: GenAI and agentic systems can automate manual data work, but only if foundational data observability is in place.- Regulations Demand Operational Readiness: Regulatory compliance increasingly depends on fast, accurate lineage, quality metrics, and the ability to prove control—not just documentation.
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Get Data-Ready for Agentic AI with Supratibh Srivastava from AWS
What does it actually take to prepare your enterprise data for the next wave of Agentic AI? In this special episode recorded live at Autonomous 25, Acceldata’s product marketing leader, Sonam Jain talks with Supratibh Srivastava, Principal Sales for ML Startups at AWS, about how companies are building a strong foundation for GenAI and agentic systems.You’ll learn:How data silos, poor governance, and unclear data strategy stall enterprise AI modelsWhat agentic data management means for data engineering and platform teamsWhy clean, observable, and policy-compliant data is critical to preventing hallucinationsThe role of AWS Bedrock, SageMaker, and DataZone in enabling trusted, scalable AIWhether you're building AI foundations, launching LLM-powered tools, or scaling GenAI infrastructure, you’ll walk away with clear next steps and practical inspiration.
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!
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