Data Forward: AI and Data Management News

🚀 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

In this episode of Data Forward, host Amy Kyleen Lute talks with Mahesh Kumar, CMO at Acceldata, about the findings of the new AI Readiness Benchmark Report - based on responses from 150+ data leaders at large enterprises. Mahesh shares why AI readiness is critical, how organizations can measure their preparedness, and the risks when data foundations lag.
On this podcast you will learn:
-The key metrics to use to measure AI Readiness
-The contextual indicators that can help improve your key metrics
-How using AI to improve data operations can give organizations a competitive edge

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.

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 stacks

Avoiding vendor lock-in while controlling cloud costs

Safely migrating off aging Hadoop platforms

Building AI-ready, reliable platforms that deliver business value

Whether 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.