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

<description>
 &lt;p&gt;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.&lt;/p&gt;&lt;p&gt;On this podcast you will learn:&lt;/p&gt;&lt;p&gt;-The key metrics to use to measure AI Readiness&lt;/p&gt;&lt;p&gt;-The contextual indicators that can help improve your key metrics&lt;/p&gt;&lt;p&gt;-How using AI to improve data operations can give organizations a competitive edge&lt;/p&gt;
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AI Readiness Uncovered: Key Insights from the AI Benchmark Report

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 &amp; 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.

<description>
 &lt;p&gt;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.&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;Key Takeaways&lt;/p&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;p&gt;-Unify Data to Unlock Insights – How Fusable delivers value by creating a single, trusted data core.&lt;/p&gt;&lt;p&gt;-Trust &amp;amp; Quality First – Why lineage, observability, and governance are essential for reliable data.&lt;/p&gt;&lt;p&gt;-AI Readiness Starts with Data – Why high-quality, well-structured data is key for Gen AI and Agentic AI.&lt;/p&gt;
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Building Trusted, AI-Ready Data with Fusable

AI + Data Observability: Building Trust in the Agentic Age with Will Pong from Fiddler

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:<ul><li>Simplifying complex, fragmented data stacks </li><li>Avoiding vendor lock-in while controlling cloud costs </li><li>Safely migrating off aging Hadoop platforms </li><li>Building AI-ready, reliable platforms that deliver business value</li></ul>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.

<description>
 &lt;p&gt;In this special episode of &lt;em&gt;Data Forward&lt;/em&gt;, 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.&lt;/p&gt;&lt;p&gt;Chandra shares proven, real-world strategies for:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;Simplifying complex, fragmented data stacks&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;Avoiding vendor lock-in while controlling cloud costs&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;Safely migrating off aging Hadoop platforms&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;/li&gt;&lt;li&gt;Building AI-ready, reliable platforms that deliver business value&lt;p&gt;&lt;/p&gt;&lt;/li&gt;&lt;/ul&gt;&lt;p&gt;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.&lt;/p&gt;
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AMA with the World’s Foremost Data Platform Expert Chandrakant Sharma

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 &amp; 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.

<description>
 &lt;p&gt;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 &amp;amp; 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.&lt;/p&gt;&lt;p&gt;Key Takeaways:&lt;br&gt;- Data Products Need Discipline: Creating reliable data products requires manufacturing-like thinkingclear inputs, measurable outputs, and trust scores to drive business value.&lt;br&gt;- 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.&lt;br&gt;- Regulations Demand Operational Readiness: Regulatory compliance increasingly depends on fast, accurate lineage, quality metrics, and the ability to prove control—not just documentation.&lt;/p&gt;
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The Future of Data with Dan Power VP Data Governance at Raymond James

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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