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Artwork for Data Forward: AI and Data Management News

Data Forward: AI and Data Management News

Acceldata
Data Management
Data Quality
Data Observability
Data Governance
Artificial Intelligence
Enterprise Data
Generative AI
Cloud Computing
Cloud Transformation
Data Integration
Chatbots
Data Engineering
Healthcare
Master Data Management
Machine Learning
Dun & Bradstreet
Hadoop
ADM
Data Readiness
Data Fabric

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!

PublishesTwice monthlyEpisodes25Founded2 years ago
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Artwork for Data Forward: AI and Data Management News

Latest Episodes

Recorded live at Autonomous 26 in San Francisco, Ashwin sits down with Rajesh Vijayaraghavan, Principal ML & AI Specialist at AWS, to unpack how enterprises and ISVs are moving from AI experimentation to real production value.

AWS's Bedrock and Agen... more

How do you connect thousands of distributed data points across multi-cloud, hybrid, and edge environments without spending months on firewall tickets and VPN configurations?

In this technical deep dive, Gowtham Saasivam - the Senior Staff Engineer a... more

Abstract:

In this episode of Data Forward, Ramon Chen sits down with Guy Voster to explore why AI initiatives are failing—not due to a lack of data, but a lack of context.

As enterprises race to adopt AI, the conversation is shifting toward context ... more

Abstract: 

On this Data Forward episode, Jason Russler of VAST Data and Ramon Chen of Acceldata discuss how enterprises can finally modernize their legacy Hadoop environments, cutting costs dramatically while positioning their data infrastructure for... more

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Recent Guests

Guy Vorster
Field CTO at Reltio
Reltio
Episode: Beyond Data: Why Context Intelligence Is the Missing Link in AI Success with Guy Vorster from Reltio
Jason Russler
Strategic Partnerships at VAST Data
VAST Data
Episode: Modernizing Hadoop with VAST and Acceldata
Neeraj Nayan
Head Infrastructure and DevOps at Accelerator (guest)
Accelerator
Episode: Tech Series - Flow Controller: A Solution to Kubernetes Releases - Ashwin Rajeeva ft. Neeraj Nayan
Raghu Mitra
Co-founder discussed in episode
Acceldata
Episode: Tech Series - Founders’ Voice: AI, ADM, and Everything in Between - Ashwin Rajeeva ft. Raghu Mitra
Jay Sivasamy
From Workday, expert in building scalable data frameworks
Workday
Episode: Build Trustworthy, Reliable Enterprise Data Systems in the Age of AI w/ Jay Sivasamy from Workday
Mahesh Kumar
Chief Marketing Officer at Acceldata
Acceldata
Episode: AI Readiness Uncovered: Key Insights from the AI Benchmark Report
Matthew Cox
Chief Data Officer at Fusible
Fusible
Episode: Building Trusted, AI-Ready Data with Fusable
Will Pong
VP of Product at Fiddler, experienced in product space and AI observability
Fiddler
Episode: AI + Data Observability: Building Trust in the Agentic Age with Will Pong from Fiddler
Chandrakant Sharma
Global Field CTO and VP of Field Engineering at Acceldata
Acceldata
Episode: AMA with the World’s Foremost Data Platform Expert Chandrakant Sharma

Host

Ramon Chen
Host of Data Forward; Chief Product Officer at Acceldata (with appearances spanning Excel Data).

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#107
Ukraine/Technology
Apple Podcasts
#235
South Africa/Technology

Talking Points

Recent interactions between the hosts and their guests.

Tech Series - Flow Controller: A Solution to Kubernetes Releases - Ashwin Rajeeva ft. Neeraj Nayan
Q: When should a small company start considering Kubernetes?
A small company should consider Kubernetes when the potential gains in self-healing, deployment velocity, and distributed development across teams outweigh the overhead and need for dedicated production infrastructure, essentially when scale and cost of production real estate justify it.
Tech Series - Founders’ Voice: AI, ADM, and Everything in Between - Ashwin Rajeeva ft. Raghu Mitra
Q: What is so different about ADM compared to existing data management tools?
ADM aims to unify cross-cutting capabilities like ETL, data quality, governance, and security under a more AI-assisted, context-aware layer, reducing complexity and the number of disparate tools while enabling more automated, policy-driven data management.
Build Trustworthy, Reliable Enterprise Data Systems in the Age of AI w/ Jay Sivasamy from Workday
Q: Given the complexity and scale, how did you approach building reliable frameworks four to five years ago, and how has that changed with cloud adoption and AI?
Frameworks evolved from basic, batch-oriented checks to automated, cloud-enabled governance with decoupled data quality and security checks, expanded to handle unstructured data, multiple clouds, and real-time or near real-time observability, with automation and AI-assisted validation becoming central.
Build Trustworthy, Reliable Enterprise Data Systems in the Age of AI w/ Jay Sivasamy from Workday
Q: Well, thank you. So why don't we get started by having you define what makes a data system reliable, and some examples of how you've done that over the course of your career.
The core distinction is between data quality and data reliability: quality is about initial certification and accuracy, while reliability is about maintaining consistent performance and trust over time, validated through continuous checks, QA, and an auditable trail.
Get Data-Ready for Agentic AI with Supratibh Srivastava from AWS
Q: What advice would you give to data and platform teams who are just beginning their GNI initiatives now?
Begin with the end in mind and design for scalability and automation to accommodate future advancements and compliance requirements.

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Frequently Asked Questions About This Podcast

What is This Podcast about and what kind of topics does it cover?

This show concentrates on enterprise AI, data management, and governance, with long-form conversations that translate vision into practical steps for leading data programs. Episodes frequently cover data quality, governance, observability, modernization, and AI readiness, often featuring practitioners who have hands-on experience shaping data platforms, cloud strategies, and AI-enabled workflows. A standout pattern is the blend of strategy and implementation detail, including real-world use cases from industries like finance, aviation, and technology, plus insights into tooling and vendor considerations. Listeners likely gain actionable guidance for building trusted data foundations, embracing AI responsibly, and navigating regulatory and a... more

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What guests have appeared on this podcast?

Recent guests on this podcast include:

1. Guy Vorster
2. Jason Russler
3. Neeraj Nayan
4. Raghu Mitra
5. Jay Sivasamy
6. Mahesh Kumar
7. Matthew Cox
8. Will Pong

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