Data Readiness for AI
Video on Demand, Available till 30 April 2026
Every organization is investing in AI. But most initiatives stall before production. Not because models fail, but because data isn’t ready. Data sits across systems, Defined differently, Owned by different teams and Stitched together to power AI. The result? AI that looks powerful…but lacks trust, consistency, and scale.
Learn about being Data ready for AI with a 90 Days roadmap by registering for this onDemand webcast
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Our Speakers
Speaker
Stewart Bond Research VP, Data Intelligence and Integration Software - IDC
Stewart Bond leads IDC’s Data Intelligence and Integration Software research, focusing on emerging trends in data movement, ingestion, transformation, mastering, cleansing, and consumption in the digital era.
Speaker
Srinivas Poddutoori Co-founder and COO - Artha Solutions
As COO and co-founder of Artha Data Solutions, Srinivas Poddutoori drives global data-driven innovation across enterprises through data engineering, master data management, data governance, and AI initiatives, including AI governance.
Speaker
Madhav Nalla Enterprise Intelligence Architect - Qlik Partner Ambassador
Madhav works at the intersection of data strategy, digital transformation, and advanced analytics and AI. As an Enterprise Intelligence Architect, he focuses on data readiness—building trusted, scalable data ecosystems that power intelligent automation and decision-making.
Speaker
Sidney Drill Product Marketing Director - Qlik
Sidney Drill is a product marketer at Qlik specializing in integration and analytics, known as an enthusiastic presenter, #data4Good advocate, and former Solution Architect.
AI Data Readiness Assessment worth $15999 in just $1
Know where to begin—and what to fix first in just $1
A structured readiness assessment that identifies gaps, prioritizes use cases, and delivers a clear 60–90 day roadmap to move AI from pilot to production. It’s not a survey but a real assessment backed by international frameworks and expert consultants.
Watch on-Demand Video Get 90 Days Roadmap With 9 Month Of Followup Action Plan
AI is available to everyone—your competitors included. The real advantage will come from how quickly and confidently you can build on the right data foundation. Artha Solutions helps enterprises build trusted, governed, and AI-ready data foundations. From data readiness assessments to governance, modernization, integration, and AI enablement, Artha supports organizations in turning fragmented data into business-ready intelligence.
AI readiness & data
Why trusted data, ownership, lineage, timeliness, and access now matter more than ever.
Where we get Stuck
How fragmented systems, inconsistent data, and weak governance slow down AI adoption.
What good looks like
What a strong AI-ready data foundation includes: quality, integration, governance, real-time access, and accountability
How to move forward
A practical view of how enterprises can assess readiness, prioritize use cases, and scale responsibly.
Why to Watch this Video
1. What will I gain from attending this webcast?
You’ll get a clear understanding of why AI initiatives stall, what “AI-ready data” means in practice, and how to move from pilots to production with a structured approach. You will get the IDC Analyst commentary on the topic along with AI data readiness assessment worth $15999 in just $1.
2. Is this relevant if we already have a data platform?
Yes. Most organizations already have platforms but struggle with trust, governance, and usability. This session focuses on making your existing data foundation work for AI.
3. How is data readiness for AI different from data quality?
Data quality is only one part. Data readiness includes integration, ownership, governance, lineage, and real-time availability—ensuring data can be trusted and used for decisions.
4. Can this help us move AI from pilot to production?
Yes. The discussion focuses on common blockers and how to address them through data readiness, governance, and operating model changes.
5. Do we need new tools to get started?
Not necessarily. Most organizations can unlock value by improving how data is structured, governed, and integrated before investing in new tools.