Stewart Bond
Research VP, Data Intelligence (IDC)
RESEARCH REPORT
Future-Ready Data Foundation: From AI Pilot to Production Value
Success with AI starts with data. Improving data quality and accessibility for AI is today’s top organizational priority; nine months ago, it was improving AI infrastructure. However, laying a solid data foundation for AI requires data and metadata unification, quality management, and control – treating data as a product.
RESEARCH REPORT
Future-Ready Data Foundation: From AI Pilot to Production Value
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According to the IDC Analyst Spotlight, sponsored by Qlik and Artha Solutions, missing the next 12 months on data readiness may allow rivals to lock in key AI advantages around speed, accuracy, and customer trust. Deploying robust enterprise intelligence services is a strategic necessity to scale AI successfully.
37%
Pilot to Production Rate
+24%
Faster Innovation
19%
Average Cost Savings
Abstract
An AI-ready data foundation is the key to turning AI investments into measurable business outcomes. As organizations scale AI initiatives, trusted and well-governed data becomes essential for speed, accuracy, and impact. This white paper explores how data foundation services accelerate AI data readiness, improving agility, operational efficiency, and innovation, allowing them to confidently move from AI pilots to real ROI.
Download this white paper to learn how building an AI-ready data foundation unlocks agility, efficiency, and innovation.
Key Takeaways
- Bridge the AI Production Gap: While enthusiasm for artificial intelligence is widespread, only 37% of AI initiatives successfully progress from proof of concept to full production due to fragmented data and inconsistent governance.
- Data Management is the Top Priority: Organizations are recognizing that AI success depends entirely on the underlying data. Consequently, data management has emerged as the top technology investment priority over the next 18 months, even surpassing direct investments in AI technologies.
- Accelerate Value by Treating Data as a Product: Transitioning to a "data product" mindset reduces complexity and improves reliability. Organizations adopting this approach report a 9% faster time to value and an 11% improvement in innovation KPIs.
- Realize Measurable Enterprise Gains: Building a robust, future-ready enterprise intelligence foundation yields significant operational and financial rewards, including an average of 24% faster innovation, 23% greater operational efficiency, and 19% cost savings.
- Deploy a Unified, Repeatable Operating Model: Learn how the strategic partnership between Artha Solutions and Qlik addresses these critical bottlenecks by combining an advanced integration backbone with robust data governance, data quality, and cataloging to scale AI safely.
Topics Covered
Data Governance
Qlik
Talend
Who Should Read This
- Data, analytics, and enterprise architecture leaders
- Business technology teams evaluating modernization programs
- Healthcare leaders planning data transformation initiatives
