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AI initiatives do not fail because of model quality alone. They fail when the underlying data foundation cannot deliver trusted, current, and decision-ready information at the moment action is required. This Stratola Research report examines why data products have become a critical prerequisite for production AI and introduces the concept of the Decision Product as the missing real-time data layer for enterprise AI, agentic applications, and operational decisioning.
Drawing on enterprise survey findings, industry research, and Stratola’s own analysis, the report explains why organizations with mature data product practices are scaling AI faster, why agentic AI depends on real-time and transactionally consistent data, and where platforms like Volt Active Data fit into this emerging architecture. It is a useful download for CDOs, CAIOs, data architects, and technology leaders evaluating how to close the gap between AI experimentation and AI at scale
Grounded in deep research and practical industry insight, the report explains how Architectural Intelligence helps engineering, finance, and security leaders work together through a shared foundation of truth. Readers will learn how continuous discovery, multidimensional attribution, and human-centered AI guidance can enable and transform how cross-functional decisions are made. This report is an essential resource for executives and practitioners who want to understand their systems in full context and prepare for the next generation of AI-driven operations.
Enterprises are grappling with the limitations of traditional metadata catalogs as they scale into AI-driven operations and complex cloud environments. This Stratola Debrief examines Atlan’s approach to active metadata management, assessing its architectural underpinnings, adoption strategies, and relevance to evolving data governance requirements. Real-world implementations, such as those at Medtronic, illustrate how large organizations are testing the boundaries of what next-generation platforms can deliver Atlan’s Active Metadata strategy.
The report also explores broader market dynamics, including the rapid expansion of the data governance sector, increasing regulatory pressures, and the challenges of aligning governance models with enterprise AI initiatives. It provides an independent perspective on Atlan’s positioning, technical differentiation, and potential risks, offering technology leaders a clear view of where the market is heading and what considerations matter most in evaluating solutions.
Discover how LogicMonitor is redefining the future of observability with its AI-First strategy. This Stratola Debrief unpacks LogicMonitor’s latest announcements, including enhanced Edwin AI capabilities, service-level intelligence, Oracle Cloud Infrastructure support, and a forward-looking pricing model. With customer-reported results showing 80% noise reduction and 67% fewer incidents, LogicMonitor is moving IT operations from reactive monitoring to predictive resilience at scale.
In this in-depth analysis, you’ll learn how LogicMonitor’s approach to agentic AI, service intelligence, and hybrid pricing positions it as a leader in autonomous IT operations. The report examines the competitive landscape, technical architecture, and market implications, giving IT and business leaders the insights they need to understand where the observability market is headed and how LogicMonitor is shaping that future.