Cameron Ogden from Precisely emphasizes that observability is a foundational capability for ensuring data integrity and quality, which are essential for trustworthy AI outcomes.

The study reveals that North American firms show higher AI adoption and observability maturity than their European counterparts, with 88% of North American organizations formalizing observability programs compared to just 47% in Europe.

Organizations are increasingly expanding their observability efforts to include diverse data types, with 62% exploring semi-structured data and 60% evaluating unstructured documents, recognizing their importance for advanced AI applications.

This uneven maturity in observability programs highlights significant gaps, as many organizations struggle with underdeveloped practices that could jeopardize their AI initiatives.

The survey methodology included responses from various industries, providing a comprehensive view of observability adoption and the challenges faced by organizations in this rapidly evolving landscape.

A recent global research study conducted by Precisely and BARC has unveiled critical insights into observability trends and challenges in AI innovation, based on a survey of over 250 data and AI stakeholders worldwide.

Despite 76% of organizations implementing observability programs for data quality and pipelines, and 70% focusing on AI/ML model observability, many exhibit inconsistent practices that hinder their AI objectives.

Additionally, North American organizations prioritize regulatory compliance and data privacy more than their European counterparts, despite the lack of similar federal AI regulations.

However, 68% of respondents reported using qualitative or quantitative metrics to evaluate their observability efforts, yet many lack structured measurement, which poses risks to achieving their AI goals.

Ogden further notes that observability is critical for ensuring data governance necessary for reliable AI models, especially as the landscape of AI use cases becomes increasingly complex.

Precisely is recognized as a leader in data integrity, serving over 12,000 organizations globally, including 93 of the Fortune 100, underscoring its influence in the field.

Overall, the study highlights a significant trend towards incorporating semi-structured and unstructured data into observability programs, which is crucial for the future of AI-driven innovations.