Business Applications Innovation Summit 2026

Automation initiatives often fail not because of technology, but due to unreliable data. Missing fields, inconsistent definitions and outdated spreadsheets create cracks in operational processes, leading to failed workflows and costly disruptions. For IT Operations, these issues mean constant firefighting instead of driving innovation, leaving businesses exposed to inefficiencies and risks.

Building resilient automation systems requires more than just advanced tools—it demands a strong data foundation. Poor data quality undermines automation efforts, creating brittle systems that can’t adapt to real-world complexities. For business leaders, this challenge also presents an opportunity: by addressing data quality issues early, organizations can unlock the full potential of intelligent automation, reduce risks and drive sustainable growth.

Join Jennifer Stirrup, Thought Leader - BI and AI at Data Relish, to explore how the "8 C’s of Data Quality" can help you future-proof your automation strategies.

Key Takeaways:
- Identify the hidden risks poor data quality poses to automation and AIOps initiatives.
- Learn how to spot and address common failure points in your data foundation.
- Discover actionable strategies to build resilient, scalable automation systems
- Explore how IT leaders can turn data quality challenges into business opportunities.
- Gain insights into real-world examples of successful automation transformations.