Chicago - Data Quality and Its Impact on Legal, Governance and AI

Data quality – a heady combination of data visibility, accuracy and availability – is quickly becoming a hot topic for the corporate C-suite. While already a concern for legal, IT and security teams working on litigation, compliance and breach prevention – the integrity and reliability of an organizations “discoverable data” is now a critical concern of teams focused on governance.  

But with so many stakeholders, and so many requirements, delivering (and defining) data quality can be hard. 

Join us for this interactive session as we map out the data quality landscape, spotlight critical hurdles, and offer practical, actionable steps to kickstart your journey toward cleaner, more trustworthy data. 

KEY TAKEAWAYS

• Understand the Stakes: Learn why data quality is a make-or-break factor for legal, compliance, governance, AI success, and overall business performance in today’s data-driven world.
• Decode the Challenges: Gain clarity on common obstacles—data silos, dark data, and ownership gaps—that are holding your organization back from achieving high-quality data.
• Survey the Technology & the New Titles: Learn the areas of greatest research and investment and the rise of "data officers" revolutionizing how enterprises manage and improve data quality.
• Get Practical Strategies: Walk away with actionable steps to assess your current data quality and start building a roadmap for improvement, no matter your starting point.
• See Where You Fit: Data quality will quickly become a dedicated field of expertise and will need practitioners comfortable with the tools and technologies of data, but also the politics and priorities of cross-department initiatives. We will discuss where we see the opportunities to make a difference.