RecordPoint's Head of Product Joe Pearce in conversation with Jakub Szarmach, Advanced AI Risk & Compliance Analyst at Relativity
Join us as we talk about shining a light on shadow AI.
If the thought of tackling unstructured data makes your stomach churn, you’re not alone. In this session, we’ll walk through five real-world strategies that can help records and information professionals make meaningful progress in overcoming the risks and challenges that come with un-managed, unstructured data.
AI is transforming how organizations operate, but governance is struggling to keep up. Many teams don’t know how many AI systems they’re running, what data they rely on, or who’s accountable when things go wrong. Without that clarity, risks – from shadow AI to compliance gaps – start to build.
Unstructured data is growing faster than most organizations can manage — and much of it is only relevant to the person who creates or saves it. Documents are constantly drafted and saved, messages are sent and forgotten, and cloud platforms fill with disorganized, unmanaged content.
Data is the fuel, but trust is the engine that drives AI innovation. As the adoption of AI accelerates, so do the challenges around ensuring its reliability, safeguarding data, and maintaining compliance.
Join RecordPoint experts as we explore what APRA’s evolving regulatory focus means for superannuation funds and how organisations can turn compliance requirements into stronger information governance practices.
