AI-ready content: Governance, integration, outcomes featuring Deloitte

Box · Intermediate ·🤖 AI Agents & Automation ·1mo ago
Box reveals the key to unlocking AI success through data readiness. Jeanette Gessler, VP of Box Consulting, leads a conversation with Mike Carlino from Deloitte, Shivani Majewski from Deloitte Digital, and Nick Read from Box to explore how data preparation drives successful AI outcomes. They zoom into the challenges of governing unstructured data, highlighting the importance of data quality, security, and lifecycle management. The panel underscores the evolving role of AI in transforming business processes, from risk mitigation to enabling faster deal closures, and how enterprises are moving beyond pilot phases to achieve production-ready AI outcomes. Key Moments: Data readiness as the foundation for AI success: The importance of preparing both structured and unstructured data for scalable AI solutions. Tackling ROT (redundant, obsolete, trivial) data: Addressing knowledge ROT to clean and organize valuable data, critical for AI applications. Governance and data security: Ensuring that only authorized individuals access the correct data, especially when it involves sensitive or personal information. Integrating data across platforms: Leveraging data integration tools like Salesforce to empower teams with real-time, accurate information. Risk mitigation in AI adoption: The need to address risk and use a phased approach in AI projects to avoid pitfalls during the transition from pilot to production. Transforming business processes through data-driven insights: Real-world examples, such as in banking and oil & gas, where combining structured and unstructured data results in significant cost savings and process improvements. Jump into the conversation: (00:00) Introduction of panelists: Mike Carlino, Shivani Majewski, and Nick Read (01:08) Data readiness and the importance of foundation for AI (02:03) Exploring the challenges of data quality and ROT (redundant, obsolete, trivial) (03:10) Governance issues around document versioning and data consistency (04:03)
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