Practical AI for Data Management: Scaling Delivery, Insights, and Business Value - Seguridad Mania.com - España y América Latina

Data teams face familiar challenges: improving quality, demonstrating value with limited resources, and managing workflows that demand significant manual effort. There is potential for AI to be a practical tool to address these issues. In this webinar, Amardeep will share practical examples of how AI can be incorporated into data management and show how it can help data teams scale their impact while keeping delivery trusted and business-focused. Key Outcomes Approaches for using AI to extend what data teams can achieve with existing capacity, with practical examples in data quality, engineering, and insight generation. Insights on how workflows and roles are evolving in an AI-enabled environment. Approaches to designing delivery around business users, ensuring initiatives deliver measurable value. Guidance on embedding trust and governance into AI-enabled workflows. Amardeep works with organisations to improve data management and quality, leading programmes that deliver trusted data and business insights. His focus is on strengthening data foundations and improving delivery so that data consistently drives business outcomes. More recently, he has incorporated AI models into the end-to-end data lifecycle, using them to improve processes and enable data teams to deliver more value with existing resources. A member of DAMA UK and a CDMP, Amardeep studied Physics at Cambridge and Harvard and brings a practical perspective on how data and AI together can enable better decisions and business growth.