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AI’s Data Dilemma: Confronting the Paradox of Poor-Quality Data in the Age of AI (Podcast)

Insights from Industry Experts

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In the insightful video podcast, industry veterans address the pressing issue of data quality in AI systems. This engaging session delves into the challenges posed by subpar data, exploring its impact on AI’s performance and proposing actionable solutions.

The panel, comprised of experts Prof. Alan. W. Brown (Deputy Director of DDRC), Stefan Crossfield (Chief Data Officer for the Army), Rashik Parmar (CEO of the British Computer Society), Yvonne Gallagher (Digital Director at the UK National Audit Office), and Christine Ashton (CIO of UKRI), shares invaluable experience from their diverse professional backgrounds, spanning defence, business, and public sectors.

They discuss the complexities of data management and the ethical use of AI, providing real-world examples and case studies. This podcast is a must-watch for anyone interested in the intersection of AI, data quality, and effective digital governance.

Don’t miss the opportunity to gain wisdom from these seasoned professionals!

The next session is scheduled for Friday, February 23rd, where Jon Holt (DDRC’s Data Management Strategist) and expert panellists will be discussing ‘The lab of the future: Mastering Data Management Best Practices’. Register now.

Written by Alan Brown

Prof. Alan Brown has been delivering impact as an entrepreneur and in business for over 30 years, working in start-ups and large enterprises to enable software delivery to power business transformation. He is also a university professor, researcher, coach, and trusted adviser to C-level executives in the public and private sector. He has written several books on enterprise software delivery and digital transformation, and holds a Professorship in Digital Economy at the University of Exeter, UK and is a Fellow of the Alan Turing Institute, the UK National institute for data science and AI.

In his capacity as the Deputy Director of the Defence Data Research Centre (DDRC) and serving as the Principal Investigator (PI) for the Data Management division within the DDRC's research program, Alan is actively engaged in a multifaceted research agenda. His responsibilities include investigating contemporary best practices in data management for artificial intelligence and decision-making, conducting a comprehensive review of existing data management practices within select areas of the Ministry of Defence (MoD), and undertaking a needs analysis aimed at informing the requirements of data architects and managers in the context of AI and decision-making processes.

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AI’s Data Dilemma: Confronting the paradox of poor quality data in the age of AI