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To manage the risks presented by dark data and to extract value from it University of British Columbia Director of Data Governance & BI - George Firican suggests a 4 pillar policy approach: 1) Be aware that dark data exists,

Based on a Gartner framework Hartnell Ndungi, Chief Data Officer for Absa Bank Kenya, has identified 5 levels of data maturity that describe the state an organisation is in: Basic, Opportunistic, Systematic, Differentiating and Transformative

Neglecting AI ethics is more than just a reputational risk, argues Cortnie Abercrombie, former IBM executive and Founder and CEO of non-profit organization AI Truth. It also harms the long-term ROI of AI systems

Laura Hahn, Director, Enterprise Data Management at TD Ameritrade, shares key learnings from her experiences implementing the financial services company's master data management platform

Ganna Pogrebna, Lead: Behavioral Data Science at The Alan Turing Institute, argues that data ethics must be regulated by law, if self-regulation will not work

Besa Bauta, CDO at children’s charity MercyFirst, argues that better collaboration between health and social care data leaders will be needed to meet patient expectations in the post-pandemic ‘new normal’.

Dr Rachel Adams, Senior Research Specialist at South Africa's Human Sciences Research Council, argues that the nations AI ethics conversations must address its colonial past

Jawad Raza, SVP and Head of Data Analytics, Big Data and AI at Meezan Bank, outlines how he's transformed the way the bank thinks about data

Liberty Global Director of Data Dee Samra reveals how she’s changing perceptions around data governance at the telecoms company

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