This instalment of CDO Challenges examines how data silos can be addressed by data leaders to ensure effective communication, cooperation and compliance.
Much like death and taxes, issues with data quality are a part of life for data practitioners – but there are steps to be taken to reduce any impact poor quality data may have on a business.
Are tools such as ChatGPT cutting non-English languages out of the AI revolution? As these tools are currently only designed to work in English, do we risk alienating swathes of the global population?
Data literacy is a challenge faced by all data teams, but to improve the rates and spread of data literacy, CDOs must understand how data literacy looks in different departments.
CDO Challenges – The rise of AI for data teams and being ready for the first step
It can be very easy for CDOs to be pushed into adopting AI tools because of excited decision makers, but CDOs need to ensure they have thought about how AI can successfully be implemented.
How well do you (need to) know your models? – A DataIQ member report
ML and AI tools have exploded in use for data organisations, but what more can be done to improve quality, compliance and efficiency with the models? DataIQ member Robert Bates, head of decision sciences, Currys, provides expert insight in this report.
As a data leader it is imperative to create a data vision that can be demonstrated to decision makers for short and long-term projects, but how can one be formed?
CDO Challenges – Storytelling for non-data audiences
This edition of CDO Challenges looks at how CDOs need to craft their storytelling abilities for audiences that are often unfamiliar with data value, data culture and data processes.
CDO Challenges – Being aware of data literacy problems
This edition of CDO Challenges delves into the problems non-data departments experience with data literacy which can hamper wider data culture development objectives.
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