How to address inevitable data quality issues

how-to-address-inevitable-data-quality-issues

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.

ChatGPT – Is English the final word?

chatgpt--is-english-the-final-word

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?

Understanding organisational literacy rates

understanding-organisational-literacy-rates

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.

How well do you (need to) know your models?

how-well-do-you-need-to-know-your-models

Over the past five years there has been a massive growth within retailers looking to use Machine Learning (ML) and Artificial Intelligence (AI) to improve performance, simplify the customer journey and increase innovation. But should we always trust the algorithms, and are they even required?

How to form a data vision

how-to-form-a-data-vision

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?