Data Communication in the Age of AI


Generative AI and large language models have been forged by data scientists – but they will also fundamentally affect the roles of every data professional. Preparing for this seismic change is the only way to futureproof your career.

In the next few years we can expect to encounter machine-generated data visualisations, database queries replaced by conversational interfaces, automated data cleansing and analysis, personalised adaptive dashboards, and much more.

So where does this leave flesh and blood experts? What human skills will still be essential, what will we routinely hand over to machines, and how can manage collaboration between the two?

Alan Rutter is the founder of consultancy Fire Plus Algebra, and has worked with hundreds of data teams across the private, public and charity sectors. In this session he'll discuss the implications of AI tools for data professionals, and the human skills that will become even more essential.

The session will cover the importance of explaining AI models and their limitations, building effective next-gen data products, evaluating audience and user needs, and the aspects of visualisation that will always require human input. It will focus on the practical implications of AI tools on the roles of data professionals – and look at how we can thrive in this exciting new era.

Background Knowledge:

This talk is for anyone working in a data-focused role. Tools and languages will be mentioned, but no previous knowledge is required.


Alan Rutter is the founder of consultancy Fire Plus Algebra, and is a specialist in communicating complex subjects through data visualisation, writing and design. He has worked as a journalist, product owner and trainer for brands and organisations including Guardian Masterclasses, WIRED, Riskified,the Home Office, the Biotechnology and Biological Sciences Research Council and Liverpool School of Tropical Medicine.

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