Careers, skills, and recruitment in data: Numbers for leaders and practitioners

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What is the average tenure of a data practitioner? Which data roles are most companies looking to hire in the next 12 months? Surprisingly, there are no industry-agreed standards here. Data is a relatively new field. In most organisations, data offices are less than ten years old, and the data talent market comprises inconsistent, varying […]

DataIQ 100 Summit Miami: Programme

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Don’t miss your chance to connect with the world’s most influential data minds at the DataIQ 100 Summit Miami. Download the program to access the agenda, speakers, attendee list, and everything you need to level up your AI strategy.

2024 DataIQ AI Awards – The essential guide

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The 2024 DataIQ AI Awards are now open! Do you have a groundbreaking AI project that’s making a positive impact on society? We want to hear about it! Our comprehensive guide provides all the information you need to submit your entry.

How to enter the 2024 DataIQ Awards

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Submissions for the 2024 DataIQ Awards are open! Shine the spotlight on your team’s incredible work and get the recognition you deserve. Download this eBook to find out how to enter and our most frequently asked questions.

2023 DataIQ Annual Review

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As the trusted global collaboration and intelligence platform for data leaders, we are committed to providing the best products, knowledge and events to our community. How did we achieve this in 2023?

Innovation: The new agenda for data

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The explosion of interest in generative AI during 2023 has emphasised an important fact – that the road to innovation goes through the data office.

DataIQ Awards 2023 Book of the Night

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The standard has been extremely high and the competition fierce for the 2023 DataIQ Awards – the data industry’s most prestigious awards. Read about each organisation, team and individual that has been crowned a 2023 DataIQ Awards winner.

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

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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 enter the DataIQ Awards 2023

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Submissions for the DataIQ Awards 2023 close next week! Shine the spotlight on your team’s incredible work and get the recognition you deserve. Download this eBook to find out how to enter and our most frequently asked questions.

2022 DataIQ Annual Review

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At DataIQ, we are committed to connecting, developing and elevating data leaders and their teams. How did we achieve this in 2022?