Celebrations for excellence in data at the 2024 DataIQ 100 Discussion

Awards for innovation and culture were presented at the DataIQ 100 Discussion, as well as an induction to the DataIQ 100 Hall of Fame for Ming Tang, CDAO, NHS England.
Data leaders set the industry agenda at the 2024 DataIQ 100 Discussion and Summer Lunch

The best minds in data and analytics came together at the DataIQ 100 Discussion and Summer Lunch to debate the hot industry topics and celebrate excellence.
Data narrator – Essential insights from the DataIQ 100 Summit

A data narrator is core to success when delivering complex and multilayered information to business decision makers. Discover storytelling tips from data leaders at the US DataIQ 100 Summit.
Responsible AI – Essential insights from the DataIQ 100 Summit

Leading names in data and analytics examined how to navigate responsible AI and implement it in different businesses at the recent DataIQ 100 Summit.
Essential learnings from the DataIQ 100 Summit

Explore the key learnings from the recent DataIQ 100 Summit and hear from some of the leading names in data and analytics.
Data Literacy versus Data Culture – DataIQ’s view

DataIQ explains the differences between data literacy and data culture, as understanding the differences is essential to achieve buy in and support from business leaders.
Data Culture for Teams Assessment

DataIQ has created the Data Culture for Teams Assessment to help member organisations evaluate their data culture maturity using the ten DataIQ data culture dimensions.
5 ways to improve data culture

Data culture is at the heart of data success, but there is always room for improvement, particularly in departments outside of the data team.
3 reasons why nobody is talking about the cost of generative AI

David Reed dives into the financial side of generative AI as costs can rapidly spiral if not monitored and there is a necessity to be accurate with the use of tools.
How to secure AI talent and succeed in AI recruitment

Data leaders must understand what is needed to recruit and retain AI talent in an environment where vacancies are prolific.
What are the quick genAI wins for the data office?

Data leaders need quick genAI wins to demonstrate the power of data and secure increased budgets and backing, but where should they begin?
3 historical female figures you did not know were data experts
This International Women’s Day DataIQ shine the spotlight onto three female historical figures who had an early material impact on analytics and data processing.
Graduate schemes in action – EDF securing future talent

Clementine Whitcomb, data engineer, EDF, spoke with DataIQ about her experience completing a graduate scheme and why all businesses should look to introduce their own.
Planning data apprenticeships? Follow these 5 Ps

David Reed, DataIQ’s chief knowledge officer and evangelist, explores what is required to solidify a data talent pipeline with an apprenticeship scheme.
5 ways to spot strong data culture

A strong data culture is something all data leaders aspire to achieve for their business – but what are the signs of success?
Five ways to spot strong data culture

A strong data culture is something all data leaders aspire to achieve for their business – but what are the signs of success?
3 ways to smash silos

How can data silos can be addressed by data leaders to ensure effective communication, cooperation, and compliance?
CDO Challenges – Smashing silos

This instalment of CDO Challenges examines how data silos can be addressed by data leaders to ensure effective communication, cooperation and compliance.
AI regulation steps forward across the EU following a new Act

The EU is creeping ahead of other regions in the race to take charge of AI regulation, but what does this mean for real-world businesses?
How do you persuade business decision makers to follow the data?

Data practitioners know first-hand the importance of following the data to make key strategic decisions – but how can business decision makers be persuaded?