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.
EU AI Act progresses AI regulation in 2024

The EU is creeping ahead of other regions in the race to take charge of AI regulation with the EU AI Act, but what does this mean for real-world businesses?
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?
Each US government agency must have a Chief Data Officer

A new Code in the US means that a CDO must be appointed for each government agency in a push to improve data-driven decision making and improve governmental efficiencies.
2023 DataIQ Annual Review

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?
Developing and introducing an ethical AI framework

Data leaders looking to introduce an ethical AI framework can look back to the way GDPR was implemented to provide guidance on how it can be approached.
What the EU AI Act means for you

As the EU releases new information around the EU AI Act, David Reed examines what the new rules will mean for data leaders in the near future.
Data office readiness for genAI

New findings lay out how business and data leaders are introducing, adopting and scaling the latest generative AI tools to improve business with data-led decisions.
Data office readiness for generative AI

New findings lay out how business and data leaders are introducing, adopting and scaling the latest generative AI tools to improve business with data-led decisions.
The foundations needed for data- and AI-led growth

A new report discovers how data leaders are laying the groundwork for future growth driven by AI insights.
How to persuade data owners to be data stewards

It is one thing to own data sets, but another entirely to be responsible for its use and upkeep – so how can data leaders encourage team members to become data stewards?
How do you influence data owners to be data stewards?

It is one thing to own data sets, but another entirely to be responsible for its use and upkeep – so how can data leaders encourage team members to become data stewards?
How do we successfully implement machine learning ops within our data tech stack?

Machine learning is rapidly becoming an essential part of data tech capabilities, but there is still a level of risk involved and no definitive set of rules for introducing these new operations.
How do we implement machine learning ops within our data tech stack?

Machine learning is rapidly becoming an essential part of data capabilities, but there is still a level of risk involved and no definitive set of rules for introducing these new operations.
Number of women in entry-level data roles more than halved in 2023

The proportion of women in entry-level data roles has more than halved in the UK and the US and declined in the EU data industry in 2023.
Data beyond limits: Unleashing the power of your organisation’s visionary data strategy

We have asked those who have made it into the DataIQ 100 to share their experiences regarding fixing the data foundations of their organisation, particularly with regard to data quality.
Data Leaders – Priorities for 2024

What are data leaders focusing on in 2024? Examine the latest DataIQ findings to see how your data office compares.
Acquiring the data talent needed to achieve your data strategy

CDOs need to educate teams across an organisation and ensure a robust data strategy is in place to capitalise on the transformative insights available.
AI must be embraced for progress and development

AI is here, and data offices need to embrace it or suffer the consequences of having their businesses falling behind competitors in the very near future.