The next era of AI tools is being implemented, but businesses must evaluate whether their team and organisation is prepared for a future involving generative AI.
Ethical data is one of the most important and delicate parts of the data process; Heathrow is a large organisation navigating the topic and ensuring that ethical data is adhered to.
Data literacy definitions vary between organisations, but the results and goals are similar for everyone. DataIQ members debated what great data literacy should look like and why.
This edition of CDO Challenges looks at one of the most long-standing issues facing data teams – recruitment and retaining talent – and how CDOs can entice the next generation to work with them.
This edition of CDO Challenges delves into the problems non-data departments experience with data literacy which can hamper wider data culture development objectives.
The findings of unique roundtables and a whitepaper about generative AI from DataIQ’s members and advisory board have been published for members to benefit from.
Over the course of three unique DataIQ roundtables, members examined the role of generative AI tools and what can be expected from their implementation.
DataIQ members came together for a roundtable discussion on whether the development and implementation of data tech is matching the pace required.
With the fifth anniversary of the GDPR being introduced, it is important for businesses to examine why it is necessary and how they can best prepare for the next evolution of GDPR-style regulations.
Compliance and regulation are part and parcel of working with data. Consumer duty has recently been reworked and businesses need to ensure they provide the best care for their customers.
The volume of data required to be a world champion team in Formula 1 is staggering. NetApp, a partner of the Aston Martin F1 team invited Alex Roberts to see the data under the bonnet.
Education and communication are essential to harness the optimum value of data and data professionals in an age where technical capabilities are being pushed to new frontiers.
Technophobia is a problem with many facets that vary between teams and organisations, so what can be done to address the problem without alienating staff?
The UK’s Competition and Markets Authority (CMA) is examining AI foundation model development and use to ensure competition laws are met and consumer protections are in place.
This edition of CDO Challenges delves into data visualisation. By mastering the art of data visualisation, data leaders can deliver hard-hitting pieces of evidence to non-data professionals in a way that is digestible and resonates with their aims.
With data being touted as the new oil and the rapid increase of data capture capabilities, businesses must invest in tech and tools to create a data-driven operation that extracts quality from data.
Ordnance Survey’s new approach to distributing data showcases the scale of data use and prepares for a future of continued data hunger from users.
The use of artificial intelligence for businesses has escalated dramatically in recent years and there is good reason for this trend. However, there are some caveats to bringing in a new AI tool without fully understanding its capabilities.
Data ethics: without it, data businesses cannot progress. This edition of CDO Challenges looks at how data professionals can ensure data ethics are installed and upheld in organisations.
Girls Into Coding is a social enterprise determined to improve the gender imbalance in the tech space, challenge stereotypes and engage with underprivileged girls to develop new skills.
