DataIQ has set up a DEI working group and Manraj Othi, lead decision scientist at Starbucks, took the time to chat with our editor to discuss why DEI is important and his experiences.
As AI continues to grip the business world and open more doors than ever before, it is pivotal to have data on a pedestal within an AI strategy to drive decisions and inform stakeholders.
CDOs need to stand up and embrace the spotlight for their efforts while ensuring top-level executives understand why recognition is important to future data success.
With generative AI paving the way for a new era of data, businesses are rapidly seeking ways to incorporate tools into their operations, DataIQ member News UK delves into their approach.
Business leaders are in a race against competitors to make the best decisions possible for their objectives and it is up to CDOs and data to guide them.
Much like death and taxes, issues with data quality are a part of life for data practitioners – but there are steps to be taken to reduce any impact poor quality data may have on a business.
Are tools such as ChatGPT cutting non-English languages out of the AI revolution? As these tools are currently only designed to work in English, do we risk alienating swathes of the global population?
Data literacy is a challenge faced by all data teams, but to improve the rates and spread of data literacy, CDOs must understand how data literacy looks in different departments.
It can be very easy for CDOs to be pushed into adopting AI tools because of excited decision makers, but CDOs need to ensure they have thought about how AI can successfully be implemented.
ML and AI tools have exploded in use for data organisations, but what more can be done to improve quality, compliance and efficiency with the models? DataIQ member Robert Bates, head of decision sciences, Currys, provides expert insight in this report.
As a data leader it is imperative to create a data vision that can be demonstrated to decision makers for short and long-term projects, but how can one be formed?
This edition of CDO Challenges looks at how CDOs need to craft their storytelling abilities for audiences that are often unfamiliar with data value, data culture and data processes.
DataIQ members can now use the DataIQ Data Literacy Assessment to evaluate team-specific data literacy credentials and implement improvements.
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.
