Profiles, features and insights on the key trends, leaders, emerging stars and best practices within data, analytics and data science, originated by DataIQ and our partners
Data and analytics articles
Profiles, features and insights on the key trends, leaders, emerging stars, best practices within data, analytics and data science, originated by DataIQ and our partners
Data and analytics articles
Profiles, features and insights on the key trends, leaders, emerging stars and best practices within data, analytics and data science, originated by DataIQ and our partners.
DataIQ’s Chief Knowledge Officer and Evangelist, David Reed, examines the hype cycle around generative AI and the actual speed of transformation being seen.
EDF’s head of data and CRM, and member of the DataIQ 100 Martin Aylward, spoke to DataIQ editor Alex Roberts, about what data leaders need to succeed and how investment in data teams can provide extreme unseen wins.
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.
David Reed, DataIQ’s chief knowledge officer and evangelist, explores what is required to solidify a data talent pipeline with an apprenticeship scheme.
Legacy businesses have a unique set of challenges when adopting a new data-driven future. Data Driven Danske is a transformational journey taking Danske Bank employees to the next level of leveraging data and analytics to drive value for customers, shareholders, colleagues and broader stakeholders.
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.
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.
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