DataIQ

Articles

AI scaling and upskilling for the DataIQ community

Jan 15, 2025 | dataiq.global | Alex Roberts

Scaling is a growing issue. AI must be scaled appropriately for organisations, but there are numerous difficulties in ensuring the scaling process is appropriate and effective for different businesses. DataIQ members came together to discuss their diverse approach to AI scaling and upskilling, unveiling the common themes of maintaining caution, focusing on data quality and ethics, and recognising the need for ongoing learning and adaptation.
2025 AI and data leadership – Executive benchmark survey leadership, transformation, and innovation in an AI future - DataIQ

Jan 10, 2025 | dataiq.global | Alex Roberts

IntroductionI first began surveying the most senior data leaders of Fortune 1000 and leading global organizations in 2012. The survey was undertaken at the behest of a group of Fortune 1000 CIOs and data leaders who were looking to understand whether it was time to expand and accelerate data and analytics initiatives and investments within their organizations, and not view these initiatives as “just another data project”.
Frontline lessons for organisational AI preparation

Jan 7, 2025 | dataiq.global | Alex Roberts

At the 2024 DataIQ 100 Summit, DataIQ partner BigID presented lessons on how organisations should prepare for their AI journey to an audience of data leaders. There are numerous considerations that CDOs and their teams need to make to ensure a business is ready for an AI future, and the experts at BigID laid out their thoughts on the process. As organisations continue to embrace AI, preparing data and infrastructure for its adoption has become a critical priority.
Winning awards – How EDF energised its data office vibe - DataIQ

Dec 5, 2024 | dataiq.global | Alex Roberts

Leadership is essentialAylward began by emphasising the importance of building a strong data culture within EDF and aligning the core of that culture with the net-zero emissions ambitions. This is a long-term journey that requires a consistent combination of leadership, technical expertise, and community. This is only possible with regular communication, clear storytelling, and buy in from senior decision makers.
Practical considerations in implementing data management

Dec 3, 2024 | dataiq.global | Rachael Pimblett

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Resilience by design: Building thriving data functions for turbulent times

Dec 2, 2024 | dataiq.global | Rachael Pimblett

Our exclusive data and organisational resilience report is your definitive guide to navigating these challenges. Backed by in-depth research into the evolving data landscape, this report uncovers the paradoxes and pitfalls businesses face while offering actionable insights through real-world use cases. Discover what’s inside:The resilience framework: Gain a clear understanding of what true resilience means for modern businesses.
Sainsbury’s personalisation at scale for actionable benefit customer health

Dec 2, 2024 | dataiq.global | Alex Roberts

Points for personalisationLoyalty points for Sainsbury’s and its partner businesses are earned through the Nectar programme, and these points are then redeemed for discounts, special offers, and similar incentives. By utilising the data, Jardine and his team were able to identify areas of growth and influence shopping decisions for millions of people across the nation that would positively impact their health and habits through personalisation.
DataIQ unveils the 2025 Future Leaders

Nov 28, 2024 | dataiq.global | Alex Roberts

“At a time when the data sector is facing into unprecedented opportunity, demand and technological change, while at the same time having to cope with pressure on resources, funding and talent, skilled leadership is essential to delivering on the promise of data and AI for organisations,” said David Reed, Chief Knowledge Officer and Evangelist, DataIQ.
The path to production and value with AIOps

Nov 27, 2024 | dataiq.global | Alex Roberts

Scaling AI and its obstacles DataIQ members have mentioned on numerous occasions that they experience difficulties when it comes to integrating their data into AI models. Some of these issues can be quality based, but others cite a lack of business interest in bringing the right data to the models.
How to win adoption of your data

Nov 25, 2024 | dataiq.global | Alex Roberts

David Reed (DR): Both of you have rather interesting job titles, so can we start the conversation by unpacking what you are accountable for and how that is supporting the wider goal of democratising data and driving up the data literacy in your organisation? Kate Jones (KJ): I am responsible for product management, so I have a team of product owners and that is the delivery arm – where we are delivering out – and I am engaging with the business.