Generative AI from a CIO’s perspective

This latest report delves into how CIO’s see the future of generative AI now that the technology looks to be a standard tool for data-driven businesses.
Silos and dashboards: Mars’ voyage of data foundations to influence today’s business decisions for a better tomorrow

DataIQ spoke with Deepak Jose from Mars Wrigley to gain insight into the monumental data journey that has taken place in recent years and radically altered the business data capabilities.
What CEOs expect from their best CDOs

Top tips for CDOs on what to demonstrate and highlight to build connections with their CEOs and wider business leaders.
DataIQ Member Case Study: Zurich Insurance – A new approach for a bright new data era

Zurich Insurance data leaders discuss their data transformation journey, providing unique insights for developing data operations in a highly regulated legacy business.
3 ways to smash silos

How can data silos can be addressed by data leaders to ensure effective communication, cooperation, and compliance?
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.