Data & Data Culture

After deploying hundreds of AI solutions, financial services company USAA is breaking new ground with generative AI.

Federated learning enables organizations to use high-quality external data to improve AI models while preserving privacy.

The right data and the right people are essential to AI success.

On the Me, Myself, and AI podcast, Asana CIO Saket Srivastava discusses how AI can help improve project management.

Mathematica CIO Akira Bell discusses the role of the chief information officer and best practices on data governance.

Many marketing teams struggle to identify metrics that will support business strategy. A change in approach can help.

Organizations can develop effective digital twins despite limited training data by combining AI and human knowledge.

This Canadian bank has become known for developing AI tools that are both innovative and responsible.

Gaining value from data assets that include customers’ personal information requires advanced data protection tactics.

A combination of biology and digital engineering is saving lives via improved disease detection.

Persuading employees to use data to make better decisions requires both top-down leadership and grassroots initiatives.

Lufthansa launched an effective program to turn all its leaders into data leaders and propel its digital transformation.

The nonprofit is delivering technology and services to help its staff build AI applications efficiently and safely.

Smart organizations need smarter KPIs. This report outlines how leaders can create and capture value from smart KPIs.

Generative AI tools suit some decision-making situations, but not all. Here’s how to pick the best approach.

Three new surveys of data executives have identified five trends they’ll be paying attention to in 2024.

Is your AI project using the right data, and is it set up to succeed? Ask the right questions to head off failure.

On the Me, Myself, and AI podcast, Chevron’s Ellen Nielsen explains how AI supports workers and operational efficiency.

Employees in connector roles can bridge the gaps between departments that often thwart data science project success.

Leveraging data assets for significant financial returns requires company-wide effort and education.