Data Strategy

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.

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.

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.

Business leaders can identify and avoid flawed AI models by employing statistical methods and statistics experts.

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

This free webinar offers expert insights on effective data-management strategies for AI adoption.

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

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

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.

A data monetization matrix can help leaders assess opportunities and approaches for converting data into revenue.

This free webinar offers business insights about application programming interfaces (APIs).

This Strategy Guide offers expert advice on creating a comprehensive and flexible cloud strategy.

The journey to be more client-centric has brought a focus on artificial intelligence and data at Northwestern Mutual.

This issue of MIT SMR focuses on talent management, innovation strategies, and emerging technologies.

Based on their research, the authors share four key ways companies can advance their strategic data-sharing initiatives.

The human side of data continues to challenge companies.