Data & Data Culture
The Enduring Power of Data Storytelling in the Generative AI Era
Generative AI tools suit some decision-making situations, but not all. Here’s how to pick the best approach.
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.
Effective governance enables KPIs to evolve, remain aligned with strategic goals, and gain workers’ and managers’ trust.
FedML technology could help smaller companies train their machine learning models on larger, decentralized data sets.
On the Me, Myself, and AI podcast, Expedia Group’s Rathi Murthy discusses how AI is changing the travel industry.
On the Me, Myself, and AI podcast, Lego’s head of data engineering explains its approach to digital transformation.
Based on their research, the authors share four key ways companies can advance their strategic data-sharing initiatives.
Managers need more thoughtful and effective data collection practices to advance DEI in their organizations.
In this webinar, Ishit Vachhrajani of AWS offers expert advice on becoming a data-driven business.
Want to establish a genuinely data-driven organization? Read this Management Briefing to learn how.
Crisis-driven innovation, self-sufficient production, and data to boost diversity.
Collecting and analyzing the right employee data can help leaders build more equitable workplaces.
Top chief data officers share insights on how leaders and organizations can ensure data success.
A Q&A with AWS’s Ishit Vachhrajani on how leaders can generate excitement about and support for AI organization-wide.
A Q&A with AWS’s Rahul Pathak on the advantages of transitioning your company to a data-driven enterprise.
A human-AI workforce, today’s tech bubble, dealing with deregulation, a misplaced focus on metrics.
Some want big tech companies broken up. Others call for stiffer industry oversight. Who’s right?
New research by MIT SMR Connections and NETSCOUT reveals IT leaders’ data analytics priorities.
New research by MIT SMR Connections and SAS reveals how organizations build trust in analytics.
Recording expectations improves decision quality, risk management, and leadership development.