Analytics & Business Intelligence

Orangetheory Fitness members get the most out of their group workouts with some help from both AI and human coaches.

Most companies that are using AI are deploying it for augmentation, not large-scale automation.

ADP’s Jack Berkowitz explains the benefits of having data strategy, data products, and AI oversight within the CDO role.

This issue of MIT SMR focuses on customer relationships and their connection to innovation and value.

Novo Nordisk’s Tonia Sideri explains how the pharma company uses AI to test new ideas before initiating tech projects.

This case study describes how Honeywell and EY teamed up to build a powerful compliance scorecard.

Land O’Lakes’ CTO explains how data and artificial intelligence help the organization support agricultural production.

Watch this webinar to learn about using data insights to empower employees and enhance productivity.

Increasing productivity today requires creating cultures based on empowerment, wellness, and trust.

Learn to achieve healthy productivity while boosting employee engagement, empowerment, and wellness.

Data science project failure can often be attributed to poor problem definition, but early intervention can prevent it.

Successful digital initiatives require metrics that track business results, not technology use.

Streamlined metrics can get people moving in the same direction and improve business performance.

Data-driven leaders are using machine learning to surface new KPIs and better align behaviors with strategic objectives.

Analyzing e-commerce clickstream data can give retailers insight into which delivery options customers prioritize.

David Kiron and François Candelon discuss the latest MIT SMR-BCG AI and business strategy report at Web Summit 2021.

Nasdaq’s Douglas Hamilton explains how his AI research team supports business units for the global exchange operator.

Learn how workplace analytics can be leveraged to build trust and increase employee empowerment.

ExxonMobil’s Sarah Karthigan discusses leading AI projects that focus on self-healing strategies for IT operations.

The visibility arising from digital employee monitoring requires purpose, policies, and management.