Data, AI, & Machine Learning

Seven steps to addressing burnout, an intersectional approach to mitigating bias in AI, and running mixed-mode meetings.

In artificial intelligence, race and gender too often generate a bias double whammy.

Retailers should analyze customers’ preferences before deciding how to optimize their delivery networks.

In-store technology promises a better customer experience — and fuel for improved retail analytics.

Developments in enabling technology are opening up more use cases for virtual models of real-world objects.

Making your organization fit for data, enhancing value with nontraditional stakeholders, and supporting working parents.

New research highlights nine key factors impeding organizations’ ability to advance their data science progress.

New value creation with strategic data assets, in-store shopping to build customer loyalty, and habits to enable enduring culture change.

To monetize data, companies must first transform it so it can be reused and recombined to create new value.

Barry Libert, CEO of AIMatters, describes how subscription models and a platform-first mindset can help organizations define valuable new offerings for customers.

Data science success strategies, developing simple “no-code” apps, and independent contractors’ outsider advantage.

Six strategies can help guide data science teams toward greater success in cross-unit projects.

The data science management process, job moves for pay equity, and political concerns in M&As.

In this webinar, speakers discuss the benefits and pitfalls of monitoring in-person and remote workers.

Moderna’s chief data and AI officer explains how AI helped the pharma company develop a COVID-19 vaccine in record time.

This Strategy Guide explores implementing AI as part of a larger digital transformation strategy.

Organizations should manage data science with an appropriate structure and enterprisewide process.

Many organizations have challenges with deploying AI. Wealth management is a clear exception.

Monolithic, highly interdependent organizations can become modular ones by embracing microservices.

There’s power in integrating subscription-based software, platform marketplaces, and machine learning.