Data, AI, & Machine Learning

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.

Elizabeth Renieris of the Notre Dame-IBM Technology Ethics Lab discusses how businesses can responsibly govern AI projects.

This Strategy Guide offers expert advice on gauging your organization’s technical readiness for AI.

PepsiCo’s Colin Lenaghan discusses AI’s role in the company’s pricing strategy and ongoing digital transformation.

Practical strategies for hybrid work, linking good intentions to intentional actions, and Daniel Kahneman on “noise.”

A dedicated team can help maximize the utility — and competitive advantage — of automation systems.

Home Depot’s Huiming Qu discusses how the home improvement retailer leverages AI to improve the customer experience.

Identifying the potential public harm of new AI tools should be part of prelaunch due diligence.