Machine Learning

In the age of artificial intelligence, executives must make maintaining their AI literacy a habit.

To succeed with machine learning, manage projects as business initiatives, not technology projects.

Smart organizations need smarter KPIs. This report outlines how leaders can create and capture value from smart KPIs.

When deciding whether to deploy a machine learning model, focus on business metrics, not technical ones.

Todd Heimes of Amazon Business shares insights on procurement and digital transformation.

FedML technology could help smaller companies train their machine learning models on larger, decentralized data sets.

On the Me, Myself, and AI podcast, Pinterest’s Jeremy King discusses the technology behind the image-based platform.

On the Me, Myself, and AI podcast, Aflac’s CIO discusses tech hiring and the insurer’s use of artificial intelligence.

To succeed with AI, design applications and workflows that tap the best of what people and machines have to offer.

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

Starbucks’s former CTO discusses AI’s role in the company’s digital transformation on the Me, Myself, and AI podcast.

AI techniques can generate training data that retains the predictive power of real-world data.

Randstad and TCS executives offer insights on ethical use of AI for recruiting and hiring.

The technology for creating deepfakes offers the potential for companies to build positive customer experiences.

Amit Shah, president of 1-800-Flowers, explains why lifelong learners are the best technical talent.

Will Grannis of Google Cloud explains the organization’s collaborative approach to AI and machine learning innovation.

Lyft’s Craig Martell talks education, eliminating bias, and cross-functional collaboration on machine learning projects.

In this webinar, Jeffrey D. Camm and Thomas H. Davenport explain how the COVID-19 pandemic has impacted the practice of data analytics.

There are differences between what constitutes a successful early AI pilot and success in other types of  IT ventures.

Leaders need to examine their core beliefs if they want to prosper in a COVID-19 world.