Machine Learning

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.

Our site is free and unlocked today through Thursday, and we’re offering recommendations to help you tackle your biggest challenges.

A Q&A with AWS’s Rahul Pathak on the advantages of transitioning your company to a data-driven enterprise.

Developing AI-enabled business models, managing corporate social responsibility, and growing digital ecosystems.

Leaders must focus on managing the gaps in AI skills and processes within the organization.

Companies and leaders must strive to build business models using three key components for growth.