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

A transportation and logistics company CEO discusses using AI to deliver biologics and vaccines safely and efficiently.

Salesforce’s Paula Goldman discusses how the tech company produces value-creating solutions with ethics in mind.

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

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

New research points to a strong, multidimensional link between AI use and improvements in organizational culture.

Kartik Hosanagar’s AI-powered startup aims to help new voices find their way into film and TV.

Kay Firth-Butterfield (the World Economic Forum), Ya Xu (LinkedIn), and Charlotte Degot (BCG GAMMA) join MIT SMR senior project editor Allison Ryder for a discussion on innovating with artificial intelligence.

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

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

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

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

The Me, Myself, and AI podcast delves into how automotive supplier Cooper Standard uses open innovation to leverage AI.

JoAnn Stonier, chief data officer at Mastercard, discusses how design thinking enables better AI implementation.

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.

This webinar outlines how human-AI collaboration leads to measurable results for organizations.

Companies that emphasize collaboration between AI and human workers are best positioned for success.

Business — and society — should think of the governance of AI as an enabler rather than a constraint.