At Elanco, we believe that making life better for animals starts with creating a workplace where our people can thrive. That’s why we’re thrilled to share that Elanco has officially been recognized as a Great Place to Work® Certified company!
Through advocacy, education, and connection, the Environmental Action Group is driving meaningful change across Medtronic and in our communities around the world.
Responsible manufacturing and environmental stewardship are inherent to Chemours’ vision of trusted chemistry and a strategic imperative to strengthening our long-term outlook. Sustainable operations help ensure that both our business and our planet thrive over the long term.
Well-suited for environments sensitive to noise and emissions and for working in proximity to people and animals, New Holland’s fully electric C314X compact tracked loader will be displayed alongside other machines from its Light Equipment lineup at Agritechnica 2025.
PotlatchDeltic Corporation, as part of the global Forestry Natural Capital Project, joined 17 other forestry organizations representing stewardship of forests in 38 countries, in unveiling a major milestone in the sector’s global collaboration
LaTonya Neely has always been interested in health and nutrition. But it was her young son’s struggles with being bullied for his weight that prompted this military veteran to drastically change the way her family approached wellness — and launch a new business, as well.
Federal Express Corporation, one of the world’s largest express transportation companies, is ramping up its commitment to sustainable logistics in Malaysia with the deployment of 41 new Maxus e-Deliver 3 electric vans.
I begin with two things that are true: we need to expand green energy development to meet net-zero targets, and farmers need access to their land to continue feeding the country as they have for generations.
My interest in machine learning—and more broadly, statistical techniques—comes from the ability to uncover patterns and insights that people can’t easily see, especially when working with large-scale datasets.
