ReFED is a national nonprofit working to end food loss and waste across the food system by advancing data-driven solutions to the problem. ReFED leverages data and insights to highlight supply chain inefficiencies and economic opportunities; mobilizes and connects supporters to take targeted action; and catalyzes capital to spur innovation and scale high-impact initiatives. Starting with the 2016 Roadmap to Reduce U.S. Food Waste, ReFED has developed a trusted history of producing first-of-their-kind tools and resources, providing a full-supply-chain picture of U.S. food waste, cost-effective solutions to reduce it, and methods to track progress. In February 2021, ReFED launched its new Roadmap to 2030 and Insights Engine, an online data center designed to serve as the next generation of data, insights, and guidance on U.S. food waste reduction. Solving this problem will have a significant impact on mitigating climate change, optimizing use of water, land, and other resources, and providing meals for the over 50 million people in the United States who currently face food insecurity.

What do technology leaders and professionals need to do to help their organizations achieve the holy grail of continuous intelligence? Look to artificial intelligence and machine learning to pave the way. However, achieving a state of continuous intelligence isn't an overnight sprint by any means -- many organizations aren't quite ready to bring together the adroit data management, automation, processes and skills needed to make things happen. That's the word from a three-part series published by ThoughtWorks, which advocates an approach it calls Continuous Delivery for Machine Learning (CD4ML), "a software engineering approach in which a cross-functional team produces machine learning applications based on code, data, and models in small and safe increments that can be reproduced and reliably released at any time, in short adaptation cycles." Employing data "to produce tangible outcomes for business is the real value driver and for that, we are seeing the world moving more towards intelligence," write Ken Collier, Mark Brand and Pramod N, all with ThoughtWorks.