Globally, a third of the food produced is lost or wasted, and in Kenya, that figure stands at between 20% to 40%.
Farm to Feed, an agri-tech based in Kenya, is one of the fast-risers in the space.
Farm to Feed teams then sort, grade and dispatch the products to clients from its warehouse in Kenya’s Capital, Nairobi.
Data collectionOn top of the e-commerce platform, Van Enk said they are building a data platform by collecting granular data including on climate and drivers of food loss, for better farming outcome and to create a more circular food system.
I do think that food loss is such a huge impact opportunity and also a very good commercial opportunity,” she said.
Mermaid, the open source diagramming and charting tool, has long been popular with developers for its ability to create diagrams using a Markdown-like language.
They were watching ‘The Little Mermaid.’ That’s why I named that eight years ago.”Early on, Mermaid was mostly about flowcharts, but over time Sveidqvist added other diagram types — and the community quickly made it its own, too.
Firestone told me that the cloud version of the open source project had 4 million users last year.
That’s a market Mermaid Chart is looking to address by building easier-to-use tools for this group of users.
“Mermaid Chart is expanding the community by bringing the benefits of Mermaid to all types of business users, leveraging AI as a catalyst.
We’ll publish several pieces throughout the year as the AI boom continues, highlighting key work that often goes unrecognized.
Miranda Bogen is the founding director of the Center of Democracy and Technology’s AI Governance Lab, where she works to help create solutions that can effectively regulate and govern AI systems.
For the most part, AI systems are still missing seat belts, airbags, and traffic signs, so proceed with caution before using them for consequential tasks.
Consider how the success of the AI system you are working on has been defined, who that definition serves, and what context may be missing.
Intense competitive pressure to release the newest, biggest, and shiniest new AI models is leading to concerning underinvestment in responsible practices.
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