Tag: machine learning

Ethan Soloviev – AI, good food at Davos, food as medicine and regen taking off

A check- in conversation with Ethan Soloviev, Chief Innovation Officer at HowGood, about how regenerative agriculture is truly taking off, its position within large food and agriculture companies, and whether we risk watering it down or falling into greenwashing (Spoiler: Surprisingly, we’re doing a lot about it!). We also get an update on HowGood—they’re doing well and focusing more on nutrient density-, plus, we talk about Regen House, which is revolutionizing the way good food fosters meaningful conversations at major events like COPs, climate summits, and Davos, t bringing farmers, indigenous community members, and global executives together around regenerative food experiences. By centering conversations on actual good food rather than panels and PowerPoints, these gatherings forge authentic connections that move regeneration forward.

And, of course, no conversation with Ethan would be complete without diving into AI—what currently does and what it could do for regeneration—not just through efficiency gains, but through innovative applications like predicting deforestation before it happens. The real breakthrough will come when we develop “large ecological models” trained on nature’s patterns rather than just human texts, enabling truly regenerative landscape design.

As Chief Innovation Officer at HowGood, Ethan offers a glimpse into how sustainability data is transforming food systems. Their database tracks environmental and social impacts for 33,000 ingredients and nearly 4 million products globally, enabling everything from carbon footprinting to supplier engagement. What’s particularly encouraging is how this data influences consumer behavior—when sustainability information is presented clearly at the point of purchase, sales of sustainable products consistently increase across diverse markets.

Paul Clarke – Smart Machines, AI and Modeling: engineering our way out

A conversation with Paul Clarke, technologist, innovator, inventor about technology and innovative tools from various domains, including modelling, digital twins, digital shadows, robots, and other smart hardware solutions that are crucial for the regenerative transition—tools we’ve barely begun to consider, let alone adopt.

We often hear about AI, machine learning, and large language models, but these represent only a fraction of what is currently available. Paul argues that the challenges we face are so immense that we cannot afford to ignore the potential of these technologies. They are essential for building better farms, advancing farm technologies, creating smarter robots and hardware, developing improved food systems, optimising food warehouses, and so much more.

Eric Archambeau – Drawing from his Silicon Valley experience and after having put €300M to work in food and ag tech, now is the moment to raise VC funds writing €100M checks

A conversation with Eric Archambeau, co-founder of Astanor Ventures, about the early-stage space slowly getting crowded, the enormous influx of talent focussing on food, agriculture and soil, health care costs, AI/ machine learning, the computational power and the future of regenerative agriculture.