What do you do when your supply chain spans 200 warehouses and every bale of cotton has 20+ variables to juggle? If you're relying on spreadsheets, you're already behind.

In this episode, we explore how one major agribusiness partnered with SWARM Engineering to overhaul their cotton planning process. The result? AI that slashes decision-making time from days to minutes—and uncovers savings hidden in plain sight.

If you think agriculture is old-school, think again.

AI isn’t just another wave of technology—it’s a tsunami, reshaping industries at breakneck speed. Corporate giants, once untouchable, are now at risk of being left behind. In this episode, SWARM’s Executive Chairman Anthony Howcroft sits down with AI strategist Kevin Gohil—an advisor to Fortune 500 CEOs—to explore why big companies struggle to move fast, how AI is changing the rules of business, and what leaders must do to survive. With bold insights, real-world examples, and a few surprising statistics, this conversation cuts through the AI hype to reveal what’s really happening inside boardrooms worldwide.

The future belongs to those who adapt—so will today’s corporate titans make the cut? Tune in to find out.

Tariffs, trade deficits, and geopolitical power plays—what does it all mean for global trade, and more importantly, for businesses trying to navigate it? Economist Michelle Klieger, author of The Demise of Free Trade, joins us to break down the ripple effects of trade wars, why they’re not just about politics but about the everyday products we buy, and how companies can use AI and advanced decision-making to stay ahead. We dive into real-world examples—from sofas to soybeans—and explore why businesses that embrace AI could be the ones that not only survive but thrive in a world of constant disruption.

📖 Check out Michelle’s book: The Demise of Free Trade: The U.S.-China Trade War Explained

If you're curious about the role of AI in agrifood, and how AVA can provide tailored recommendations, translate complex terminology into user-friendly language, and guide users through the intricacies of Challenge Engineering...then we have a great podcast for you.

If you're curious about the future of food and agriculture, the role of technology, and the challenges and opportunities for agri businesses, then this podcast is for you.

If you're curious about modern artificial intelligence and machine learning in industrial IoT, then we have a great podcast for you!

If you're curious about what makes a good leader, how diversity, equity, and inclusion play a part in executive search. And what it takes to maintain women in leadership roles. Then we have a great podcast for you today. 

If you’re curious about optimizing, modernizing, or even digitizing the operational processes in your organization then you are in for a double dose today!  We have Aaron Magenheim, Co-Founder of Grower’s Insight and Anthony Howcroft CEO at SWARM Engineering both talking about how they work to help you do just that, optimize, modernize, and digitize.  

If you're curious about what it would be like to be a Quant, the invention of the q-learning algorithm, or if classifying million year old mice and vole teeth is a suitable problem for AI to solve then this podcast is for you.  Our guest is Chris Watkins, Professor of Artificial Intelligence at Royal Holloway, University of London but more famously known as the inventor of the Q-table algorithm that sparked the resurgence in reinforcement learning. Listen along as he and Anthony Howcroft (SWARM's CEO) talk about using reinforcement learning to solve challenges in the agri-food supply chain.

If you're curious about using data science and analytics to predict issues in the food value chain or how companies are using data to tackle sustainability initiatives then this podcast is for you.  Our first guest is Claudia Roessler, Director at Microsoft Cloud for Industry.  Listen along as she and Anthony Howcroft (SWARM's CEO) talk about sustainability and solving problems in the food value chain, using AI, data science, and machine learning.