April 3, 2023 By Ray Spicer 2 min read

Over a 30-year career in the U.S. Navy, I’ve eaten many meals aboard ships of all sizes, from destroyers to nuclear-powered aircraft carriers. I know that few things can make or break the morale of a crew, a fleet or an entire armed service quite like the quality of food coming out of the mess. And when crew favorites are in short supply or delayed because of logistical bottlenecks, commanders are right to worry about combat readiness.

America’s military faces significant supply chain challenges. In November of last year, The Wall Street Journal reported how the U.S. armed services rely on bulky truck convoys or air resupply to provide critical goods to our men and women in uniform. Not just ammunition and equipment but, yes, even food. With so many threats in the geopolitical environment, these shortages pose very real threats to America’s national security. In short, our military’s food supply chain must be prepared for the challenge of an armed conflict.

That’s why I’m proud that my company, IBM, and our ecosystem partner, CubeWise, have stepped in to help our sailors at this critical moment. And we’re doing it with technology that is on everyone’s mind, from citizens to federal agencies to Capitol Hill: artificial intelligence (AI).

In January, the U.S. Navy announced a proof of concept that will harness the power of AI to improve food availability and fleet readiness. Organizations today use less than 10 percent of their supply chain data, and they’re totally blind to the 80 percent that is dark or unstructured. IBM will use the AI capabilities of Planning Analytics with Watson® to bring Navy food supply data together and harness its insights. This will allow U.S. Fleet Forces Command, together with its partners, to better plan, predict and balance food supplies while reducing supply chain risks.

The project (and the technology powering it) incorporates both internal and external data, and can adjust for resource constraints, sudden capacity changes and commodity pricing. It will improve forecasting and provide predictive capabilities across the fleet’s food supply chain. And this effort is just the beginning. The technology is product-agnostic, meaning it could easily help our military address supply chain issues on everything from medical supplies to fuel, munitions and beyond.

But that’s the future. Right now, our focus is on delivering for the dedicated sailors in the mess line, waiting for their well-deserved meal. IBM is proud to support them, and we salute their service.

Learn more about end-to-end supply chain visibility

Was this article helpful?
YesNo

More from Artificial intelligence

AI transforms the IT support experience

5 min read - We know that understanding clients’ technical issues is paramount for delivering effective support service. Enterprises demand prompt and accurate solutions to their technical issues, requiring support teams to possess deep technical knowledge and communicate action plans clearly. Product-embedded or online support tools, such as virtual assistants, can drive more informed and efficient support interactions with client self-service. About 85% of execs say generative AI will be interacting directly with customers in the next two years. Those who implement self-service search…

Bigger isn’t always better: How hybrid AI pattern enables smaller language models

5 min read - As large language models (LLMs) have entered the common vernacular, people have discovered how to use apps that access them. Modern AI tools can generate, create, summarize, translate, classify and even converse. Tools in the generative AI domain allow us to generate responses to prompts after learning from existing artifacts. One area that has not seen much innovation is at the far edge and on constrained devices. We see some versions of AI apps running locally on mobile devices with…

Chat with watsonx models

3 min read - IBM is excited to offer a 30-day demo, in which you can chat with a solo model to experience working with generative AI in the IBM® watsonx.ai™ studio.   In the watsonx.ai demo, you can access some of our most popular AI models, ask them questions and see how they respond. This gives users a taste of some of the capabilities of large language models (LLMs). AI developers may also use this interface as an introduction to building more advanced…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters