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

Where to begin: 3 IBM leaders offer guidance to newly appointed chief AI officers

4 min read - The number of chief artificial intelligence officers (CAIOs) has almost tripled in the last 5 years, according to LinkedIn. Companies across industries are realizing the need to integrate artificial intelligence (AI) into their core strategies from the top to avoid falling behind. These AI leaders are responsible for developing a blueprint for AI adoption and oversight both in companies and the federal government. Following a recent executive order by the Biden administration and a meteoric rise in AI adoption across…

Scaling generative AI with flexible model choices

5 min read - This blog series demystifies enterprise generative AI (gen AI) for business and technology leaders. It provides simple frameworks and guiding principles for your transformative artificial intelligence (AI) journey. In the previous blog, we discussed the differentiated approach by IBM to delivering enterprise-grade models. In this blog, we delve into why foundation model choices matter and how they empower businesses to scale gen AI with confidence. Why are model choices important? In the dynamic world of gen AI, one-size-fits-all approaches are…

Unlocking the power of AI across the hybrid cloud with watsonx and Fusion HCI

3 min read - AI adoption is paramount in today’s business organizations, but the path to AI adoption can be filled with curves, bumps and uncertainty. Enterprise-ready SaaS environments may not be appropriate for highly sensitive data and applications for some companies, especially those in regulated industries. Many organizations have built on-premises infrastructure and processes to accommodate their security and data sovereignty requirements. But while these systems have been engineered to support more traditional enterprise IT workloads, they are often ill-prepared for the intense…

IBM Newsletters

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