| The past three years have seen unprecedented shocks to the global economy at all scales. Manufacturers across the world have already devoted considerable amounts of time and resources to anticipating and proactively responding to the pressures brought on by the coronavirus pandemic. And just this past year, with the war in Ukraine once more sowing the geopolitical landscape with instability, the existing global supply chain disruptions have been compounded by an energy crisis and by rising rates of inflation worldwide. But necessity is the mother of invention, and amid these challenges manufacturers are finding ways not only to adapt, but to make themselves more efficient, intelligent, and resilient in the face of the winds of change. In the manufacturing industry, 64% of enterprises (and counting) acknowledge the importance and necessity of developing AI-driven systems and processes. And a growing number of these companies have already begun to integrate AI across key business units and to derive value from them, paving the way to Everyday AI. In 2023, the companies that get out ahead will be those that take concrete steps to develop their AI maturity, especially in the face of global challenges and demands that will otherwise produce a strain upon legacy data systems and sclerotic processes. Whether the next step is upskilling data analysts into data scientists, or introducing MLOps into model deployment and integration, manufacturers of all sizes are seizing the benefits of AI-driven operations. As I’ll now discuss, four key challenges and opportunities will be top of mind for companies looking to adapt and thrive in 2023. |
Nature Coast Manufacturers' Association, Inc.
“To Expand and Improve the Competitiveness of Nature Coast Manufacturing Throughout the World”