  Ocean warming significantly affects the fishing industry, with species like
Scottish herring and mackerel migrating northwards. Our research, a fusion of
artificial intelligence, data science, and operations research, addresses this
crisis. Using Long Short Term Memory networks, we forecast sea surface
temperatures (SST) and model fish migratory patterns with Enhanced Cellular
Automata. A corrective factor within our model adjusts for human impact on SST,
guiding diverse mitigation scenarios. We apply operational research to
strategize responses, including the modernization of fishing vessels as a less
costly alternative to relocation. Our data-driven approach, suggesting fleet
modernization, strategic relocation, and product diversification, offers an
effective approach to mitigating the threats to the ocean warming phenomenon.
