The term "Big Data" may have fallen out of fashion, but the issues it raises continue to challenge research and development. Data in any form and from any source continues to grow as it becomes cheaper to collect and store and the perception of its value increases. Data science and artificial intelligence projects are now faced with huge amounts of data, which presents a challenge for data management and processing within a given project, as well as for managing multiple projects within a research and development unit. Therefore, we are researching novel High Performance Computing (HPC) and High Performance Artificial Intelligence (HPAI) solutions to parallelize the processing of scientific workflows to industrial inference pipelines.