A meeting with company representatives of Kaufland, Bulgaria – Iveta Georgieva and Coca Cola, Bulgaria – Lilia Velinova was organized to consult them on digital transformation utilizing big data analytics, AI, and innovative HPC technologies. The main opportunity of the consultation was to demonstrate expertise, address concerns, and outline a tailored approach.
Different questions were asked to grasp the companies current challenges, opportunities, and desired outcomes from implementing digital transformation initiatives.
Related to the company strategies was discussed how leveraging big data analytics can help the company derive actionable insights from large volumes of data. Methodologies for data collection, processing, analysis, and visualization to drive informed decision-making and enhance operational efficiency were presented. Another important question was about the potential of AI in automating processes, predicting trends, and personalizing customer experiences. Discussed were specific AI applications relevant to the company’s industry, such as predictive maintenance, demand forecasting, and customer segmentation. Special attention was given to the concept of HPC and its role in accelerating computational tasks, such as complex simulations, modeling, and deep learning algorithms. Highlights on how HPC infrastructure can enhance the scalability, speed, and accuracy of data analytics and AI algorithms were also presented.
UNWE was presented by prof. V. Kisimov, prof. K. Stefanova, prof. Tsv. Stoyanova and At. Dimitrov