SoftServe Unveils Four Pilot Programs Showcasing AI and Metaverse in Industry at NVIDIA GTC 2024

SoftServe, a leader in IT consulting and digital services, recently announced the launch of four new pilot programs to be showcased at the NVIDIA GTC 2024 conference, these programs are designed to highlight the capabilities of generative AI and metaverse applications in the industrial sector, through this initiative, SoftServe aims to demonstrate how these cutting-edge technologies can radically transform the industry by boosting innovation, enhancing operational efficiencies, and creating new experiences in the virtual world.

New Pilot Programs from SoftServe

Program Description
WarehouseSim A digital twin focusing on warehouse simulation and management within a virtual environment, this tool allows users to create simulation models of warehouses, enabling them to test and evaluate various designs and operations before real-world implementation, WarehouseSim aids planners and managers in optimizing warehouse layouts, organizing spaces, and testing operations to ensure efficiency and effectiveness before practical execution, reducing risks and increasing operational success chances.
Simulation First An innovative program utilizing simulation to enhance vertical farming practices in conjunction with robotics, it allows users to experience and analyze how robots interact within a virtual vertical farming system, evaluating the effectiveness of various operations and strategies, Simulation First aims to reduce costs and improve the efficiency of vertical farming, enabling users to refine techniques and processes before real-world application, leading to enhanced productivity and sustainability.
Industrial Copilot An innovative system leveraging generative AI, particularly large language models, to improve manufacturing processes. Acting as a virtual assistant, it provides support and advice to workers in the industrial environment, by integrating smart language models with manufacturing systems, Industrial Copilot aims to boost efficiency and productivity by offering workers timely information, operational recommendations, problem-solving assistance, and enhancing communication and collaboration within the industrial workspace.
Gen AI Assistant An AI assistant designed to enhance customer service experience using advanced conversational technologies, it accurately understands and responds to customer inquiries and needs, aiming to improve customer-service interactions by providing quick, precise responses and efficient problem-solving, ultimately enhancing overall customer satisfaction, additionally, it continuously learns and evolves from interactions to provide better and more personalized service.

Utilizing NVIDIA Technologies

The pilot programs introduced by SoftServe leverage advanced NVIDIA technologies such as Omniverse, NeMo, and Riva, these programs aim to showcase the application of digital twins, generative AI, and simulation in the industrial sector, with Omniverse, advanced and realistic simulation environments for industrial processes can be created, NeMo enables the development of AI models capable of understanding and processing natural language, while Riva enhances smart interactions by powering audio and visual AI applications. Combined, these tools provide insights into improving and evolving industrial processes using advanced technology.

Goals and Expectations

SoftServe’s objective is to highlight recent innovations in AI and the industrial metaverse at the NVIDIA GTC 2024 conference, attendees are expected to interactively and engagingly experience these technologies, with a special focus on natural language processing (NLP) and augmented reality, this approach is designed to provide a deeper understanding of how these technologies can be used to enhance industrial processes and create immersive experiences in virtual environments, reflecting SoftServe’s commitment to pushing the boundaries of technological innovation in the industry.


Related:

The Author:

Leave A Reply

Your email address will not be published.