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  • Published on
    June 26, 2025

    Smart MES in Industry 5.0: How Machine Learning Revolutionizes Continuous Improvement in Renewable Energy

    AIOmnimesIndustry 5.0OmniMES
    ROI: up to 15% efficiency gains and 10–20% better energy storage performance – this is the real power of AI in modern energy. In the era of Industry 5.0, where technology merges with a human-centric approach, the renewable energy sector is growing at an unprecedented pace – with 18.6 GW of additional solar capacity installed in the first nine months of 2024. Manufacturing Execution Systems (MES) enhanced with machine learning are becoming a cornerstone of this transformation, delivering both business and technical benefits.
  • Published on
    June 12, 2025

    Industry 5.0: How AI and Advanced Connectivity Are Revolutionizing Industrial Monitoring

    Industry 5.0AI5G
    Industry is on the brink of a new revolution. Industry 5.0 marks an era of human–machine collaboration that prioritizes sustainability, where AI is not merely a tool but a strategic enabler of transformation. Unlike Industry 4.0, which focused on automation and digitalization, Industry 5.0 emphasizes human–machine collaboration, sustainable development, and the integration of ESG (Environmental, Social, Governance) principles with advanced technologies.
  • Published on
    June 20, 2024

    Ollama - Practical Use of Local AI Models Exemplified by the OMNIMES System

    AIAI localllama3MetaGemmaMistralGPT-4GPT-3.5
    The Ollama project is an open, free software that allows running local AI models, specifically large language models (LLMs), on your own computer or server. Due to its low hardware requirements, this software is accessible to medium and small businesses, providing access to 93 AI models without significant limitations.
  • Published on
    June 10, 2024

    Practical Application of AI Assistant: Integration of OpenAI's GPT API with a Web Application for Data Analysis

    AIData AnalysisData SecurityGPT-4 APILLM Models
    Learn how to integrate the GPT-4 API with a web application step by step to leverage advanced data analysis features. Example in Python and Flask, along with settings and data security.
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