DigitalizaçãoDigitalização
The European Union's AI Act establishes a legal framework for AI that prioritizes human-centric and trustworthy development while safeguarding fundamental rights. It introduces a risk-based classification for AI systems, categorizing them into four levels (unacceptable, high, limited, minimal risk), with corresponding regulations. High-risk AI systems must adhere to stringent requirements, including risk management, data governance, and transparency. Compliance and enforcement are outlined with the creation of an AI Office and national authority roles, and non-compliance penalties are enforced to ensure accountability. In the energy sector, AI has the potential to revolutionize supply chains, enhance efficiency, and integrate renewable sources. Smart grids managed by AI can improve reliability by balancing supply and demand in real time. AI-driven predictive maintenance can reduce downtime and maintenance costs, facilitating a smoother integration of renewable energies. On the demand side, AI enables energy optimization for consumers and industries through smart meters and energy management systems, promoting efficiency. The International Energy Agency (IEA) recognizes AI's role in achieving energy efficiency and sustainability, highlighting the need for robust data governance and international cooperation. The AI Act is poised to foster responsible AI innovation, fully exploiting AI's benefits in sectors such as energy while ensuring ethical compliance and collaboration among stakeholders. Europe aspires to set a global benchmark for AI regulation through continuous policy and practice refinement.
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Energy Efficiency in Food Manufacturing: Sustainable Growth Through Smart Technologies
The paper discusses the critical role of energy efficiency in food production, emphasizing the need for food manufacturers to adopt energy management practices to remain competitive and sustainable. It outlines the benefits of benchmarking and KPIs, the adoption of frameworks like ISO 50001, and the utilization of advanced monitoring, control systems, and ICT for improved energy performance. It also addresses barriers to implementation and strategies for overcoming these challenges.
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EEIP Leads the Way in Transparent and Responsible AI Use
EEIP's AI policy emphasizes transparency, ethical behavior, and data protection, aligning with EU guidelines to foster trust and drive responsible AI in the energy sector for sustainable, innovative solutions like CircularPSP and DMaaST, within regulatory compliance.
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Energy Insights: The Secret Sauce for the Food and Beverage Industry
The paper outlines how food and beverage companies can use Energy Management Systems to cut costs, increase efficiency, and promote sustainability by using real-time data and predictive maintenance, bolstered by IoT and smart sensor technology.
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Digital Supply Chain Dynamics: Insights from Indonesia’s Food and Beverage Industry
The study explores how digitalization enhances operational performance in Indonesia's food and beverage sector, stressing improvements in quality, productivity, and cost efficiency through technologies like IoT, robotics, cloud computing, and blockchain.
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TRANSFORMATIVE EFFORTS IN RESHAPING EUROPE'S ELECTRICAL LANDSCAPE: INSIGHTS FROM THE ONENET PROJECT FINAL EVENT
The OneNet Project Final Event marked the culmination of efforts to reshape Europe's electricity system. Key topics included TSO-DSO coordination, market design, consumer engagement, and leveraging data for grid operations. The initiative aligns with EU interoperability objectives and promotes a sustainable, unified market.
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Revolutionizing Transit: Europe's Top Smart Mobility Solutions
Europe advances smart mobility, driven by sustainability and urbanization challenges. EU policies promote electric and autonomous transport, integrating innovations like IoT, MaaS, and AI. Case studies from Barcelona, Stockholm, and Amsterdam highlight smart solutions reshaping urban travel, setting global benchmarks.
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Artificial Intelligence Act: Landmark Deal Reached for World's First AI Rules
The EU's Artificial Intelligence Act, following a three-day negotiation, aims to integrate AI into the European market, balancing innovation with fundamental rights protection. The act's risk-based approach sets stringent rules for high-risk AI applications, excludes certain AI uses, and provides specific law enforcement exceptions. It establishes a governance system, including an AI Board, and introduces penalties for violations. The legislation will take effect two years post-enactment, with a focus on transparent and responsible AI development.
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Research and Development Funding: IT services to help municipalities transition towards Circular Economy
European cities, regional and national organisations have to transition towards Circular Economy. Only 10% of the cities have advanced on circular transition, as it is particularly complex. Municipalities and local businesses across Europe are facing four interlinked challenges.
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ChatGPT and the EU’s Artificial Intelligence Act
The European Union is considering a new legal framework that aims to significantly bolster regulations on the development and use of artificial intelligence. The proposed legislation, the Artificial Intelligence (AI) Act, focuses primarily on strengthening rules around data quality, transparency, human oversight and accountability.
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