Digitalisation

The AI Act: Shaping Europe's Digital Future and Transforming the Energy Sector

The EU’s Artificial Intelligence Act (AI Act) is a comprehensive legislative framework designed to regulate AI systems throughout the EU. It introduces a risk-based classification system: from unacceptable risk to minimal risk. High-risk AI systems must meet stringent requirements such as robust risk management, high-quality data, and human oversight before they enter the market. The Act has an extraterritorial impact, applying to entities outside the EU if they affect EU citizens. To foster trustworthy AI use, the Act requires transparent operations, labeling AI interactions, and prohibits high-risk practices like social scoring and indiscriminate use of biometrics by law enforcement. Innovations and SME growth are supported through provisions like regulatory sandboxes for testing AI and specific SME support mechanisms. The AI Act details enforcement measures, with potential penalties for non-compliance reaching €30 million or 6% of global turnover. Additionally, it offers a redress system for individuals harmed by AI systems. The Act also has significant implications for the energy sector, where AI controls supply management and optimizes energy consumption across industries. The energy sector must ensure AI systems adhere to mandates for accuracy and data governance. Regulatory sandboxes could be instrumental in testing AI applications in energy, supporting the industry's digital transformation. Overall, the AI Act seeks to harmonize AI regulation while promoting ethical standards and innovation, impacting various sectors, including energy, and requiring adjustments to comply with this evolving regulatory landscape.

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The Future of AI: Navigating the AI Act and its impact on energy transition
Digitalisation

The Future of AI: Navigating the AI Act and its impact on energy transition

The EU's AI Act introduces a risk-based framework for AI, mandating requirements for high-risk systems and enforcing compliance. It addresses AI's potential in energy optimization, while emphasizing fundamental rights, safety, and a human-centric approach, with the IEA highlighting AI's role in achieving sustainability goals.

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Energy Efficiency in Food Manufacturing: Sustainable Growth Through Smart Technologies
Digitalisation

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
Digitalisation

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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Digital Supply Chain Dynamics: Insights from Indonesia’s Food and Beverage Industry
Digitalisation

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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Energy Insights: The Secret Sauce for the Food and Beverage Industry
Digitalisation

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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Revolutionizing Transit: Europe's Top Smart Mobility Solutions
Digitalisation

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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TRANSFORMATIVE EFFORTS IN RESHAPING EUROPE'S ELECTRICAL LANDSCAPE: INSIGHTS FROM THE ONENET PROJECT FINAL EVENT
Digitalisation

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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New R&D Funding Opportunity to Upscale Circular Economy Practice in Cities
Digitalisation

New R&D Funding Opportunity to Upscale Circular Economy Practice in Cities

CircularPSP, a consortium of eight European CE cities, is investing €5.64 million in CE R&D to expedite the circular practice adoption in municipalities and local businesses. The call for tender targets suppliers to create innovative CE solutions, with the bid deadline set for April 1, 2024.

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Artificial Intelligence Act: Landmark Deal Reached for World's First AI Rules
Digitalisation

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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