ITHACA Project’s Post

Digitalisation as the key to future viability: 82% of energy companies in Germany report inefficient processes due to incompatible IT systems. This is the key finding of the Energy Insights 2024 study. It is clear to the 150 IT decision-makers surveyed by Frends Enterprise iPaaS: without comprehensive digitalisation and system integration, the future viability of energy companies is seriously at risk. Venko Kisev, Head of IT Modernization at MaibornWolff: “The study provides crucial information. Particularly interesting is the high number of energy companies experiencing significant efficiency impairments due to incompatible IT systems. Modernization and system integration are crucial not only for stabilizing ongoing operations but also for being equipped for future innovations.” The study identifies further fields of action: 1. 𝗡𝗲𝘁𝘄𝗼𝗿𝗸𝗶𝗻𝗴 𝗼𝗳 𝗲𝘅𝗶𝘀𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗻𝗲𝘄 𝘀𝘆𝘀𝘁𝗲𝗺𝘀:    There is a great need for integration, especially when it comes to data analysis and energy management. Legacy systems contain valuable data, but only by connecting them with modern solutions such as smart grids and IoT can we secure the energy supply of the future.     2. 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗮𝘀 𝘁𝗵𝗲 𝗸𝗲𝘆 𝘁𝗼 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆:    Almost half of IT managers see a great need for automation, particularly in energy management and data analysis. Automated processes reduce costs, increase efficiency and improve grid stability.     3. 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 - 𝗮 𝗴𝗿𝗼𝘄𝗶𝗻𝗴 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲:    Compliance with legal requirements and the integration of modern security solutions into outdated systems represent a major challenge. IT managers must ensure that their companies are prepared for the constantly growing threats.     4. 𝗖𝗹𝗼𝘂𝗱 & 𝗔𝗜 - 𝗧𝗵𝗲 𝘁𝗼𝗼𝗹𝘀 𝗼𝗳 𝘁𝗵𝗲 𝗳𝘂𝘁𝘂𝗿𝗲:    Cloud technologies and artificial intelligence are indispensable tools for increasing efficiency and innovation. Companies that successfully integrate these technologies will have a decisive competitive advantage.        Do you need help with this? Venko and our cloud, data and security experts look forward to hearing from you.    

Interesting findings of the #data_centers technology trends using the #AI 😊.. Here you go.. The data center industry is undergoing significant transformations driven by technological advancements. Here are some key trends shaping the future: 1. Sustainability and Efficiency - #Renewable_Energy: Transitioning to renewable energy sources is crucial, as data centers currently account for 1.5% of global #energy consumption, expected to reach 8% by 2030. - Heat Reuse: Repurposing excess heat from facilities to warm buildings, reducing global energy consumption and waste. - #Grid_Modernisation: Upgrading grid infrastructure to support growing demands and integrate renewable energy sources. 2. #Innovative_Technologies - #Artificial_Intelligence (AI) and Machine Learning: Revolutionizing data center operations with predictive analytics, #automation, and enhanced #cybersecurity. - #Liquid_Cooling: Efficient temperature management, reducing energy consumption and enabling redirecting excess heat for commercial or residential use. - #Edge_Computing: Distributing computing resources closer to data sources, reducing latency and improving bandwidth utilization. 3. Infrastructure and Operations - Automation: Streamlining routine workflows, increasing agility, and enhancing operational efficiency. - #Hybrid_Cloud: Integrating cloud solutions for cost-effective scalability, flexibility, and modernization . - #5G: Enhancing operational efficiency, data processing, and communication services.

We have gained a very interesting experience at the European SMART WATER UTILITIES. Xavier Torret, partner director of BGEO, had the opportunity to participate in the conference and discuss the topic about digitalization of the water utilities. Lots of interesting things have been discussed during these last two days. Many ideas and expectations were shared to overcome future challenges, such as: climate change, policy, legal issues and dealing with the digitalization wave. Regarding the strategies for small/medium utilities, it became clear that the digitalization is the tool for their transformation. Therefore, it represents a wonderful opportunity to change organizations, roles and processes. GIS, SCADA AND/OR IOT are key points for quick wins and early digital adoption in water utilities, as well as, there is no AI without good quality data. It was also a common issue that the water business is one of the most ancient in the world, for example the Romans sold water, so since then, it is a very conservative sector, which has too much resistance to integrate new technologies. Anyway, here is BGEO to help the water utilities' sector to overcome the upcoming challenges.

𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 (𝐀𝐈) 𝐢𝐧 𝐄𝐧𝐞𝐫𝐠𝐲 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐑𝐞𝐩𝐨𝐫𝐭 𝟐𝟎𝟐𝟒-𝟐𝟎𝟑𝟐 - 𝐒𝐚𝐧 𝐆𝐥𝐨𝐛𝐚𝐥 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐓𝐨 𝐊𝐧𝐨𝐰 𝐭𝐡𝐞 𝐆𝐥𝐨𝐛𝐚𝐥 𝐒𝐜𝐨𝐩𝐞 𝐚𝐧𝐝 𝐃𝐞𝐦𝐚𝐧𝐝 𝐨𝐟 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 (𝐀𝐈) 𝐢𝐧 𝐄𝐧𝐞𝐫𝐠𝐲 𝐌𝐚𝐫𝐤𝐞𝐭. 𝐑𝐞𝐪𝐮𝐞𝐬𝐭 𝐟𝐨𝐫 𝐒𝐚𝐦𝐩𝐥𝐞 𝐏𝐃𝐅: https://lnkd.in/dHwM4JZH As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduce polices and increase capital investment to support AI companies. The San Global Research report includes an overview of the development of #Artificial Intelligence (AI) in the Energy industry chain, the market status of the Power Industry (Generation, Transmission, Distribution) (Services, Hardware), Oil & Gas Industry (Upstream, Midstream, Downstream) (Services, Hardware), and key enterprises in developed and developing market, and analyzed the cutting-edge technology, patent, hot applications and market trends of Artificial Intelligence (AI) in #Energy. *𝗕𝘆 𝗧𝘆𝗽𝗲: Services, Hardware, Software *𝗕𝘆 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Power Industry (Generation, Transmission, Distribution), Oil & Gas Industry (Upstream, Midstream, Downstream) *𝗕𝘆 𝗥𝗲𝗴𝗶𝗼𝗻𝘀: North America, Europe, Asia-Pacific, South America, Middle East & Africa *𝗕𝘆 𝗞𝗲𝘆 𝗣𝗹𝗮𝘆𝗲𝗿𝘀: IBM, ABB, Cisco, GE, HCLTech, Intel Corporation, Huawei, AutoGrid, Next Kraftwerke, State Grid Corporation of China #AIinEnergy #EnergyMarket #ArtificialIntelligence #RenewableEnergy #SmartGrid #EnergyEfficiency #DigitalTransformation #EnergyManagement #CleanEnergy #Sustainability #IoTinEnergy #GreenTech #Innovation #SmartCities #TechTrends

🌊 The Future of Water Operations: Data, Automation, and AI 🌟 In the world of water management, staying ahead means embracing innovation. From real-time data collection to predictive AI-powered tools, technology is reshaping how we ensure water quality and system efficiency. 💡 In my latest blog, I dive into: ✅ How IoT sensors are transforming data collection. ✅ The role of automation in streamlining operations. ✅ Why AI is the next frontier for predictive maintenance and operational optimization. Whether you're managing a private estate, a winery, or a large-scale operation, these advancements aren’t just optional—they’re the key to smarter, more sustainable systems. 🔗 Read the full blog here: https://lnkd.in/gUgMsBzF Let’s discuss! How is your operation using technology to improve efficiency and compliance? Comment below or send me a message—I’d love to hear your thoughts! #WaterManagement #Automation #AI #DataInnovation #Sustainability #BCGWater

𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 (𝐀𝐈) 𝐢𝐧 𝐄𝐧𝐞𝐫𝐠𝐲 𝐌𝐚𝐫𝐤𝐞𝐭 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐑𝐞𝐩𝐨𝐫𝐭 𝟐𝟎𝟐𝟒-𝟐𝟎𝟑𝟐 - 𝐒𝐚𝐧 𝐆𝐥𝐨𝐛𝐚𝐥 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐓𝐨 𝐊𝐧𝐨𝐰 𝐭𝐡𝐞 𝐆𝐥𝐨𝐛𝐚𝐥 𝐒𝐜𝐨𝐩𝐞 𝐚𝐧𝐝 𝐃𝐞𝐦𝐚𝐧𝐝 𝐨𝐟 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 (𝐀𝐈) 𝐢𝐧 𝐄𝐧𝐞𝐫𝐠𝐲 𝐌𝐚𝐫𝐤𝐞𝐭. 𝐑𝐞𝐪𝐮𝐞𝐬𝐭 𝐟𝐨𝐫 𝐒𝐚𝐦𝐩𝐥𝐞 𝐏𝐃𝐅: https://lnkd.in/eJZ6u7XX As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduce polices and increase capital investment to support #AI companies. The San Global Research report includes an overview of the development of Artificial Intelligence (AI) in the #Energy industry chain, the market status of the Power Industry (Generation, Transmission, Distribution) (Services, Hardware), Oil & Gas Industry (Upstream, Midstream, Downstream) (Services, Hardware), and key enterprises in developed and developing market, and analyzed the cutting-edge technology, patent, hot applications and market trends of Artificial #Intelligence (AI) in Energy. *𝗕𝘆 𝗧𝘆𝗽𝗲: Services, Hardware, Software *𝗕𝘆 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Power Industry (Generation, Transmission, Distribution), Oil & Gas Industry (Upstream, Midstream, Downstream) *𝗕𝘆 𝗥𝗲𝗴𝗶𝗼𝗻𝘀: North America, Europe, Asia-Pacific, South America, Middle East & Africa *𝗕𝘆 𝗞𝗲𝘆 𝗣𝗹𝗮𝘆𝗲𝗿𝘀: IBM, ABB, Cisco, GE, HCLTech, Intel Corporation, Huawei, AutoGrid, Next Kraftwerke, SE, State Grid Corporation of China #AIinEnergy #EnergyMarket #ArtificialIntelligence #RenewableEnergy #SmartGrid #EnergyEfficiency #DigitalTransformation #EnergyManagement #CleanEnergy #Sustainability #IoTinEnergy #GreenTech #Innovation #SmartCities #TechTrends

Optimizing Operations with Digital Twin in Oil and Gas: Use Cases, Benefits, Challenges, Solutions, and More by Saurabh Singh via Appinventiv ([Global] Security Breach) URL: https://ift.tt/Zm0uvbS Over the years, the oil and gas industry has found itself at the core of dynamic changes. While events like the COVID-19 pandemic and the Russia-Ukraine war have asserted atypical pressures, technological advancements such as Big Data, IoT, and AI have boosted productivity in the oil and gas sector. As the sector is set to reach a market value of $7,652.82 billion by the end of 2024, the gradual adaptation of emerging technologies like digital twin in oil and gas will further catalyse the growth of said industry! Digital twin technology can be perceived as a dynamic and visual representation of a physical asset or system created with real-time data. Be it healthcare, supply chain, or retail, the business applications of digital twin technology are numerous, and the oil and gas sector is no exception. Digital twin technology in oil and gas has enabled massive transformation, granting the ease of remote monitoring and control to cost reduction and enhanced safety. Let’s delve deeper to decode the role of the digital twin in oil and gas along with its enormous implementations across the industry! Digital Twin Technology in Oil and Gas Industry – Key Benefits Initially leveraged by NASA to prepare space missions, digital twin technology has readily found profound applications in the oil and gas industry. In fact, by 2032, the global digital twin implementation in the oil and gas market is expected to attain a valuation of $912.1 million. By integrating real-time operational data and advanced algorithms into a comprehensive digital model, digital twins allow you to predict future behavior accurately. However, this is just one small example of the many solutions it brings to the technology challenges in the oil and gas industry. Others include, Safety and Emergency Preparedness Safety is a major concern of the oil and gas industry, and digital twins help to enhance this component in multiple ways. For example, by integrating this advanced technology into the oil and gas industry, businesses can simulate various dangerous scenarios in a risk-free environment, thereby facilitating employee training. The team members can learn new skills and know how to respond to safety emergencies without having to risk their lives repetitively during such training sessions. Reduced Labor and Engineering Costs During Field Development One of the major benefits of digital twin technology in the oil and gas industry is that it saves significant time, which otherwise would have been spent on field development. By integrating it with machine learning and high-level data analytics, you can create virtual models of oil and gas reservoirs. Furthermore, with the help of real-time sensor data, the digital twin can accurately estimate the yield potential of the re...

Exploring the Intersection of AI, Cybersecurity, and District Energy When most people in the district energy space start talking about “AI”, the discussion inevitably just focuses on energy solutions for data centers. But there’s way more to talk about with AI and district energy. The elementary solution gets AI power, the deeper solution uses AI to improve district energy after getting it power. Here’s how I think that looks: AI and Optimization AI offers tremendous opportunities to optimize district energy systems. With predictive analytics, AI can balance supply and demand in real-time, maximizing energy efficiency and minimizing costs. AI-driven algorithms also enable smarter load aggregation, helping to anticipate peak demands and reduce emissions. Furthermore, machine learning models can proactively identify equipment inefficiencies and forecast maintenance needs, reducing downtime and ensuring consistent service to customers. Cybersecurity: The New Priority However, as district energy systems become more digital and connected, they also become more vulnerable to cyber threats. SCADA systems, IoT devices, and data historians, which are essential for system monitoring and control, are prime targets for malicious actors. A breach could disrupt operations, jeopardize customer trust, and cause significant financial losses. To mitigate these risks, cybersecurity must be embedded in the design of district energy systems. This includes employing advanced encryption, regular penetration testing, and multi-layered defenses. AI also plays a role here—machine learning algorithms can detect unusual activity in real time, flagging potential intrusions before they escalate. The Synergy of AI and Cybersecurity in District Energy The interplay between AI and cybersecurity is where the true potential lies. By leveraging AI, district energy providers can monitor network traffic, identify vulnerabilities, and adapt to emerging threats faster than ever before. AI enhances cybersecurity efforts, while robust cybersecurity ensures that AI-driven optimizations operate in a safe and controlled environment. The Path Forward As district energy systems continue to expand and integrate with broader smart city initiatives, the interplay of AI and cybersecurity will define the next generation of energy infrastructure. By embracing innovation while prioritizing security, district energy operators can deliver sustainable, reliable, and secure energy solutions for the communities they serve. At the heart of this transformation is a commitment to collaboration—between energy providers, technology developers, and regulators—to ensure these systems are not just advanced but resilient. I’d love to hear your thoughts: How do you see AI and cybersecurity shaping the future of district energy? Let’s discuss!

Optimizing Operations with Digital Twin in Oil and Gas: Use Cases, Benefits, Challenges, Solutions, and More by Saurabh Singh via Appinventiv ([Global] Data Breach) URL: https://ift.tt/Zm0uvbS Over the years, the oil and gas industry has found itself at the core of dynamic changes. While events like the COVID-19 pandemic and the Russia-Ukraine war have asserted atypical pressures, technological advancements such as Big Data, IoT, and AI have boosted productivity in the oil and gas sector. As the sector is set to reach a market value of $7,652.82 billion by the end of 2024, the gradual adaptation of emerging technologies like digital twin in oil and gas will further catalyse the growth of said industry! Digital twin technology can be perceived as a dynamic and visual representation of a physical asset or system created with real-time data. Be it healthcare, supply chain, or retail, the business applications of digital twin technology are numerous, and the oil and gas sector is no exception. Digital twin technology in oil and gas has enabled massive transformation, granting the ease of remote monitoring and control to cost reduction and enhanced safety. Let’s delve deeper to decode the role of the digital twin in oil and gas along with its enormous implementations across the industry! Digital Twin Technology in Oil and Gas Industry – Key Benefits Initially leveraged by NASA to prepare space missions, digital twin technology has readily found profound applications in the oil and gas industry. In fact, by 2032, the global digital twin implementation in the oil and gas market is expected to attain a valuation of $912.1 million. By integrating real-time operational data and advanced algorithms into a comprehensive digital model, digital twins allow you to predict future behavior accurately. However, this is just one small example of the many solutions it brings to the technology challenges in the oil and gas industry. Others include, Safety and Emergency Preparedness Safety is a major concern of the oil and gas industry, and digital twins help to enhance this component in multiple ways. For example, by integrating this advanced technology into the oil and gas industry, businesses can simulate various dangerous scenarios in a risk-free environment, thereby facilitating employee training. The team members can learn new skills and know how to respond to safety emergencies without having to risk their lives repetitively during such training sessions. Reduced Labor and Engineering Costs During Field Development One of the major benefits of digital twin technology in the oil and gas industry is that it saves significant time, which otherwise would have been spent on field development. By integrating it with machine learning and high-level data analytics, you can create virtual models of oil and gas reservoirs. Furthermore, with the help of real-time sensor data, the digital twin can accurately estimate the yield potential of the reserv...

𝗜𝗺𝗺𝗲𝗿𝘀𝗶𝗼𝗻 𝗖𝗼𝗼𝗹𝗶𝗻𝗴 𝗦𝘆𝘀𝘁𝗲𝗺𝘀: 𝗔𝗱𝘃𝗮𝗻𝗰𝗶𝗻𝗴 𝗘𝗻𝗲𝗿𝗴𝘆 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗖𝗲𝗻𝘁𝗲𝗿𝘀 The immersion cooling market is experiencing rapid growth as data centers adopt more efficient cooling solutions to handle escalating heat from high-performance computing. Projected to increase from USD 0.4 billion in 2023 to USD 2.1 billion by 2031, this market is set to grow at a CAGR of 24.1% during this period. 𝑹𝒆𝒒𝒖𝒆𝒔𝒕 𝑭𝒓𝒆𝒆 𝑺𝒂𝒎𝒑𝒍𝒆 𝑷𝒂𝒈𝒆👉 https://lnkd.in/dXm-9nJE Key points shaping this market include: ➥ Enhanced Cooling Efficiency: Immersion cooling submerges IT hardware directly into a dielectric liquid, significantly improving thermal management efficiency compared to traditional air cooling methods. ➥ Rising Demand in Data Centers: With the proliferation of data-intensive applications such as AI, machine learning, and blockchain, data centers require innovative cooling technologies to maintain optimal operating conditions and minimize energy consumption. ➥ Cost Savings and Sustainability: Immersion cooling reduces energy costs by eliminating the need for air conditioning units and improves the longevity of hardware components. It also aligns with sustainability goals by reducing carbon footprints. ➥ Technological Advancements: Continuous innovations in immersion cooling solutions, including different types of dielectric fluids and system designs, are driving market growth and adoption across various industries. ➥ Market Expansion: North America and Europe lead in adoption, propelled by the presence of large data centers and stringent regulations promoting energy efficiency. Asia-Pacific is emerging as a significant market due to increasing data center investments. ➥Top Manufactures: The key players in immersion cooling market are LiquidStack (Netherlands), Green Revolution Cooling Inc (US), Submer (Spain), Iceotope Technologies Limited (US), DCX - The Liquid Cooling Company (Poland), Engineered Fluids. Inc. (US), TIEMMERS (Netherlands), TMGcore, Inc. (US), GIGABYTE Technology (Taiwan), Wiwynn (Taiwan), Hypertec Group (Canada), TAS (US), Delta Power and System (Taiwan) and others.