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🌟 Absolutely fascinating discussion! 🌟 As we venture deeper into the realms of digital twins and the industrial metaverse, it's incredible to see how these technologies can transform our industries and lives. 🚀 The convergence of AI and simulation opens up endless possibilities for optimizing resources and innovating efficiently. Let's embrace this future together! 💡🌐 #InnovationForHumanity #DigitalRevolution #FutureTech #AIIntegration

I recently had the privilege of sitting down with Boris Scharinger, the Senior Innovation Manager and Technology Strategist in the CTO Office at Siemens. In our conversation, Boris discussed his ideas, profile and how Siemens’ 175 years history that has turned great inventions into innovative technologies and the impressive scale of employees and its unwavering focus on #trends and continuous #innovation. We delved into #Industry4.0, #digitaltwins, the concept and practicalities of #metaverseenterprise, and #industrialAI. Boris highlighted the powerful impact of industrial AI Grade and its transformation in business and society: “The digital transformation of industry and AI is a strong tool. When I look into AI today, then AI is actually designed and shaped a lot from the consumer space, from the search engines, and from the social media platforms of this word. And in these environments, you can allow for a certain level rate. Yeah, in many cases 90% is good enough. However, in an industrial production process, I cannot have a robot that works in 90% of the cases. I need to have a robotic solution gripping something, for example, and putting it somewhere on a conveyor belt that really must work for me, 24 by seven must work 99.9%, and for example, it must be able to process a thousand picks per hour. Now these industrial tasks require robust reliability. This is what’s essential for industrial AI. Industrial AI, in a sense, is the application field. It’s the application of AI in industrial use cases, our quality ambition. So, AI meets the tough requirements that you have in industrial processes.“ My Questions: 00:00 - 04:00 Introduction 04:01 - 07:20 Background and career journey of Boris 07:21 - 09:25 Bridging technology and academia 09:26 - 12:09 Innovation in technologies like AI 12:10 - 14:58 Technology as a layer between corporate, government, and academic 14:59 - 21:28 How is Siemens innovating in the field of Industrial AI? 21:29 - 26:42 Digital twin and metaverse enterprise 26:43 - 33:52 Innovating towards a sustainable Generative AI 33:53 - 39:48 Mitigating the threats posed by Generative AI 39:49 - 46:10 How do we address the ethical and compliance concerns that arise from AI? 46:11 - 48:16 Technology for a sustainable future of humanity 48:17 - 49:59 How can we know about Siemens work and innovation? more on my youtube podcast show https://lnkd.in/eDsBT7Pu CC Antonio Vieira Santos Antonio Grasso João António Vaz Luis Almeida Sally Eaves Thomas Power Dr Mark van Rijmenam, CSP Dr. Annette Doms Dr. Martha Boeckenfeld Dr Ritesh Jain Prof. Dr. Ingrid Vasiliu-Feltes Helene Li Dilip Pungliya Sonesh Sira Peyman Khosravani Xiaochen Z. Xavier Gomez Kevin O'Donovan Dr. Ralph-Christian Ohr Pallavi Singal Tony Moroney Efi Pylarinou Jasmeen Dugal Elise Quevedo Eveline Ruehlin Dr. Khulood Almani🇸🇦 د.خلود المانع 🚀 Ellen Schramke Huyen Ngo Khanh An Le Ha N. Gonçalo Pratas Pereira Ricardo Tomaz Manan Kothari

As #generativeai becomes increasingly adopted within business, its environmental impact cannot be ignored. However, there are some practices which can mitigate its growing footprint – such as utilising foundation models, optimising data processing locations, investing in energy-efficient processors, and leveraging open-source collaborations. These strategies not only reduce AI’s environmental footprint but also enhance operational efficiency and cost-effectiveness, balancing innovation with sustainability. https://lnkd.in/gUt6c7tK

Blog Post #10(Management) Emerging Technologies to Watch in 2024: Shaping the Future of a Smart World by Dr. Kiran Kakade #kirankakadeblog #kirankakade #technology #smarttechnologies #Sustainable

Moving from industry titans like ABB, Eaton, and Schneider Electric to working with CX, digital change, and AI has been a big shift. Last week's Schneider Electric Innovation Summit in Paris was a vivid reflection of the transformative power of technology. Yet, it also marked a moment of personal transition as I move deeper into the world of CX and digital innovation Assist Digital. In my past jobs, I helped make products that power our world. Now, I'm working on how companies talk to their customers using digital tools and AI. This change is big. It's about using new tech to solve old problems in new ways. Going from making power solutions to improving how we all connect with companies shows one thing: innovation is important everywhere. It's about trying new things, no matter where you are. Here's to the future of digital and AI, making every challenge a chance to do something great. And last, but not least, it was good to see some old colleagues and friends. #friendship #DigitalFuture #AI #NewBeginnings https://lnkd.in/e-5kE_z7

🌟 Celebrating Innovation in AI Infrastructure: Firmus Technologies' Breakthrough! 🌟 Singapore-based Firmus Technologies has set a new benchmark in AI infrastructure, clinching the Asia Pacific Data Centre Project of the Year award for their remarkable AI Factory facility. This recognition underscores the innovation and meticulous focus on sustainability that are critical to meeting the expanding demands of AI computing. 🏆🌱 What makes Firmus’s AI Factory stand out? - **Advanced Infrastructure**: Built on cutting-edge technology, it supports vast computing requirements while ensuring top-notch performance. - **Energy Efficiency**: Committed to sustainable practices, the facility integrates energy-efficient solutions, reflecting a conscious effort towards a greener future. Why does this matter to the world of AI? The escalating need for AI-driven solutions across industries has put data centers at the heart of this transformation. As we glide into more AI-reliant futures, maintaining eco-friendly practices and robust infrastructures is paramount to sustaining technological progress without compromising our environment. 🌐 **Prediction & Industry Insights**: 1. **Increased Adoption of Sustainable Data Centers**: More companies will prioritize energy-efficient models to align with global ecological goals. 2. **Tech Evolution**: Continued innovations will drive further sophistication of infrastructure dedicated to handling complex AI operations. 3. **Strategic Collaborations**: Collaborations with tech partners focused on sustainability will likely become increasingly common. Firmus’s achievement doesn’t just symbolize an award-winning project; it sets a precedent for other companies to follow by adopting responsible and innovative approaches in their AI strategies. 🌟 Let’s not only focus on rapid technological advancements but also commit to sustainable and ethical growth. Kudos to Firmus for being a torchbearer in balancing technology with responsibility! 🌍 #AINews #FirmusTechnologies #DataCenterInnovation #SustainabilityInTech #TechLeadership #AIProgress #EcologicalResponsibility

As artificial intelligence (AI) becomes increasingly ubiquitous in business and governance, its substantial environmental impact — from significant increases in energy and water usage to heightened carbon emissions — cannot be ignored. By 2030, AI’s power demand is expected to rise by 160%. However, adopting more sustainable practices, such as utilizing foundation models, optimizing data processing locations, investing in energy-efficient processors, and leveraging open-source collaborations, can help mitigate these effects. These strategies not only reduce AI’s environmental footprint but also enhance operational efficiency and cost-effectiveness, balancing innovation with sustainability.

🌟 Just attended the Innovation Roundtable and I’m feeling inspired! 🌟 I had the opportunity to join a fantastic group of innovators and thought leaders, discussing key challenges and opportunities in AI adoption, personalized healthcare, and strategic innovation. A special thank you to Vittorio Pennazio for organizing such a well-executed event and for inviting me to ask a question during the session—an experience I truly valued. A key takeaway for me was understanding the profound impact AI tools can have on job satisfaction and motivation, alongside the significant challenges that remain in AI adoption. Despite our progression from symbolic AI—the "grandparent" of the 1970s—to machine learning, the "teenager" phase, and now to generative AI, which represents the pinnacle of human-like intellect and innovation, many organizations still face hurdles. In particular, the dominance of "data gurus" over the democratization of AI remains a challenge to widespread adoption and inclusive use. Kudos to all the speakers and participants for their valuable insights, especially Mario Lois for sharing GE HealthCare’s innovative approach to integrating AI in healthcare solutions and Cristina Gurguta for her work in driving AI literacy at Holcim. I look forward to staying connected and continuing the conversation! #Innovation #AI #Healthcare #StrategicLeadership https://lnkd.in/eeHWeKRK

🌱 Transforming Companies with Sustainability and Technology 🌐 Miguel Salgueiro, CBO and Partner at Nextbitt, shares with elEconomista how we help organizations become more sustainable. From the healthcare sector to banking, our technological solutions, such as energy and environmental management, are driving savings, operational efficiency, and carbon footprint reduction. 💡 Highlights: - Use of AI to predict failures and optimize processes. - Energy consumption reductions between 5% and 10%. - Success stories with BPI CaixaBank and Diaverum. - Real-time data focus for smart decision-making. 📊 Our goal in Spain: 100 clients and €5M in revenue in the medium term. 👉 Read more about our vision: https://lnkd.in/dxbav9x #Sustainability #Technology #AI #AssetManagement

Wondering what are the 2025 predictions for technology? In a feature on Frontier Enterprise, Anu Rathninde, President of Asia Pacific, shared powerful insights on how AI continues to revolutionise the path to net-zero. 💡 Smarter decisions, greener outcomes: AI empowers buildings owners like data centres and airports to optimise energy & resource use ♻️ Sustainability x digital transformation: Enterprises are prioritising energy-efficient AI infrastructures to reduce e-waste and curb environmental impact. 📊 From pilot to powerhouse: The future will see a shift from experimenting with AI to embedding it into daily operations At Johnson Controls, we don’t just imagine a better future—we’re actively building it. 👉 Dive into the full article here: https://lnkd.in/gcCiKWFX