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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
Boris Scharinger - Senior Innovation Manager at CTO Office of Siemens Digital Industries
https://www.youtube.com/
Dinis Guarda
4mo
Industry 4.0 represents the convergence of digital and physical systems to create smart factories. In this interview Boris Scharinger emphasises the importance of connectivity and collaboration in this evolution and highlights How Siemens is shaping a smart future with Industrial-grade AI? . “Having a joint approach between digital industries and smart infrastructure and building a strong solution is what really sets us apart. One important part is that we have built, for example, our industrial operations, X platform that kind of comes from the top from the software side of things. It combines AI applications. It also combines a low code development platform, because what our customers want is not just an AI product out of the box, they want a product that fits their own needs, that fits their own purpose, that can be customised. So building an industrial operations X platform that is able to combine AI and low code and those kinds of things, I think is an important building block of our strategy”. More here https://www.intelligenthq.com/the-need-for-making-ai-industrial-grade-boris-scharinger-ai-strategist-at-siemens-digital-industries-with-dinis-guarda-at-ai-with-purpose-summit-2024/
Pallavi Singal
4mo
Predictive maintenance, leveraged by AI is simply amazing. As Boris explains: “There is a lot of potential in the area of predictive maintenance. Because, by, having a strong data ingestion process, by having good data coming from the shop floor, being fed into your system. By having the right data, ingesting the right data, by combining a strong foundation and physics understanding of shop floor equipment and automation systems and now blending that together with AI technology, predictive maintenance is an area which is extremely important for us.” Thank you for wonderful insights shared in this interview Boris Scharinger How does Siemens ensure the quality and accuracy of data used in predictive maintenance systems? https://www.intelligenthq.com/the-need-for-making-ai-industrial-grade-boris-scharinger-ai-strategist-at-siemens-digital-industries-with-dinis-guarda-at-ai-with-purpose-summit-2024/
Jasmeen Dugal
2mo
What an insightful conversation Dinis Guarda Boris Scharinger’s expertise and vision in steering Siemens’ journey are truly inspiring. His perspective on the evolving role of industrial AI, especially the emphasis on achieving near-perfect reliability in production processes, highlights the distinct challenges and opportunities in this space. I particularly appreciate the discussion on balancing technology's transformative potential with ethical and compliance considerations. Such thought leadership is crucial as we navigate the complexities of #AI and digital transformation 🌟🚀 #Innovation #IndustrialAI #Industry40
Shikha Negi
4mo
It’s inspiring to see how Siemens continues to lead in innovation with technologies like Industrial AI, digital twins, and the metaverse enterprise.
The discussion on industrial AI was particularly eye opening, highlighting how crucial robust reliability is in industrial applications. As Boris Scharinger pointed out, while consumer AI can tolerate some imperfections, industrial AI demands near perfection to ensure seamless, 24/7 operation. It’s clear that Siemens is at the forefront of turning groundbreaking ideas into reliable, transformative technologies. Such an insightful post Dinis Guarda !
Dilip Pungliya
4mo
It's an amazing and thought-provoking discussion. It's important to consider how innovation drives the future. Amazing Dinis Guarda and Boris Scharinger
🚀💡 Truly inspiring insights, Dinis and Boris! It's incredible to see how Siemens continues to innovate and shape the future of industry with such a rich history of technological advancements. The emphasis on robust and reliable industrial AI is particularly compelling, showcasing the real impact of digital transformation on business and society. 🌍🤖 #Innovation #DigitalTransformation #IndustrialAI
Luis Almeida
4mo
Fantastic work Dinis Guarda that you are doing in the world, creating impact and transforming with knowledge and literacy. Keep rocking 💥
Author Founder Creator Youtuber Podcast citiesabc.com businessabc.net wisdomia.ai AI.DNA sportsabc.org fashionabc intelligentHQ Keynote SpeakerTop1/10 #AI #Blockchain #Fintech #SmartCities #wellness VR AR ztudium techabc
4moHow is Siemens shaping a smart future with Industrial-grade AI? Industry 4.0 represents the convergence of digital and physical systems. Boris Scharinger emphasises the importance of connectivity and collaboration: “Having a joint approach between digital industries and smart infrastructure and building a strong solution is what really sets us apart. One important part is that we have built, for example, our industrial operations, X platform that kind of comes from the top from the software side of things. It combines AI applications. It also combines a low code development platform, because what our customers want is not just an AI product out of the box, they want a product that fits their own needs, that fits their own purpose, that can be customised. So building an industrial operations X platform that is able to combine AI and low code and those kinds of things, I think is an important building block of our strategy”. Boris Scharinger envisions a future where AI continues to drive efficiency and sustainability in industrial processes. He believes that collaboration and continuous learning are key to staying at the forefront of tech innovation. More about Boris Scharinger https://businessabc.net/wiki/boris-scharinger