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Energy Transformation

Energy Transformation

By: Siemens Digital Industries Software
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by Siemens Digital Industries SoftwareSiemens Digital Industries Software
Episodes
  • Harnessing the Power of Enterprise Knowledge Graphs for AI and Analytics
    Oct 15 2025
    This episode features Siemens veterans John Nixon and Bill Hahn, along with Ben Szekely coming from the Altair family (now part of Siemens). They discuss how Altair's RapidMiner platform fits into Siemens' portfolio and the broader AI and data ecosystem. Key points: RapidMiner provides a low-code platform for machine learning and data analytics, helping a wide range of users deploy AI models quickly. RapidMiner also includes enterprise knowledge graph capabilities, which allow companies to integrate and contextualize diverse data sources without having to move all the data into a centralized platform. The knowledge graph creates a virtual "blanket" over a company's existing data systems, automatically mapping relationships between data points from different sources (e.g. linking maintenance records to asset performance data). This contextualized data provides a stronger foundation for AI models, which tend to perform better with rich, interconnected data versus just accessing a data lake. RapidMiner enables faster time-to-value compared to traditional approaches of manually integrating data or building a monolithic data warehouse. A key use case is in maintenance and operations, where RapidMiner can quickly pull together all relevant data about an asset (from manuals to sensor data) to empower field technicians and engineers. Overall, the discussion highlights how RapidMiner's capabilities around data integration, knowledge graphs, and low-code AI can help Siemens customers accelerate their digital transformation and get more value from their existing data and systems.
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    24 mins
  • The Resurgence of Nuclear Energy - Part 2
    Mar 13 2025
    In part 2 of our Nuclear Energy Series, our panel delves into the critical role of supply chain management, data orchestration, and digital twins in shaping the future of nuclear power. The conversation highlights how these innovations are not only enhancing the safety and reliability of nuclear operations but also unlocking new possibilities for optimization and predictive maintenance. Key highlights of the discussion include: Digitalization and data orchestration are crucial to enable a "nuclear renaissance" Digital twins and advanced analytics (AI, ML, physics-informed models) enable: Simulation of "what-if" scenarios to predict and prevent failures Informed, real-time predictions of asset degradation and maintenance needs New nuclear reactor designs are prioritizing maintainability and serviceability to address historical challenges Reduced order models and edge computing are empowering near real-time simulation and decision-making for operators Collaboration between nuclear operators, regulators, and technology providers is crucial to accelerate the adoption of these transformative digital capabilities
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    17 mins
  • From the Classroom to the Field: Empowering the Next Generation of Engineers
    Feb 14 2025
    In this episode, Dora Smith and John Nixon of Siemens discuss the critical trends and challenges in academia and workforce development, particularly in the energy, chemicals, and infrastructure sectors. Our guests highlight several key challenges facing these industries: The rapid growth of digital technologies like AI, machine learning, and the industrial metaverse is creating a major skills gap. Workers need to develop “digital fluency” to leverage these new tools effectively. There is a significant labor shortage, with high demand for skilled workers in fields like welding, pipefitting, and data center operations to support growing energy needs. Traditionally, academia has struggled to keep curricula at pace with industry needs. However, this is starting to change, with 60% of universities now looking to supplement degrees with industry-created micro-credentials. Dora and John also explain how micro-credentials can play a vital role in bridging this skills gap. These bite-sized, industry-recognized certifications allow for more agile, targeted upskilling than traditional 4-year degrees. Micro-credentials can be integrated into degree programs, creating clear pathways for students. We also learn how Siemens is developing internal micro-credential programs to upskill their own workforce. This helps ensure workers have the necessary digital skills and to leverage emerging technologies in the field.
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    20 mins
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