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.

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

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.

In this episode, our panel of experts shed light on exciting developments and challenges within nuclear energy. Nuclear energy is increasingly recognized as vital for ensuring energy security and stability. The growing energy demand from Artificial Intelligence (AI) and data centers drives the need to accelerate nuclear plant design and deployment. Our guests highlight the complexities behind large-scale nuclear projects and the imperative to bring advanced reactor technologies to the grid. Featured Guest – Emilio Baglietto, Associate Department Head and Professor of Nuclear Science and Engineering at MIT. AI and the growth of data centers are reshaping the energy sector. By 2030-2035, data centers are projected to consume 9% of US energy. This surge in demand suggests a reevaluation of how nuclear facilities are designed and constructed. Traditionally, facility construction spans 7-10 years, a timeline that must be accelerated to meet the rapid pace of innovation. What You’ll Learn in this Episode: AI and data centers – the new drivers of nuclear demand Challenges with past nuclear projects Is a nuclear renaissance ahead? Digitalization – the engine to redesign nuclear projects, manage lifecycles, and foster better collaboration with the supply chain Use of technology to meet safety requirements, ensure timely project completion and reduce rework The need for nuclear facilities to accelerate their design processes to meet capacity demands Connect with Emilio Baglietto:  LinkedIn Connect with John Nixon:  LinkedIn Connect with Greg Elliot: LinkedIn Connect with Matt McCullum:  LinkedIn

Businesses, especially those with frontline workers, can reap substantial benefits from integrating augmented reality into their daily operations. This integration leads to remarkable gains in efficiency, enhanced productivity, and greater safety for workers.  Today, Brendan Conley is joined by Alfredo Patron, Jason Hawker from TeamViewer, and John Nixon from Siemens Digital Industries Software. They discuss the partnership between Siemens and TeamViewer, focusing on how digital transformation and augmented reality solutions impact industries globally, and how their partnership drives advancements in this field.  In this episode, you will gain valuable insights into the practicality and immediacy of these technologies and their successful adoption in critical operations worldwide, enabling significant improvements in various industry sectors.  What You’ll Learn in this Episode: Siemens and TeamViewer partnership and the evolution of augmented reality in various industries globally, including aerospace, and manufacturing (01:46) Leveraging AR and digital twins for efficient maintenance and inspections (4:03) The benefits of digital backbone and augmented reality solutions: greater efficiency, reduced downtime, and quick ROI (07:26) Leveraging technology for frontline workers (12:27) Connect with  Alfredo Patron: LinkedIn Connect with John Nixon:  LinkedIn Connect with Brendan Conley:  LinkedIn

The transformational journey in the energy sector, particularly technologies like the cloud, Internet of Things (IoT), and analytics, is changing the landscape causing an urgent need for digital transformation and efficiency in the energy sector. Failure to adapt and evolve could significantly delay the global transition to cleaner energy solutions, a delay the world cannot afford. Today, Brendan Conley is joined by Steve Boerman from SAP and John Nixon from Siemens. They will share a comprehensive look at how the blend of engineering and digital technologies sets the stage for a more efficient and adaptive future in the energy sector. In this episode, you will learn more about the urgent need for digital transformation and efficiency in the energy sector. You will also hear about the importance of learning from other industries like automotive manufacturing, where digital twin technologies and integrated data management have led to quicker and more efficient project deliveries. In addition, you will get an insight into the partnership between SAP and Siemens and its potential to be a game-changer in the energy sector. What You’ll Learn in this Episode: Current challenges and energy industry trends (1:15) Industrial and automotive manufacturing mindset. (4:41) Siemens and SAP partnership, offering a more integrated and seamless approach to managing the lifecycle of energy projects (8:02) Digital Thread Concept (12:44) Case studies showcasing the digital thread in action (15:09) Connect with John Nixon:  LinkedIn Connect with Steve Boerman: LinkedIn Connect with Brendan Conley:  LinkedIn

Over the years we have developed many new technologies that allow us to generate energy from a range of renewable and non-renewable sources, but each option comes with its own challenges. Ultimately, everything we do has an impact on the environment, and perhaps the future of the energy industry lies in a combination of energy sources. Today, Brendan Conley is joined by John Nixon, the Global Lead for Strategy and Energy Chemicals and Infrastructure, and John Lusty, the Portfolio Development Executive for Canada and ECI. They will discuss the optimism and excitement surrounding advancements in the energy industry, particularly in the areas of nuclear energy and digital technologies. In this episode, you will learn more about the importance of diversification, resilience, and reliability in ensuring energy security. You will also hear the significance of digital technologies, such as digital twins, in improving the efficiency of energy assets.  What You’ll Learn in this Episode: Energy security strategies from various geographies and regions (3:58) Nuclear fuel developments and small modular reactors (7:20) A nuclear renaissance ahead? (8:42) The challenges of diversifying energy (11:30) The future of the energy industry (13:05) Connect with John Nixon:  LinkedIn Connect with John Lusty:  LinkedIn Connect with Brendan Conley:  LinkedIn

As the energy industry continues to evolve, it is essential to leverage digital technologies to gain efficiencies, reduce risk, and become good stewards of resources. The Siemens and SAP partnership is an excellent example of how collaboration and innovation can drive value for customers and lay the foundation for a sustainable future. In this episode, Brendan Conley is joined by Steve Boerman from SAP and John Nixon from Siemens. They will provide valuable insights into the challenges faced by the energy industry and how the partnership between Siemens and SAP is addressing these challenges Today you will learn more about SAP and Siemens' relationship. You will also get to hear more about the importance of bringing engineering data and asset management together early in the process to improve project success and shorten turnaround times. Additionally, you will find out about the potential for a nuclear renaissance and the need to learn from past mistakes to do it right the first time.  What You’ll Learn in this Episode: The challenges in asset-intensive industries, such as chemicals, mining, and oil and gas (3:53) SAP’s capital asset lifecycle management program (4:52)  The challenges of the future: AI and machine learning  (8:54) What the future of the partnership between Siemens and SAP would look like (16:29) Connect with Steve Boerman: Linkedin Connect with John Nixon:  LinkedIn Connect with Brendan Conley:  LinkedIn

The shift towards sustainability, driven by digitalization and the adoption of ESG principles, is a significant global transformation that warrants further exploration and discussion. The impact of recent events, like the unexpected consequences for Silicon Valley Bank (SVB), has led to a shift in thinking around ESG and sustainability. With chemical sales expected to grow, process intensification and a focus on efficiency will be necessary to address issues around energy consumption and waste production. For this series' first episode, Brendan Conley is joined by John Nixon of Siemens Digital Industries Software and John Lusty, the Industry Lead for Energy & Utilities Industry Marketing at Siemens Digital Industries Software. They will discuss the good and the bad we have all seen around sustainability, and where they see opportunities for Siemens DISW to contribute.  Today you will learn more about the root problems with ESG (Environmental, Social, and Governance) and Silicon Valley Bank's fall. You will also learn how our species fundamentally transforms as we rethink how we generate, transport, store, and consume energy. Additionally, you will find out more about requirement management for ESG and see if it is the perfect starting point for this digitalization journey. What You’ll Learn in this Episode: The root problems with ESG (3:05) Why Measuring Traceability is a big challenge (10:30) Requirements management for ESG (12:56) How to make the requirement lifecycle better (18:20) Connect with John Nixon:  LinkedIn Connect with John Lusty:  LinkedIn Connect with Brendan Conley:  LinkedIn

The energy industry has lagged behind in terms of digitization for many decades now. The silver lining to this is that they can now learn and benefit from digitalization and system engineering approaches from other industries. This minimizes their digital migration risks because they can also bring in people who are already experienced to implement the new methodologies. In this fourth and last episode, John Nixon of Siemens Digital Industries Software is joined by John Lusty, the Industry Lead for Energy & Utilities Industry Marketing at Siemens Digital Industries Software. They’ll share with us the impact that a systems engineering approach is expected to have on the energy industry. Today, you’ll learn more about why the lack of proper management tools is a leading cause of delays and cost overruns in major capital projects. You’ll also learn about how a system engineering approach would transform the energy industry. Additionally, you’ll learn about why big energy companies are opting to bring in experienced leaders from other industries.  What You’ll Learn in this Episode: The challenges of system engineering in major projects (00:37) Why the energy industry should adopt a systems engineering approach (04:09) The shortcomings of a document-driven approach (06:41) What big companies are doing to learn more about systems engineering (10:34) Connect with John Nixon:  LinkedIn Connect with John Lusty:  LinkedIn Hosted on Acast. See acast.com/privacy for more information.

The need for custom software in the energy industry has drastically slowed down acquisitions of off-the-shelve software. Companies want solutions that can be used to build multiple custom applications fast and at a lower cost. They also want solutions that raise the team’s morale by simplifying automation and enabling the development of applications that are user-friendly. In this third of four episodes, John Nixon of Siemens Digital Industries Software is joined by John Lusty, the Industry Lead for Energy & Utilities Industry Marketing at Siemens Digital Industries Software. They’ll share with us the impact that low-code is having on data management within the energy industry. Today, you’ll learn more about how low-code is changing the world of software development in the energy industry. You’ll also learn about the best place to start when adopting it into your organization. Additionally, you’ll learn about Siemens’ low-code solution, Mendix, and the training required to get started. What You’ll Learn in this Episode: How low-code is impacting materials companies (01:57) The limitations of off-the-shelve software (03:43) How automation has changed data handling in the energy industry (05:16) Why field operations are the best place to start when deploying low-code applications (08:18) Connect with John Nixon:  LinkedIn Connect with John Lusty:  LinkedIn Hosted on Acast. See acast.com/privacy for more information.

In large projects, the number of individual requirements/specifications can be overwhelming when considered side-by-side with the design. It can easily lead to the design team accidentally skipping some of them as they are already dealing with a large amount of data. This challenge can be solved by integrating those requirements into the design tools to make sure that the product taking up your resources comes out as required. In this second of four episodes, John Nixon of Siemens Digital Industries Software is joined by John Lusty, the Industry Lead for Energy & Utilities Industry Marketing at Siemens Digital Industries Software. They’ll share with us how a requirements management approach can be applied in large projects within the energy industry. In this episode, you’ll learn about the challenge that comes with a large amount of complex data. You’ll also learn why it is important to adopt a requirements management approach while working on large projects with many requirements. Lastly, you’ll hear about the benefits that come with integrating the requirements with the design tools. What You’ll Learn in this Episode: The different sources of data in large energy projects (00:34) How a large amount of information affects processes (04:02) The benefits of adopting a requirements-driven approach in the energy industry (06:38) An example of a company that adopted the requirements management solution (11:30) Connect with John Nixon:  LinkedIn Connect with John Lusty:  LinkedIn Hosted on Acast. See acast.com/privacy for more information.

When you want to get maximum value from an asset, it's not enough to just design, build and install it. You need to also collect all the data showing its performance in operation as well as keep a record of any repairs and adjustments. Siemens Digital Lifecycle Excellence helps you do that by paving the road for efficient data collection, processing, and analysis from the design stage to the eventual decommissioning. In this first of four episodes, John Nixon of  Siemens Digital Industries Software is joined by John Lusty, the Industry Lead for Energy & Utilities Industry Marketing at Siemens Digital Industries Software. They have 55 years of combined experience in the energy and utility industry. Today, they’ll help us understand the need for continuous data collection from the design stage to the decommissioning point. In this episode, you will learn what Siemens Digital Lifecycle Excellence entails and the impact it is expected to have on the energy industry. You will also hear about the data management problem that Siemens Xcelerator solves. Additionally, you will learn about the benefits that the energy industry stands to gain from digitalizing. What You’ll Learn in this Episode: The eight segments within Siemens DISW’s energy and utility industry (02:20) What the digital lifecycle approach entails (03:51) The problems that Siemens Xcelerator solves (08:15) How a digitalized energy industry will help in attracting talent (16:23) Connect with John Nixon:  LinkedIn Connect with John Lusty:  LinkedIn Resources Xcelerator Hosted on Acast. See acast.com/privacy for more information.