Discover how leading engineers reimagine what is possible in aerospace. Dale Goulding interviews Justin Morigeau, president of AeroTEC, about the company's innovative approach to aerospace design and manufacturing. They discuss AeroTEC’s focus on electrification and hybrid technologies, and the company's commitment to leading the charge in aerospace innovation and digital transformation. Justin shares insights on project management techniques and the future of AI in engineering workflows.
Takeaways
AeroTEC is focused on accelerating the evolution of aerospace.
The company is innovating in electrification and hybrid technologies.
AI is being explored for automating engineering analysis and flight test data.
Improved workflows will lead to quicker decision-making in engineering.
Digital tools have significantly impacted project execution and collaboration.
Project planning modules enhance alignment across teams.
Real-time data access improves project management efficiency.
Simplifying complex processes is crucial for project success.
AI can automate administrative tasks for project managers.
Personal accountability and leadership are key to success.
Show links
Justin Morigeau’s LinkedIn: https://www.linkedin.com/in/justinmorigeau/
AeroTEC’s website: https://aerotec.com/
Follow and subscribe to The Applied Imperative Podcast on Apple, Spotify or YouTube: https://linktr.ee/appliedimperative
How will AI reshape our lives, our work, and our future? Dale Goulding interviews Brian Connolly, a lead machine learning engineer at Beehive Industries. They discuss a wide range of topics, including Brian's academic and career history, the current state and future of AI and machine learning, the importance of information consumption, and personal preparations for the future. The conversation highlights the transformative potential of AI technologies and their implications for society and the job market.
Takeaways
Brian Connolly has a diverse academic background in aerospace engineering.
AI and machine learning are becoming central to engineering and design processes.
Cross-functional collaboration is essential in modern engineering roles.
The future of AI holds both exciting possibilities and significant challenges.
Information consumption is crucial in navigating the AI landscape.
AI tools are improving but still have limitations and ethical considerations.
The convergence of technologies will reshape industries and economies.
Personal finance strategies should adapt to the evolving technological landscape.
AI's influence on market dynamics could lead to new forms of volatility.
Staying informed and connected with community is vital for future preparedness.
Show links
AI and immersive tech are redefining what CAD can do. Dale Goulding interviews George Rendell, VP of NX Design and Open Tools at Siemens Digital Industries Software, to discuss the evolution of CAD and the role of AI in product development. They explore how customer feedback and immersive technologies drive innovation. George shares insights on the skills needed for the next generation and the future of engineering.
Takeaways
NX is driven by customer needs and productivity.
AI is being integrated into CAD to enhance the user experience.
The role of CAD is evolving with technology advancements.
Siemens has been an early adopter of AI in CAD.
Customer feedback is crucial for product innovation.
Immersive engineering is transforming design processes.
The future of engineering will involve less manual work.
Young engineers need to focus on collaboration and communication.
AI can help reduce cognitive load for engineers.
The pace of feature delivery in CAD is accelerating.
Show links
George Rendell’s LinkedIn: https://www.linkedin.com/in/george-rendell-a289224/
Follow and subscribe to The Applied Imperative Podcast on Apple, Spotify or YouTube https://linktr.ee/appliedimperative
How is digital transformation accelerating innovation in aerospace? Dale Goulding interviews Todd Tuthill, VP of Aerospace, Defense, and Marine Industry at Siemens Digital Industries, about the five-step journey to digital transformation: configuration, connection, automation, generative design, and closed-loop processes. They discuss how AI and generative design are streamlining engineering, address the industry’s talent challenges, and highlight success stories like Northrop's Digital Pathfinder Project, which cut manufacturing time by 50%. Todd shares his perspective on the future of aerospace and the importance of community support in navigating challenges.
Takeaways
Digital transformation is essential for survival in aerospace.
There are more opportunities than people in the aerospace sector.
The five-step journey of digital transformation is crucial.
Generative design and AI will shape the future of engineering.
Companies can achieve significant savings through digital workflows.
Time to market is a critical factor in aerospace development.
Digital transformation applies to the entire lifecycle, not just design.
Community support is vital for companies on their transformation journey.
Automation can free up engineers to focus on more complex tasks.
Continuous improvement is necessary as technology evolves.
Show links
Todd Tuthill’s LinkedIn: https://www.linkedin.com/in/toddtuthill/
Follow and subscribe to The Applied Imperative Podcast on Apple, Spotify or YouTube https://linktr.ee/appliedimperative
Next-generation nuclear requires next-generation tools. Dale Goulding interviews John Nixon—vice president, global strategy, energy chemicals and infrastructure—and William Hahn—director solutions consulting—to explore the intersection of artificial intelligence, model-based systems engineering, and next-generation nuclear energy. They discuss the current state of the nuclear industry, the role of simulation in driving innovation, and lessons learned from the space sector. The conversation looks ahead to how AI and digital tools will transform energy infrastructure and technology.
Takeaways
We're experiencing a nuclear renaissance.
AI is now an expected part of the industry.
Data centers require gigawatts of power.
Model-based systems engineering is crucial for complex designs.
AI can significantly reduce engineering time.
Integration of systems is essential for efficiency.
Simulation helps eliminate rework in projects.
The future of energy transmission is changing.
AI will enable new advancements in engineering.
Power consumption will radically change in the coming years.
Show links
John Nixon’s LinkedIn: https://www.linkedin.com/in/johnnixon/
William Hahn’s LinkedIn: https://www.linkedin.com/in/william-hahn-iii/
Follow and subscribe to The Applied Imperative Podcast on Apple, Spotify or YouTube https://linktr.ee/appliedimperative
What happens when AI meets low-code? Dale Goulding interviews Ray Kok, CEO of Mendix, to discuss how AI is transforming software development. They explore how Mendix enables faster application development, the integration of AI, and the future of low-code in enterprise software. Ray also shares insights from his career at Siemens and the importance of collaboration between business and IT in digital transformation.
Takeaways
Low-code development is rapidly changing software creation.
Mendix allows for faster application development, enhancing business agility.
Integration with Siemens' ecosystem is crucial for leveraging data.
AI is being integrated into Mendix to further accelerate development.
The typical development speed with Mendix is six to eight times faster.
Business users can actively participate in the development process.
Mendix supports both low-code and traditional coding for flexibility.
The market for low-code is expected to grow significantly in the coming years.
Mendix is becoming a key player in enterprise application software.
The next generation will require intuitive tools for effective work.
Show links
Mendix website: https://www.mendix.com/
Ray Kok’s LinkedIn: https://www.linkedin.com/in/raymond-kok-8022578/
Follow and subscribe to The Applied Imperative Podcast on Apple, Spotify or YouTube https://linktr.ee/appliedimperative
How is AI transforming industrial software? Dale Goulding interviews Barry Chapman, vice president and general manager of US Industries at Siemens Digital Industries Software. They reflect on the energy of Siemens Realize LIVE, the impact of AI in industrial software, and the shift toward configuration-driven data management. Barry shares customer success stories and explains why rapid adaptation is critical in today’s evolving markets.
Takeaways
AI is a critical enabler for future industrial applications.
Configuration-driven data management is essential for effective AI integration.
Customer success stories highlight the transformative power of Siemens software.
The automotive industry is rapidly evolving with software-driven innovations.
Companies must be agile to adapt to market changes and consumer demands.
Understanding AI is crucial for leaders in the industry.
Positive energy in the industry reflects a shift towards innovation.
Mendix platform simplifies data access for users.
The ability to pivot quickly is vital for business success.
Show links
Barry Chapman’s LinkedIn https://www.linkedin.com/in/barry-chapman-1921391/
How will the incoming generation of tech-savvy engineers reshape the way we innovate? Dale Goulding interviews Del Costy, president and managing partner of Siemens Digital Industries Software and Automation for the Americas. They discuss Siemens’ ONE Tech Company initiative and explore how partnerships with Microsoft and Nvidia, advancements in AI, and a new generation of engineers are driving the future of innovation. Del offers guidance for rising engineers and reveals how Siemens is shaping the future alongside them.
Takeaways:
Del Costy emphasizes the importance of being excellent for customers.
The ONE Tech Company vision aims to harmonize various technologies for customer value.
Partnerships with hyperscalers like Microsoft and Nvidia are crucial for Siemens.
AI is seen as a powerful tool for innovation and design iteration.
The future of engineering involves immersive environments and rapid prototyping.
Young engineers should focus on curiosity, engagement, and respect in the workplace.
The expectation of the next generation workforce will shape future tools and processes.
Siemens is committed to sustainability and energy efficiency in its operations.
Human ingenuity remains a key driver of progress in engineering and manufacturing.
Show links:
Follow and subscribe to The Applied Imperative Podcast on Apple, Spotify or YouTube https://linktr.ee/appliedimperative
Summary
In this episode of the Applied Imperative podcast, Dale Goulding speaks with Prabha Jha, associate director for cyber strategy and risk at Verizon. They discuss the pervasive influence of AI across industries, insights from their experience at MIT's AI program, and the importance of prompt engineering and agentic AI. Prabha shares her journey in navigating remote learning, leveraging AI in business security, and the future of AI in telecommunications. They also explore the risks associated with AI, particularly in security, and the potential applications of AI in aerospace. The conversation concludes with personal insights and reflections on the role of art and technology in shaping the future.
Subscribe to the Applied Imperative podcast:
Spotify: https://spoti.fi/4jT1ngc
Apple: https://apple.co/4jBZEwi
Takeaways
AI is a common interest across various industries.
Prompt engineering is essential for effective AI utilization.
Diversity in learning environments enhances understanding.
Remote learning can be challenging but rewarding.
AI's role in business security is increasingly important.
Demystifying AI concepts is crucial for leaders.
AI can significantly improve customer experience.
The future of AI in telecommunications is promising.
Risks in AI include adversarial attacks and biases.
Show links
Prabha Jha’s LinkedIn: https://www.linkedin.com/in/prabhajha/
Applied CAx website: https://www.appliedcax.com/
Summary
In this episode of the Applied Imperative podcast, Dale Goulding interviews David Meyer, a business development manager at Siemens Digital Industry Software, focusing on sustainable energy solutions. They discuss the growing momentum behind new energy sources, particularly hydrogen, sustainable aviation fuels, and renewable natural gas. David shares insights on the challenges and opportunities in these sectors, the importance of simulation and digital tools in optimizing processes, and the future of the energy industry in the context of decarbonization. The conversation emphasizes the need for collaboration among various stakeholders to drive innovation and achieve sustainability goals.
Takeaways
There's a strong appetite for decarbonization in the energy sector.
Simulation tools are crucial for optimizing new energy processes.
Hydrogen supply chain challenges include transportation and storage.
Sustainable aviation fuel is in high demand from airlines.
Renewable natural gas offers a way to decarbonize waste.
Carbon capture technologies are evolving and present opportunities.
Collaboration among stakeholders is essential for project success.
Leveraging data can optimize energy production and efficiency.
The future of energy will involve a mix of technologies.
Decarbonization can drive profitability and operational efficiency.
Show links
David Meyer’s LinkedIn: https://www.linkedin.com/in/david-meyer-a452abb/
How has energy use changed throughout U.S. history?: https://www.eia.gov/todayinenergy/detail.php?id=62444
U.S. Energy System Factsheet: https://css.umich.edu/publications/factsheets/energy/us-energy-system-factsheet
“Beyond Zero” documentary: https://beyondzerofilm.com/
In this episode of the Applied Imperative podcast, Cheyenne Ng interviews Dale Goulding about his recent experience at MIT's Artificial Intelligence for Senior Executives program. Dale shares insights from his first week, including the diverse cohort of participants, the cutting-edge topics covered, and his key takeaways on the role of AI in the future of work. He emphasizes the importance of continuous learning and the need for humans to remain central in the deployment of AI technologies. The conversation also touches on the potential of AI to enhance productivity and the significance of networking in the tech industry.
Takeaways
The course at MIT focuses on the current state and future of AI.
Networking with diverse professionals enhances learning experiences.
AI is fundamentally based on statistics and requires human oversight.
Realism and agency are crucial in understanding AI's impact.
Continuous learning is essential in adapting to AI advancements.
AI can augment human capabilities rather than replace them.
The importance of ethical considerations in AI deployment.
Diverse perspectives lead to richer discussions about AI.
AI has the potential to improve productivity and quality of life.
Collaboration remains vital in the tech industry.
Show links
Mentioned podcast - The Revolutionary Potential of AI with CSAIL Professor Manolis Kellis: https://podcasts.apple.com/us/podcast/csail-alliances-podcasts/id1077045009?i=1000682874559
Summary
In this episode of the Applied Imperative podcast, Dale Goulding and Mark Sampson continue to examine Model-Based Systems Engineering (MBSE), discussing its significance, challenges in implementation, and the tools available for assessing organizational maturity in MBSE practices. They explore the complexities of integrating systems engineering into product development, emphasizing the need for organizational change and the importance of real-time impact assessments. The conversation highlights the evolution of SysML and the necessity of adapting to increasing product complexity, particularly in aerospace and automotive industries.
Takeaways
MBSE helps avoid costly last-minute integration problems.
Integration is crucial for successful product development.
Organizational change is essential for MBSE implementation.
SysML V2 is a watershed moment for MBSE adoption.
Tools like the MBSE maturity assessment can guide organizations.
Real-time impact assessments are vital for effective change management.
The complexity of products is increasing, necessitating new approaches.
Understanding the implications of changes is critical for success.
Collaboration across domains enhances systems engineering outcomes.
Managing requirements effectively is key to successful product lifecycle management.
Show links
MBSE maturity assessment: https://www.appliedcax.com/mbse/
Column of shame: https://www.appliedcax.com/wp-content/uploads/Columnn-of-Shame.pdf
Summary
This conversation delves into Model-Based Systems Engineering (MBSE), focusing on the evolution from SysML V1 to V2, the challenges faced in standardizing systems engineering language, and the organizational changes necessary for successful implementation. Mark Sampson shares insights on the complexities of V1 and the anticipated improvements in V2, emphasizing the need for a more accessible and standardized approach to systems engineering.
Takeaways
Model-Based Systems Engineering (MBSE) is crucial for modern engineering.
SysML V1 had significant flexibility but became overly complex.
The transition to SysML V2 aims to simplify systems engineering language.
Standardization in systems engineering is essential for collaboration.
Organizational change management is critical for adopting MBSE.
SysML V2 is designed to be more user-friendly and accessible.
The evolution of MBSE reflects lessons learned from past practices.
A common language can bridge gaps between engineering disciplines.
The Department of Defense is mandating MBSE approaches in contracts.
Effective communication is key to successful systems engineering.
Show links
More information on SysML V2 https://www.incose.org/docs/default-source/content-library/moving_forward_with_sysml_v2-incose_atlanta_chapter-sfriedenthal-2024-07-17.pdf?sfvrsn=e5548c7_2
Summary
In this episode of the Applied Imperative podcast, Dale Goulding and Mark Sampson delve into Model-Based Systems Engineering (MBSE), exploring its significance in modern engineering practices. They discuss the challenges faced by the aerospace industry, the implications of Conway's Law, and the necessity for integrated development processes. Through a case study involving a speaker wire problem, they illustrate the importance of communication across engineering disciplines and the need to recognize secondary effects of design decisions. The conversation emphasizes the shift towards a more collaborative and efficient approach to engineering, highlighting MBSE as a crucial tool in addressing industry challenges.
Takeaways
Model-Based Systems Engineering (MBSE) is essential for modern engineering.
Conway's Law illustrates how organizational structures affect product design.
The aerospace industry faces significant challenges in affordability.
Integration must occur continuously throughout the engineering process.
A parallel development approach enhances efficiency and speed.
Communication across engineering disciplines is critical for success.
Design decisions can have unforeseen secondary effects.
Insane design behavior can lead to repeated mistakes in engineering.
Understanding functions in design helps prevent costly errors.
MBSE can help address complex integration problems in engineering.
Show links
Mark Sampson’s LinkedIn https://www.linkedin.com/in/mark-sampson-61402b5/
Summary
In the second episode of Applied Imperative, we dive into Model-Based Systems Engineering (MBSE), exploring its significance in modern engineering practices. Our expert guest, Mark Sampson, MBSE Evangelist, shares his extensive experience in the field, highlighting the evolution from traditional document-based methods to a model-centric approach. The discussion emphasizes the importance of cross-domain collaboration and the challenges posed by complex systems integration. Real-world examples illustrate the necessity of MBSE in preventing repeated engineering problems and ensuring effective communication among various engineering disciplines.
Takeaways
Model-Based Systems Engineering (MBSE) is essential for modern engineering.
Cross-domain collaboration is crucial to avoid integration issues.
Traditional document-based practices are no longer sufficient.
Models provide a real-time view of system interactions.
Silos in decision-making lead to repeated engineering problems.
Understanding relationships between components is key to success.
Integration challenges arise from miscommunication between teams.
The complexity of systems requires a shift to model-based practices.
MBSE helps in managing the exponential growth of software lines of code.
Real-world examples demonstrate the effectiveness of MBSE.
Show links
Mark Sampson’s LinkedIn https://www.linkedin.com/in/mark-sampson-61402b5/
INCOSE https://www.incose.org/
Summary
In the inaugural episode of the Applied Imperative podcast, we introduce our host, Dale Goulding. He walks us through the podcast's purpose and vision, focusing on the intersection of technology, engineering, and innovation. Dale shares his extensive background in aerospace and engineering, highlighting the role of Applied CAx in providing Siemens software solutions to various industries, particularly aerospace, defense, and clean energy. This first discussion of the podcast emphasizes the rapid pace of technological change, the importance of digital transformation, and the podcast's aim to explore these themes in depth, featuring expert insights and case studies.
Takeaways
The podcast aims to discuss the intersection of technology and innovation.
Dale Goulding’s extensive experience in aerospace and engineering.
Applied CAx focuses on providing Siemens software solutions.
The exponential age is characterized by rapid technological change.
AI is a central catalyst for innovation across industries.
Customization in products and services is increasing.
Digital twins are crucial for enabling transformation.
The podcast will explore various themes and topics in depth.
Experts will be featured to provide insights into specific fields.
The future of engineering and manufacturing is evolving rapidly.
Links from this episode
Dale Goulding’s LinkedIn - https://www.linkedin.com/in/dale-goulding-9761a731/
Applied CAx website - https://www.appliedcax.com/
