This episode is brought to you by IP.com. Please complete the registration form to watch the full conversation.

The nature of intellectual property is changing. For designers, scientists and engineers, innovation can have widely different meanings, from a novel way to combine carbon atoms into a molecule for the pharmaceutical industry, to a control algorithm for an interplanetary spacecraft. Once, the concepts of novelty and innovation were simply defined in legal terms, and the methods for protecting innovation were clearly defined.

Today, it’s more complicated. Not only is the concept of innovation more nuanced, but the very nature of information is also in play. How much of a human genome is patentable? How much of a copywritten algorithm is defensible? Can artificial intelligence be assigned a patent? The stakes and never been higher, and the difficulties in keeping proprietary information away from competitors, have never been more challenging.

Joining engineering.com on this episode of The Engineering Roundtable are four experts to discuss this complex topic.

Panelists:

Jim Durkin, Managing Director, Product Management, IP.com
Ameet Bhattacharya, CTO, IP.com
Joe Manico, Research Scientist, Kodak Moments
Elle Gahl, President & CEO, Shadow Ridge Analytics

Moderator:

Jim Anderton, Multimedia Content Director, engineering.com

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To learn more about IP.com and their AI solutions for innovation, contact sales@ip.com or visit https://ip.com.

The post IP is Changing in the Age of AI  appeared first on Engineering.com.

This episode is brought to you by Dell Technologies.

The digital twin is perhaps the most important development in computer-aided design since digital rendering. It’s more than a way to digitally represent products and the processes that make them, it’s a parallel engineering world, a place where what if scenarios and experiments can be performed to optimize designs and processes. Digital twin is not only a tool that speeds development in engineering, it’s a vital element of engineering risk management, a way to try things that would be unthinkable in the physical world, with the possibility of a high-value payoff.

Artificial intelligence can offer similar benefits to engineering processes, and is already a critical tool to aid in decision-making. What happens at the confluence of these two important technologies? What are the implications of artificial intelligence operating through the digital twin to change the engineering process?

Joining engineering.com on this episode of The Engineering Roundtable are three experts to discuss these implications:

Panelists:

Todd Edmunds, Global CTO Smart Manufacturing, Edge & Digital Twins, Dell Technologies Global Industries
Jason Nassar, Senior Consultant, Product Management, Dell Technologies Edge Solutions
Pieter Van Schalkwyk, CEO of  XMPro

Moderator:

Jim Anderton, Multimedia Content Director, engineering.com

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Dell Technologies can support your digital transformation efforts. Sign up for a free consultation with Dell experts to see how Digital Twins can enhance your AI infrastructure management.

Want to learn more? Watch Dell Technologies’ Industrial Digital Twin demo video on YouTube.

The post Revolutionizing Industry 4.0: Scaling Digital Transformation with AI & Digital Twins appeared first on Engineering.com.

The future is built largely by engineers and designers with the talent and skill to take an idea and turn it into the products and services that enhance life for all of us. Great ideas come from individuals and from gigantic corporations, but the ability to take insight and turn it into marketable products confers a significant advantage on larger corporations. Scale matters, and the meme of the long hours and high stress world of the startup is based in reality.

But does it have to be? What if individuals and small firms had access to the same powerful engineering tools used by multinational corporations, and were freed from the constraints of limited capital and a modest headcount? That’s the promise of cloud connected engineering software, which has implications far beyond simply remote work. 

Joining engineering.com on this episode of The Engineering Roundtable are four experts to discuss he implications of these power tools:

Panelists:

Robin Persiaux,  R&D Design engineer, ACWA Robotics
Susan Coleman, Director of Academic and Startup Programs, Ansys
Mark Birch, Global Startup Advocate, Amazon Web Services
JJ Jones, Global Cloud Business Development Manager, Ansys

Moderator:

Jim Anderton, Multimedia Content Director, engineering.com

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From early-stage prototypes to scaling operations, learn how startups can leverage Ansys’ expertise and AWS resources to overcome engineering challenges. 

The post The Future of Engineering is in the Cloud: Powering Innovators with Cloud-Based Simulation appeared first on Engineering.com.

This episode of The Engineering Roundtable is brought to you by Dassault Systèmes.

The process of engineering design is undergoing a sea change unlike anything seen since the advent of widespread computer-aided design 40 years ago. CAD made rendering digital, but it didn’t fundamentally change the way in which engineers and designers dreamed, developed, and drew parts and assemblies. 

Today, that’s changing. Cloud-based systems allow design software to operate with distributed, fast and sophisticated hardware beyond anything found on a designer’s desk or server room. And that same connectivity allows those designers to collaborate in ways that would be impossible with a conventional design review or engineering meeting. And now, the software itself is taking on some of the design tasks.

Engineering.com spoke with three experts who had notable insight into this fast-evolving environment:

Panelists:

Tim Greenwood, Senior Solution Architect Manager, Dassault Systèmes
Daniel Pyzak, CATIA Mechanical Technical Director, Dassault Systèmes
Kevin O’Donovan, Technology Evangelist

Moderator:

Jim Anderton, Multimedia Content Director, engineering.com

The post Collaborative design looks forward appeared first on Engineering.com.

This episode of The Engineering Roundtable is brought to you by Autodesk. 

Manufacturing, in America and around the world, is at an inflection point. The unprecedented combination of disrupted global supply chains, new forms of automation and the power of the cloud to connect people and machines everywhere, all the time, is delivering a tectonic shift in the way the world turns raw materials into useful products. The silos that defined design, manufacturing, marketing, procurement and planning, are breaking down, a convergence made possible by new forms of software that handle large quantities of real-time data and turn it into actionable insight.

Joining engineering.com at the Engineering Roundtable to discuss this shift are:

Panelists:

Alex Clemente, Founding Managing Director of Harvard Business Review Analytic Services
Derrek Cooper, VP of Cloud Data and PLM, Autodesk
Shelly Mujtaba, VP of Product Data, Autodesk
Detlev Reicheneder, Senior Director, Business Strategy, Design and Manufacturing, Autodesk

Moderator:

Jim Anderton, Multimedia Content Director, engineering.com

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Can data and process management adapt to your business?  Learn more about how Autodesk PLM can help digitally transform small shops to large enterprises to be more resilient and agile.

The post For Manufacturing, Cloud Connectivity Means Better, Faster and Lower Costs, Right Now appeared first on Engineering.com.

This episode of The Engineering Roundtable is brought to you by Unity. 

In almost every technology used by human beings, the human machine interface, or HMI, is critical to product performance. Whether it’s an interplanetary spacecraft or a smart phone, mission success and end user satisfaction is highly dependent on the ability of people to access machine functionality easily. For many projects, the HMI can be the pacing item, absorbing a large proportion of developer time and project costs. Development of a great HMI is an art, a science and an engineering challenge, one that requires creativity, careful planning and the right tools.  

On this episode of The Engineering Roundtable, we discusses the importance, challenges and future of HMI development with an expert panelist from TomTom and Unity.

Learn more about Unity for HMI.

Panelists:

Rok Erjavec, Vice President of Engineering, TomTom

Henning Linn, Director Solutions Engineering, Unity

Romano McBride, Senior Technical Product Manager, Unity

Paul Schouten, Design Team Lead, TomTom

Moderator:

Jim Anderton, Multimedia Content Director, engineering.com

The post The Human Machine Interface: Critical for Product Development Success appeared first on Engineering.com.

This episode of The Engineering Roundtable is brought to you by VinZero U.S. CAD. 

Large civil engineering projects, particularly infrastructure projects, have never been more important than in this post COVID-19 era. Global supply chains are shifting, and in America the re-shoring of manufacturing combined with a growing and moving population base means added demands on everything from rural bridge maintenance to large urban housing programs. Building out the 21st century with engineering methodologies that deliver on-time and on budget require the use of sophisticated software-driven tools to manage complexity and deliver value to multiple stakeholders.

Integration of project management, project lifecycle management, design and manufacturing software tools promise to deliver faster, more error proof, more manageable infrastructure projects. Getting multiple stakeholders on the same page has always been difficult, and the same accelerated time-to-market pressures driving American manufacturing also apply to critical infrastructure, which is needed faster than ever before. Is there a single solution to streamline this difficult problem? 

Panelists:

Yvonne Maffia, Senior Market Insight Analyst, TD Synnex Public Sector

Aaron Powell, Solutions Consultant, VinZero U.S. CAD

Dustin Rouse, Chief Engineer, Montana Department of Transportation

Keith Warren, Infrastructure Owner Sales Executive, Autodesk

Moderator:

Jim Anderton, Multimedia Content Director, engineering.com

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Digital delivery is achievable with the right technology partner. VinZero U.S. CAD’s experts can assess your technology stack, workflows, assets, pain points and strategic plans. Learn more about how to take advantage of a complimentary Success Planning program today.

The post Managing 21st Century Infrastructure: Using Advanced Tools to Crack the Complexity/Cost Problem appeared first on Engineering.com.

This episode of The Engineering Roundtable is brought to you by Altair. 

In the history of engineering, there are pivotal developments that changed engineering from art to an applied science. The development of standardized and calibrated systems of measurement, the evolution of rendering into standardized technical drawings, and of course the computer. As a computational aid and as a tool to streamline engineering rendering, computers made the modern world possible, but the art and science of engineering is about to undergo a fundamental, seismic shift: artificial intelligence. AI, and more specifically, generative design, promises to change literally everything about engineering, from basic ideation, to rendering, two-part and product development and manufacturing. Industrial automation seeks to replace human muscle power with machines, but the automation of the engineering process itself promises to change the way humanity lives and works in fundamental ways.  

Exascale computing, and widely distributed computing through the cloud allows modern AI driven engineering design software to iterate complex designs millions or billions of times to generate optimized results quickly and at low-cost. And the next generation of generative design (GD) promises to go farther: suggest design, and ultimately create new solutions to existing problems with little or no human intervention at all. GD promises to create the “everything” engineering machine: describe a problem, and get an engineering solution that’s robust, fully simulated, and ready to implement with a very high degree of confidence. That level of sophistication isn’t here yet, but AI and generative design in their current form already shaved weeks and months from development times, and as importantly, reduce error and risk in development programs.

Learn more about how AI and generative design is helping optimize and accelerate products built in today’s factory of the future.

Panelists:

Dr. Ming Zhou, Chief Engineer, Computational Mechanics and Design Optimization, Altair

Tamás Schmidt, CAE Simulation Engineer Specialist, Xplast

Dr. Francesco Trevisan, Additive Manufacturing Engineer, Wärtsilä

Dr. Joseph Flynn, Senior Specialist, Altair

Ujwal Paitnaik, Global Business Development & Strategy Manager, Altair

Moderator:

Jim Anderton, Multimedia Content Director, engineering.com:

The post Generative Design: Redefining Engineering in the 21st Century appeared first on Engineering.com.

This episode of the Engineering Roundtable is brought to you by Siemens. 

The smart factory has been essential for manufacturing success. Since the dawn of mass production. Traditionally embodied in paper processes and in the minds of manufacturing professionals, modern hardware and software enables production processes to generate, aggregate and process large amounts of relevant data with speed and complexity impossible for human minds to handle in real-time. Success in manufacturing today frequently boils down to a company’s ability to make good decisions based on intelligent use of data aggregated from the shop floor, front office and from the field.  

Learn more about solutions to engineering and manufacturing challenges for small and medium businesses.

Panelists:

Mike Denley, Senior Director of Strategic Programs and Initiatives, Siemens Digital Industries Software:

Mike currently leading the Siemens Cloud Application Solutions Program & Initiatives team. That team helps the development and coordination of strategic key Industrial IoT programs and initiatives to increase and improve outcomes involving product, customers and partners working with Product Management, Research & Development and Strategic Partners. This His academic and industry experience includes graduate and post-graduate work in Total Quality Management, Software Design & Development, Organizational Change, Lean Six Sigma and Business Analytics with a focus in Sustainability.

Rahul Garg, Vice President of Industrial Machinery and Small to Midsize Business Programs, Siemens Digital Industries Software:

Rahul’s multiple roles deliver solutions to help manufacturers develop competitive products and fill portfolio gaps using tools such as software as a service to great effective go to market strategies, as well as business practices that support small and medium-sized manufacturing customers achieve high performance. Rahul holds graduate and undergraduate degrees in computer science and computer engineering. 

Moderator:

Jim Anderton, Multimedia Content Director, engineering.com:

Jim was formerly editor of Canadian Metalworking Magazine and has contributed to a wide range of print and on-line publications, including Design Engineering, Canadian Plastics, Service Station and Garage Management, Autovision, and the National Post. He also brings prior industry experience in quality and part design for a Tier One automotive supplier.

The post Small Factory, Smart Factory: Advanced Systems Boost Manufacturing SMB’s appeared first on Engineering.com.

Model based systems engineering, or MBSE, gives engineering teams the ability to control and manage the vast amount of data generated by the modern design and development processes. It’s effective, and like all sophisticated, software-driven engineering systems, must be implemented correctly for best results. MBSE has applications across multiple industries from automotive to aerospace to electronics. Joining engineering.com’s Jim Anderton to discuss where and how MBSE can streamline complex processes is Siemens Digital Industries’ Todd Tuthill, VP of Aerospace & Defense, Nand Kochhar, VP of Automotive & Transportation, Mark Malinoski, MBSE Solutions Director, and CIMdata analyst Don Tolle.

MBSE is an accelerator for every industry. Learn more.

Panelists:

Todd Tuthill, Vice President for Aerospace and Defense Strategy and Marketing, Siemens Digital Industry Software:

Todd’s engineering background is in systems design with functional engineering with a strong vision for digital transformation. His aerospace leadership career spans McDonnell Douglas/Boeing, Moog Aircraft, Raytheon, and Siemens. His experience encompasses all aspects of A&D programs, including design, model-based systems engineering, software engineering, lean product development, supplier/partner management and program management. 

Nand Kochhar, Vice President of Automotive and Transportation Industry Strategy,  Siemens Digital Industries Software:

Nand joined Siemens in 2020 after nearly 30 years with Ford Motor Company, where he most recently served as Global Safety Systems Chief Engineer.  He also served as Executive Technical Leader, CAE, and as a member of Ford’s Technology Advisory Board. Kochhar’s tenure at Ford also included executive engineering leadership across a range of disciplines including in product development, manufacturing, digitalization, simulation technology development and implementation.  

Mark Malinoski, WW Director of MBSE, Electronics Design Automation Industry, Siemens Digital Industries Software: 

Mark joined Siemens in 2019 with 40 years’ experience in the electronic design automation industry, focusing on semiconductors.  He’s managed product teams within industry leading companies; Advantest, Cohu and Schlumberger. He holds 7 patents  and over the past 5 years, Mark has focused on EDA industry’s adoption of Systems Engineering with model-based tools and methodologies.  He represents Siemens EDA in the SysML V2 standard development and guides Siemens EDA’s planning for SysML V2 adoption. 

Donald Tolle, Director, Systems Engineering & Simulation Consulting Practice, CIMdata: 

Don is an internationally recognized authority on Product Lifecycle Management (PLM). Don has over 40 years of PLM and CAE/CAT industry experience and has used this hands-on knowledge of industry requirements and technology gaps to guide the development of next-generation tools and processes at SDRC Engineering Services, UGS/Siemens PLM and Comet Solutions. His current area of focus centers on the linkage between the disparate, “loosely connected” disciplines in systems/conceptual engineering with multi-disciplinary performance simulation and V&V processes, based on robust, multi-fidelity model-based engineering methodologies.

The post Model Based Systems Engineering (MBSE): The Solution for Complex, Cost-Effective Engineering Projects? appeared first on Engineering.com.