Introduction I had the opportunity to join two industry experts, Stephen Birtsas and Leo Moran of Kalypso, in an interactive panel discussion about the manufacturing digital twin. Our goal was to examine the business value of manufacturing digital twins in the consumer packaged goods (CPG) industry and review some tangible examples of successful implementations. There’s a…
- In the design phase, to predict how a design would work, for example, doing a throughput or feasibility analysis, and adjust the design to deliver on requirements and create a very high level of confidence that the operation is going to work effectively
- In the commissioning phase, by virtually testing controls and systems integration to find bugs and optimize designs early to commission and get up to your target OEE rates much faster
- In the operations phase, for example, for troubleshooting and testing a hypothesis on a potential solution to quickly implement improvements
Learning from Real Case Studies
Stephen and Leo shared a number of projects they've completed with their clients. I'll provide a summary of the benefits here, but I encourage you to watch the webinar to learn more about how they achieve these significant benefits from the manufacturing digital twin.- Design
- A medical device company simulated factories to understand real production flow, identify where bottlenecks occur, rightsize their warehouses, and improve supply chain planning, allowing them to meet a huge increase in demand as they release new products
- A solar panel manufacturer used both simulation and emulation to identify and eliminate over 157 design flaws in their material handling process design, leading to a significant improvement in the overall capacity of the factory
- Commissioning
- A major CPG company built a digital twin for both design and emulation of all of their control systems, leading to incredible savings in commissioning time for new lines
- A global retailer simulated and virtually commissioned half a dozen automated storage and retrieval systems, delivering 30% savings in commissioning time and a massive reduction in downtime
- Operations
- A tire manufacturer built a more analytical model of tire splicing that enabled them to reduce downtime, resulting in an annual production increase of about half a million tires per year
- A beverage manufacturer developed a digital twin to simulate and replicate line stoppages and was able to test potential solutions ten times faster, solving the problem which resulted in a 52% downtime reduction and 14% improvement in OEE
Final Thoughts
The conversation confirmed that the manufacturing digital twin can drive a lot of business value. The case studies show that digital twins are more than hype, they're a path to improve how manufacturers design, commission, and operate their plants, lines, equipment, and processes. Thank you to Stephen, Leo, and host Hadley Bauer for including me in the discussion. To learn more about how Kalypso helps manufacturers gain tangible value from the digital twin, you can watch the webinar replay (no registration required) and find additional information about digital twins for consumer and retail companies on the Kalypso site. For related content, read the State of PLM in CPG find out what top performers are doing with their PLM systems. [post_title] => The Value of the Manufacturing Digital Twin in CPG [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => manufacturing-digital-twin-2 [to_ping] => [pinged] => [post_modified] => 2024-02-20 12:33:14 [post_modified_gmt] => 2024-02-20 17:33:14 [post_content_filtered] => [post_parent] => 0 [guid] => https://tech-clarity.com/?p=19484 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [1] => WP_Post Object ( [ID] => 19366 [post_author] => 2574 [post_date] => 2024-01-04 09:00:24 [post_date_gmt] => 2024-01-04 14:00:24 [post_content] =>
- Why transform? What are the biggest benefits as a manufacturer moves toward MBE? (For example, traceability, agility, time to market, quality, efficiency, new customer requirements, etc.)
- What do aerospace and complex manufacturers need to do now to prepare and embark on the MBE journey?
- Given that program cycles are long, how do we learn and iterate to advance MBE practices within just a few years?
- What software advances are needed in both PLM and MES to enable better PMI and model-based process planning?
- What is metadata, and what is its role in model-based design (MBD)?
- What are solution providers doing to support model-based manufacturing and get usable PMI from engineering to manufacturing?
- What have we already learned about what has worked and has not?
- Ron Squires, who leads Digital Transformation for the Strategic Space Systems Division of Northrop Grumman Space Systems
- Jeff Gleeson, an independent consultant and digital manufacturing leader with decades of experience at Lockheed Martin as both a practitioner and an innovator of production operations business processes and supporting technologies
- Michel Gadbois, Senior Vice President and Chief Enterprise Architect at iBase-t
- Julie Fraser, VP of Research for Operations and Manufacturing at Tech-Clarity and long-time industry analyst, will join and moderate.


[post_title] => The Semiconductor Risk Conundrum: MES Status Quo or Migration? [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => risk-conundrum [to_ping] => [pinged] => [post_modified] => 2023-12-19 16:34:19 [post_modified_gmt] => 2023-12-19 21:34:19 [post_content_filtered] => [post_parent] => 0 [guid] => https://tech-clarity.com/?p=19130 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [4] => WP_Post Object ( [ID] => 19119 [post_author] => 2 [post_date] => 2023-12-05 13:00:44 [post_date_gmt] => 2023-12-05 18:00:44 [post_content] => What’s new and interesting in the product portfolio management (PPM) market? I caught up with Bryan Seyforth’s new company, BrightFire, to find out. What I learned is that he’s planning to make PPM more accessible for smaller companies. This is early, but something to watch.

- Strategy/platform governance
- Phase-gate governance
- Portfolio governance
- Resource planning

- Learn how to build a data-backed business case for PLM implementation
- Uncover industry and organizational drivers that impact NPDI
- Understand projected ROI from implementing a PLM system




- How can automotive companies leverage digital manufacturing best practices to launch and scale EV programs faster?
- How can they set the stage for greater agility to drive innovation and improvements of all kinds into production?
Table of Contents
- The EV Revolution Demands Change
- Adopt Best Practices in Production Planning
- Digitally Transformation Manufacturing Planning
- Increase use of 3D Modeling
- Simulate, Validate, and Optimize Production
- Conclusions and Next Steps
- Acknowledgments
EVs are a Disruptive Force
Electrification is Disrupting the Transportation Industry Our data shows that risk and disruption increased for about two-thirds of automotive and transportation companies over the last five years, and for roughly one-third, it "significantly" increased.1 The electric vehicles (EV) transition is causing upheaval and is undoubtedly a big contributor to the problem. The impact is significant on both pure EV manufacturers and traditional internal combustion engine (ICE) driven vehicle producers combatting new entrants. Today's rapid pace of innovation has disrupted the status quo, resulting in the need for speed, innovation, and agility. Leading automotive companies are taking the opportunity to turn disruption to their advantage, creating a chance to innovate and differentiate themselves. Driving Change through Better Manufacturing Planning The EV-driven disruption demands digital transformation across the business. One area that can make a strategic difference is manufacturing engineering. Companies need to improve production planning to drive faster, more agile introduction of innovation in EV and ICE programs alike. And they have to do this despite increased complexity and without disrupting quality. Fortunately, the automotive industry is accustomed to change, and best practices already exist. Our research shows that top-performing automotive companies are more likely to leverage proven practices for manufacturing engineering, specifically 3D modeling, simulation, and collaboration. This eBook explores:- How can automotive companies leverage digital manufacturing best practices to launch and scale EV programs faster?
- How can they set the stage for greater agility to drive innovation and improvements of all kinds into production?

The EV Revolution Demands Change
Transformation is Mandatory The move toward electric vehicles is picking up pace. New entrants paved the way and created a market that demands alternative fuel source transportation. In many cases, these companies have innovated in manufacturing processes in addition to vehicle designs. Some changes have been necessary because of new processes like battery assembly and fundamental powertrain differences. But these companies have also pushed the limits on new materials and new production processes like additive manufacturing and Tesla's Giga Press. Don’t Forget Lessons Learned Some manufacturing methods have to be revised, reinvented, or invented in the first place to bring EVs to full-scale production effectively. However, traditional manufacturers have decades of experience and knowhow on effectively planning and launching vehicle programs at scale. Many of the basics still apply, and manufacturers shouldn't discount decades of learning. That knowledge must continue to be captured, reused, and continuously improved. At the same time, new materials and methods from EV programs can be evaluated for ICE production. Of course, it's important to remember that even "traditional" vehicle production needs to transform to accommodate increasingly software- and systems-oriented vehicles, shorter vehicle lifecycles, and greater vehicle personalization. [post_title] => Transforming Manufacturing Planning in the EV Era [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => electric-vehicles-ebook [to_ping] => [pinged] => [post_modified] => 2023-12-15 13:28:54 [post_modified_gmt] => 2023-12-15 18:28:54 [post_content_filtered] => [post_parent] => 0 [guid] => https://tech-clarity.com/?p=19037 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [10] => WP_Post Object ( [ID] => 19025 [post_author] => 2574 [post_date] => 2023-11-14 10:00:44 [post_date_gmt] => 2023-11-14 15:00:44 [post_content] => Might international standards for data exchange and interoperability between trading partners worldwide finally take hold? Could multi-enterprise manufacturing networks get cost-effective data flows in an open, vendor-agnostic network? That’s the intention of International Manufacturing-X Council (IM-X). Michelle Boucher and I had an opportunity to learn about this new consortium of 10 nations from CESMII (The US’ Smart Manufacturing Institute) CEO John Dyck. This is an urgent need. Our research shows that over two-thirds of manufacturers spend a lot of time, effort, and expertise to integrate and maintain integration between MES, quality, maintenance, scheduling, IoT, and machine or equipment data. From 2020 to 2023, this did not improve. And that’s just in the operations. Extending integration so data flows across the enterprise and supply chain compounds that challenge. CESMII has been advocating for the best interoperability standards in manufacturing enterprises and plants. The goal is to democratize digitalization by commoditizing (or turning open-source) aspects that are not proprietary. This new consortium takes work CESMII has been doing – and some it has done jointly with Germany’s Platform Industrie 4.0 – more global and into the supply chain. IM-X’s vision “is to enable open, global and cross-industry operation of cost-effective data networks. This will be realized through three sets of strategic initiatives:- Connect value chains and manufacturing data networks across supply chains, industries, and countries
- Implement global foundations for data-driven resilient, sovereign and climate-neutral production covering the full life cycle of production and products
- Enable innovative value creation in an interoperable and sovereign data ecosystem.”
- the USA (CESMII)
- Germany (Plattform Industrie 4.0)
- Austria (Plattform Industrie 4.0 Österreich)
- France (Alliance Industrie du Futur)
- Australia
- Canada (Offensive de Transformation Numérique)
- South Korea (KOSMO)
- Japan (RRI)
- Italy (Confindustria)
- the Netherlands (Smart Industry)


- Where are the common breaks in the digital thread?
- What are some practical things companies can do to improve continuity?
- How can the comprehensive product models envisioned in MBE generate more value?
- Why do the UUID or CAD ID and instance identification matter so much?


- What are manufacturers doing to see and work both within and beyond the supply chain discipline?
- Who most needs to contribute to and collaborate in the supply chain planning process for it to be effective in the face of constant change?
- What data and types of systems are you integrating as top priority?
- Is internal visibility and collaboration more or less important than with suppliers and customers? Where are the interdependencies?
- What role do digital twins play in supply chain visibility and collaboration?
- What are the keys to success in people, processes, and technology?
- Are you treating this a major transformation or ongoing adjustments?
How much do disconnected tools cost your business?
Historically, most companies have relied on multiple disconnected tools to get the job done, particularly in product development and manufacturing. IT then invests significant effort to integrate them. Interestingly, Top Performing companies say that reducing manual efforts and non-value-added work is most important for successful product development and manufacturing software. To achieve this, they point to solutions that easily integrate. This leads to the question, should companies invest in best-of-breed solutions they must integrate or adopt an integrated platform? Do the benefits of adopting best-of-breed point solutions outweigh the cost of working with disconnected tools?
Based on a survey of 187 IT, product development, and manufacturing professionals, this research study examines these questions. It looks at what IT needs to be successful in their job and how they can provide the most value to their company, including product development and manufacturing teams. It reveals best practices for overcoming the costs of disconnected tools and how to empower IT to focus more energy on the tasks that offer the most corporate benefit and make them even more successful.
Please enjoy the summary* below. For the full research, please visit our sponsor SOLIDWORKS (registration required).
Table of Contents
- Executive Summary
- IT is Critical to Business Strategy Execution
- Address IT Bottlenecks to Ensure Success
- Identifying Top Performers
- Product Development and Manufacturing Software
- Product Development & Manufacturing Requirements
- Is Best-of-Breed Still the Best Approach?
- Best-of-Breed Impact on Users
- Overcoming Best-of-Breed Challenges
- An Integrated Platform Solves Many Challenges
- IT Advantages of an Integrated Platform
- What It Takes to Keep Product Data Secure
- Recommendations
- About the Research
- Acknowledgments
Executive Summary
IT’s Role in Competitiveness Companies must be as efficient as possible in today's competitive global environment. Many are turning to digital transformation to achieve greater efficiencies, leading them to rely on IT to execute. Yet, IT must deal with many issues that hold them back. They rate the time and effort required to integrate software applications as the top issue consuming their time, taking them away from enabling business strategies. Product Development & Manufacturing The right software solutions empower engineering and manufacturing and are critical to a digital transformation strategy. To be successful, product development and manufacturing need their software to reduce manual efforts and non-value-added work to help them meet time to market goals, improve quality, and lower costs. This requires integrated solutions, yet IT rates integrating software solutions as the top challenge of implementing product development and manufacturing solutions. Does Best-of-Breed Still Work? The challenges associated with disconnected tools lead to the question, what's better, a best-of-breed or integrated platform approach? Historically, best-of-breed solutions were preferred. While individual tasks benefit, to achieve the efficiencies promised with digital transformation, manage product complexity, and respond to competitive pressures, the entire product lifecycle, from design to production, should be considered. The lack of integration across tools creates bottlenecks and breaks the digital thread, negating potential time savings when improving a single task. Further, IT rates the efforts required to integrate solutions as the top challenge associated with a best-of-breed approach. To overcome this, most of those using best-of-breed solutions believe adopting a platform of integrated tools will help. Integrated Platforms Those who use an integrated platform, validate this idea as 99% of those using an integrated platform report advantages over other approaches. These advantages lead to improved product quality, greater efficiency, greater ability to scale the business, lower product cost, and better business agility. With a platform, IT can avoid wasting time managing complex compatibility matrixes and integrating software. Instead, they can focus on activities that increase their visibility as a corporate strategic asset.
IT Is Critical to Business Strategy Execution

Recommendations
Recommendations and Next Steps Based on industry experience and research for this report, Tech-Clarity offers the following recommendations for IT staff:- Ensure the success of product development and manufacturing software by focusing on automation to reduce manual efforts.
- Keep in mind the significant time pressures faced by product development and manufacturing teams. Connecting time savings to any new software solution will encourage their adoption.
- Consider the benefits of an integrated platform over a best-of-breed approach. Technology advancements over the last several years have led to powerfully capable integrated platforms that will not have the drawbacks of disconnected tools.
- Recognize that digital transformation is not just a technology solution. An integrated platform can help, but implementation is critical. It should increase data reuse across the product lifecycle, eliminate data silos, automate processes and workflows, extend access to product data beyond engineering, and create a sign source of truth.
- Do not underestimate the efforts required to successfully implement digital transformation. It may require rethinking processes and significant effort to understand processes, bottlenecks, and opportunities for improvement. This will be an ongoing continuous improvement journey. By offloading more tedious tactical tasks, IT can focus more energy on the more strategic work that will enable digital transformation.
- Recognize the significant efforts required to keep data secure to determine if those resources would be better spent supporting the company's core business.




Table of Contents
- Executive Summary
- What It Takes for Product Success
- What Does Complexity Come From?
- Addressing Complexity
- What Holds Companies Back?
- Identifying Top Performers
- 1. Explore Design Ideas Using Simulation
- 2. Validate Simulation Accuracy with Test Results
- 3. Reduce Test Time with Collaboration
- 4. Accelerate Time to Results
- Recommendations
- About the Research
- Acknowledgments
Executive Summary
Getting a Competitive Advantage To be competitive in today’s global market, product engineering teams must balance quality, cost, and innovation requirements and still get to market as quickly as possible. However, these competing requirements make it challenging. Plus, ever-increasing complexity adds further complication. Managing Complexity Engineering teams must deal with numerous sources of complexity, ranging from more requirements and new disruptive technologies, to more software and electronics. Companies report that they deal with this complexity by investing in more technology. This can help to predict and characterize product performance. Four Practices The research looks at four ways companies can become even more competitive as they deal with increasing complexity:
- Use simulation to explore design ideas to innovate and optimize designs in less time. An overwhelming 99% find benefit in this powerful practice.
- Validate simulation models using test results to improve model accuracy. The vast majority of Top Performing companies, 79%, enable collaboration between simulation analysts and test engineers, allowing them to execute this highly effective practice.
- Reduce test time with collaboration. The findings reveal many ways leveraging simulation results during test saves time. Consequently, 100% of companies who enable collaboration between simulation and test report they experience benefits
- Accelerate the time to results with the right solution. The research uncovers several ways Top Performers save time, including that Top Performers are 2.3 times more likely than All Others to indicate that using cloud tools is a way to get results faster
Addressing Complexity
Engineering Impact

- They showed significant progress and alignment around their strategic vision to integrate AEC design processes across disciplines
- They delivered on a variety of enhancement requests for their existing customer base
- They demonstrated a product roadmap process that provides transparency and advanced insights while balancing strategic and tactical enhancements

Introduction
I had the opportunity to join two industry experts, Stephen Birtsas and Leo Moran of Kalypso, in an interactive panel discussion about the manufacturing digital twin. Our goal was to examine the business value of manufacturing digital twins in the consumer packaged goods (CPG) industry and review some tangible examples of successful implementations. There's a lot of confusion about digital twins in the market, including competing definitions and requirements. The panel cut through the hype and shared real-world experience about using digital twins in manufacturing to solve practical problems and unlock new value. I hope you find this summary informative.What is a Digital Twin Anyway?
We've all heard the term, maybe more than we wanted to. There's a lot of marketing hype, and the term "digital twin" itself has become a bit of a buzzword. Part of that is because people are trying to attach themselves to a valuable concept, even if they are just rebadging an existing capability to do so. Fortunately, we had the experts on the webinar to set the record straight on what it is and its real potential. I'll share some of their most insightful commentary here, but please watch the recorded panel discussion to get the complete picture, including how to get started. Stephen described the manufacturing digital twin as a visual representation, in silico, that simulates a production process. That process, he shares, could be anything from an entire facility to a line to a particular operation or cell. The representation allows engineers to evaluate production at a high level all the way down to the control logic that will control a manufacturing line and its equipment. He explains that doing this in a digital environment allows manufacturers to simulate production flow down to how PLC code impacts the physical world in a virtual simulation. Leo Moran further explained that digital twins are a discipline and capability they use to improve their clients' operations on their factory floors, warehouses, and distribution centers. They do this by determining the data needed to build a model and simulating equipment and operations to create analyses of an area to improve in the factory.What's the Value of a Digital Twin in CPG?
With the understanding of what a digital twin is, we turned to the obvious question of why they are valuable. We all agreed that the objective isn't to develop a model or digital twin, it's to solve a real business problem like optimizing plant efficiency. It's a strategic business capability, and our research shows that about two-thirds of manufacturers see the digital twin not just as a technology but as an important or critical capability to achieve their business strategy. Leo described the versatility and scope of the digital twin. He shared that Kalypso helps their clients across the lifecycle of a factory. It can start as they first design a factory to validate the design and ensure that it will meet requirements. Following that, it can go into a phase where they have to install and commission a great deal of complex equipment and then ultimately into operations to help optimize and manage production. He explained that there's a tremendous amount of time and cost savings available from simulation technology with the digital twin in all of these phases. Stephen shared a bit more detail, describing how clients look to solve real-world problems by applying a digital twin in one of those three areas:- In the design phase, to predict how a design would work, for example, doing a throughput or feasibility analysis, and adjust the design to deliver on requirements and create a very high level of confidence that the operation is going to work effectively
- In the commissioning phase, by virtually testing controls and systems integration to find bugs and optimize designs early to commission and get up to your target OEE rates much faster
- In the operations phase, for example, for troubleshooting and testing a hypothesis on a potential solution to quickly implement improvements
Learning from Real Case Studies
Stephen and Leo shared a number of projects they've completed with their clients. I'll provide a summary of the benefits here, but I encourage you to watch the webinar to learn more about how they achieve these significant benefits from the manufacturing digital twin.- Design
- A medical device company simulated factories to understand real production flow, identify where bottlenecks occur, rightsize their warehouses, and improve supply chain planning, allowing them to meet a huge increase in demand as they release new products
- A solar panel manufacturer used both simulation and emulation to identify and eliminate over 157 design flaws in their material handling process design, leading to a significant improvement in the overall capacity of the factory
- Commissioning
- A major CPG company built a digital twin for both design and emulation of all of their control systems, leading to incredible savings in commissioning time for new lines
- A global retailer simulated and virtually commissioned half a dozen automated storage and retrieval systems, delivering 30% savings in commissioning time and a massive reduction in downtime
- Operations
- A tire manufacturer built a more analytical model of tire splicing that enabled them to reduce downtime, resulting in an annual production increase of about half a million tires per year
- A beverage manufacturer developed a digital twin to simulate and replicate line stoppages and was able to test potential solutions ten times faster, solving the problem which resulted in a 52% downtime reduction and 14% improvement in OEE
Final Thoughts
The conversation confirmed that the manufacturing digital twin can drive a lot of business value. The case studies show that digital twins are more than hype, they're a path to improve how manufacturers design, commission, and operate their plants, lines, equipment, and processes. Thank you to Stephen, Leo, and host Hadley Bauer for including me in the discussion. To learn more about how Kalypso helps manufacturers gain tangible value from the digital twin, you can watch the webinar replay (no registration required) and find additional information about digital twins for consumer and retail companies on the Kalypso site. For related content, read the State of PLM in CPG find out what top performers are doing with their PLM systems. [post_title] => The Value of the Manufacturing Digital Twin in CPG [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => manufacturing-digital-twin-2 [to_ping] => [pinged] => [post_modified] => 2024-02-20 12:33:14 [post_modified_gmt] => 2024-02-20 17:33:14 [post_content_filtered] => [post_parent] => 0 [guid] => https://tech-clarity.com/?p=19484 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [comment_count] => 0 [current_comment] => -1 [found_posts] => 790 [max_num_pages] => 40 [max_num_comment_pages] => 0 [is_single] => [is_preview] => [is_page] => [is_archive] => [is_date] => [is_year] => [is_month] => [is_day] => [is_time] => [is_author] => [is_category] => [is_tag] => [is_tax] => [is_search] => [is_feed] => [is_comment_feed] => [is_trackback] => [is_home] => 1 [is_privacy_policy] => [is_404] => [is_embed] => [is_paged] => [is_admin] => [is_attachment] => [is_singular] => [is_robots] => [is_favicon] => [is_posts_page] => [is_post_type_archive] => [query_vars_hash:WP_Query:private] => cddd928fd539ca19111fa1be9cf52211 [query_vars_changed:WP_Query:private] => 1 [thumbnails_cached] => [allow_query_attachment_by_filename:protected] => [stopwords:WP_Query:private] => [compat_fields:WP_Query:private] => Array ( [0] => query_vars_hash [1] => query_vars_changed ) [compat_methods:WP_Query:private] => Array ( [0] => init_query_flags [1] => parse_tax_query ) [query_cache_key:WP_Query:private] => wp_query:7b6e6f973926c2de7a340dd87b39b451:0.24868600 17604683380.26173200 1760468338 )All Results for "All"
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How to Engineer Innovation with Simulation and Test
How can you help engineers manage complexity to make more informed design decisions? As the role of product development teams becomes increasingly critical to product differentiation, growing complexity continues to make the job harder. However, with the right technologies, and by connecting simulation and test, you can empower development teams to engineer products that will…
The Manufacturing Digital Twin – Buzz or Bullseye?
How can CPG companies cut through the noise to get value from a manufacturing digital twin of their production process? How does it differ in design, commissioning, and operational phases? The market is filled with a combination of marketing hype and real case studies about how digital twins help companies digitally transform and drive new…
Graphisoft Delivers New Capabilities, Progress on Integrated Design Vision
I had the opportunity to visit Graphisoft’s Budapest headquarters for their recent Building Together | Connect event. I left the event with several key takeaways: They showed significant progress and alignment around their strategic vision to integrate AEC design processes across disciplines They delivered on a variety of enhancement requests for their existing customer base…