PEX Network’s weekly news bulletin rounds up the latest research, reports and publications in operational excellence (OPEX), digital transformation, artificial intelligence (AI) and automation, business process management (BPM), process mining and process intelligence and more.
This week includes:
- Nvidia celebrates 2024 AI research advancements
- BPMN diagrams enhance BPM and team collaboration
- Digital twin approach quantifies EMCC operation improvements
- Report analyzes mobile BPM market
- Data-driven reliability assessment uses process mining to enhance manufacturing systems
Nvidia celebrates 2024 AI research advancements
Nvidia highlighted numerous advancements in AI, automation and robotics research it achieved in 2024. Most focused on generative AI – including “StormCast” and “MaskedMimic” which enable more advanced weather forecasts and motion inpainting for robotics. There was also “GluFormer,” which uses AI to predict future blood sugar levels and help determine the impact of dietary changes as well as “ConsiStory,” which allows for multiple AI image prompts with a consistent subject.
Furthermore, Nvidia summarized some key improvements and benchmarking victories, including “Hydra-MDP,” an end-to-end autonomous driving framework that won first place on the End-To-End Driving at Scale track of the Autonomous Grand Challenge at CVPR 2024. In robotics, FoundationPose, a unified foundation model for 6D object pose estimation and tracking, obtained first place on the BOP leaderboard for model-based pose estimation of unseen objects. “Of course, we continue to develop new models and methods for AI, and expect even more exciting results next year,” Nvidia wrote.
Watch Andreas Welsch, author of the AI Leadership Handbook, discuss the future of agentic AI
BPMN diagrams enhance BPM and team collaboration
New research analyzed how business process model and notation (BPMN) diagrams can optimize BPM and help improve team dynamics. BPMN is a graphical representation for specifying business processes in a business process model. “The structured use of BPMN has been shown to foster a shared understanding among different project teams, which is crucial for the synchronized execution of complex IT projects,” the researchers wrote. The application of BPMN diagrams can enhance process transparency, increase the efficiency of interdepartmental communication and optimize resource utilization, they added.
“The findings can be utilized by organizations to develop digital transformation strategies, automate business processes, manage risks and boost competitiveness. This enables companies to make informed decisions, adapt to dynamic market changes and create innovative solutions that align with the demands of Industry 5.0 and sustainable development.”
Register for All Access: Future of BPM 2025
Watch Tony Benedict, president of the Association of BPM Professionals International, reflect on breaking down down silos in process management
Digital twin approach quantifies EMCC operation improvements
Newly published research explored the use of a simulation-based digital twin approach to assess and quantify operational improvements in emergency medical communication centers (EMCCs). “In emergency situations, timely contact with emergency medical communication centers (EMCCs) is critical for patient outcomes. Increasing call volumes and economic constraints are challenging many countries, necessitating organizational changes in EMCCs,” the researchers wrote.
The study created a virtual model of EMCC operations to assess the impact of different organizational scenarios on accessibility, exploring two decompartmentalized scenarios where traditionally isolated call centers are reorganized to enable more flexible call distribution. “The primary measure of accessibility was service quality within 30 seconds of call reception.” The results showed that decompartmentalization improves service quality by 17 percent to 21 percent. This study demonstrates that reducing regional isolation in EMCCs can enhance performance and accessibility with a simulation-based digital twin approach providing a clear and objective method to quantify the benefits.”
Watch Sonik Sikka, senior lean operations manager at Sheppard Pratt, discuss creating a culture of continuous improvement
Report analyzes mobile BPM market
A detailed report assessed the current mobile BPM industry, examining the market’s overall growth, trends, developments and challenges. It also listed the organizations dominating the market including IBM, Microsoft, SAP, ProcessMaker and AgilePoint, detailing market share and concentration information. “We concretely examine not only the leading businesses that have a voice on a global scale but also the regional small and medium-sized businesses that play key roles and have plenty of potential for growth in order to clearly reveal the industry’s competitive situation,” wrote the authors.
The market is changing rapidly with the ongoing expansion of the industry and advancements in technology providing businesses with multifaceted advantages resulting in daily economic shifts, the researchers added. “Thus, it is very important for a company to comprehend the patterns of the market movements in order to strategize better. An efficient strategy offers the companies with a head start in planning and an edge over the competitors.”
Watch Madison Lundquist, principal research lead at APQC, reflect on team structures for process excellence
Data-driven reliability assessment uses process mining to enhance manufacturing systems
Researchers introduced a framework for data-driven reliability assessment of manufacturing systems using process mining. Their aim is to provide a systematic approach to extract, simulate, validate and exploit reliability models to support decisions within manufacturing, they stated.
“Reliability analysis has long been used to understand and predict system behaviors in various industries, including manufacturing, aerospace and energy.” However, the increasing complexity and dynamics of modern systems can quickly outpace manually developed, expert-based models. Conversely, the increasing availability of data from industrial internet of things (iIoT) sensors and advanced control systems enables a more data-driven approach to reliability modeling, coping with the aforementioned issues. “We demonstrate our framework using two case studies based on a flow line commonly found in today’s shop floors,” the researchers wrote.
Register for All Access: Process Mining and Process Intelligence 2025
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