Researchers propose process-oriented LLM framework, Everest Group publishes DAP PEAK Matrix® – PEX Research & Reports News

Everest Group evaluating 25 DAP providers asses 25 DAP vendors across two key dimensions – market impact/vision and capability

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Michael Hill
09/30/2024

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:

Researchers propose business process-oriented LLM framework

Researchers proposed a business process-oriented generative AI large language model (LLM) framework for enacting actionable conversations with workers involved in a business process, leveraging retrieval-augmented generation (RAG) to enrich process-specific knowledge. The methodology, outlined in a new paper, was assessed to evaluate its capacity to produce precise responses to inquiries posed by users within a public administration context.

The preliminary study highlighted the framework’s ability to identify specific activities and sequence flows within the targeted process model, thereby providing valuable insights into its potential for improving AI-augmented BPM systems (ABPMS). ABPMS are innovative information systems with increased flexibility, autonomy and conversational capability and can be boosted by LLMs, renowned for their ability to handle natural language processing tasks, the researchers wrote.

Everest Group publishes DAP PEAK Matrix® 2024

Everest Group published the Digital Adoption Platforms (DAP) PEAK Matrix® Assessment 2024, evaluating 25 DAP providers across two key dimensions – market impact and vision and capability. The assessment is conducted globally, with additional regional analyses for Europe and North America. The report examines the competitive landscape and provides enterprise sourcing considerations, highlighting each provider’s key strengths and limitations.

“DAPs are pivotal in bridging the gap between sophisticated technology and user adoption, ensuring that users can effectively leverage their digital tools’ full potential,” wrote Everest Group. “Their importance is magnified by the modern workplace’s challenges. DAPs address these challenges by providing contextual, real-time guidance that shortens the learning curve by offering valuable insights into user journeys to optimize processes.”

Experts from Johnson & Johnson, Siemens Healthineers and Venera explore the critical role of technology during organizational transformation

Register for All Access: Digital Adoption 2024 to explore automating tasks, streamlining workflows and enhancing team collaboration

Process Science opens collection on AI and processes

Springer’s Process Science, the flagship journal of the Process Science Association, opened a special collection on AI and processes. Process Science welcomed submissions on this critical research area that provide leading edge insights into technological advancements leveraging AI-driven process improvements and innovations, potentially fostering interdisciplinary collaboration.

Submissions are open until April 20, 2025 and topics of interest include:

AI applications for processes and process management.
Predictive process monitoring using machine learning.
Automated process discovery with AI.
Process optimization with reinforcement learning.
Natural language processing (NLP) for process management.
Explainable AI in process mining.

AI tech market could be worth $990 billion by 2027

The market for AI-related hardware and software is expected to grow between 40 percent and 55 percent annually, reaching between US$780 billion and $990 billion by 2027, according to new research from Bain & Company. The annual Global Technology Report provides insights on the new waves of growth in the technology sector as a result of disruptions from the fast-changing AI advancements. Three areas of opportunities – bigger models and larger data centers, enterprise and sovereign AI initiatives and software efficiency and capabilities – could enable the AI hardware and software market to come close to a trillion-dollar industry in the next three years.

“Generative AI is the prime mover of the current wave of change, but it is complicated by post-globalization shifts and the need to adapt business processes to deliver value,” said David Crawford, chairman of Bain’s global technology practice. “Companies are moving beyond the experimentation phase and are beginning to scale generative AI across the enterprise. As they do, CIOs will need to maintain production-grade AI solutions that will enable companies to adapt to a landscape that is quickly shifting. Essentially, they need to adopt an ‘AI everywhere’ approach.”

Tariq Munir, PepsiCo, discusses measuring the impact of AI and intelligent automation

Academics explore advanced case notions in object-centric process mining

A new academic paper proposed continuous measures to quantify how correctly an object-centric case notion adheres to a given log and how complex the resulting visualizations are in process mining. “Real-life processes involve interacting business objects of different types,” the authors wrote. “Object-centric event logs capture the execution of activities in such processes. An important step in the analysis of such logs is the identification of sets of objects which characterize an execution of the process, called a case.”

The measures set out by the researchers allow for the conceptualization of the search for new object-centric case notions as a joint optimization problem among the two quality dimensions of correctness and simplicity. “As a result, we can provide a new case notion that significantly reduces complexity in comparison to existing techniques, while preserving relevant object interactions.”

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Topics: AI Process Mining