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What are 5 Best Process Mining Algorithms to Consider?
Process mining algorithms are examples of how machine learning process mining applications can facilitate process discovery. TThey help clean the required data and generate process models with different strengths and weaknesses. Technical professionals and developers must decide which algorithm to use based on the data and models of the processes they want to automate.
Best 22 Automated Process Discovery Tools in 2025
Automated process discovery tools leverage machine learning algorithms, computer vision and deep learning to observe the execution of real-life processes. Embarking on an automation journey with these tools can significantly enhance business efficiency and productivity.
IoT Banking Industry: Benefits, Challenges & Recommendations
The use of IoT has grown across industries. The global Internet of Things (IoT) in banking industry is projected to be more than $90 billion by 2028. With a need for extensive data, IoT can aid processes like credit rating, loan applications, and fraud detection.
Process Mining in Education: Use cases, Pros & Cons ['25]
Covid-19 forced countries to adopt online or hybrid learning to meet expected targets, but many still struggle with the transition. While some countries, like Italy, saw a 4.7% improvement in student progress with online tutoring, others failed to achieve similar results.
Top 20 AI Chip Makers: NVIDIA & Its Competitors in 2025
Based on our experience running AIMultiple’s cloud GPU benchmark with 10 different GPU models in 4 different scenarios, these are the top AI hardware companies for data center workloads.
Audio Annotation in 2025
A subset of data annotation, audio annotation, is a critical technique for building well-performing natural language processing (NLP) models. These models offer numerous benefits to organizations, including analyzing text, speeding up customer responses, and recognizing human emotions. In this article, we take a deep dive into audio annotation to understand its importance for businesses.
![Process Mining in Banking: Top 12 Real-Life Use Cases ['25]](https://research.aimultiple.com/wp-content/uploads/2021/12/Process-Mining-in-Banking-Use-Cases-190x52.png.webp)
Process Mining in Banking: Top 12 Real-Life Use Cases ['25]
Process mining in banking can manage and optimize the bank product processes, improve key performance indicators (process KPIs) and increase customer satisfaction by discovering automation opportunities, managing the change and complying with regulations.
Top 5 Technologies Improving Insurance Fraud Detection
According to the FBI, insurance fraud (excluding health insurance) costs more than $40 billion annually in the U.S. alone.(Insurance Fraud. FBI. Accessed: February/11/2025.) Technological tools such as artificial intelligence (AI), the Internet of Things (IoT), machine learning, and blockchain can be used by insurers to more effectively detect and prevent insurance fraud.
Digital Transformation Construction: Challenges & Case Studies
The construction industry is one of the largest sectors globally, with annual spending on goods and services reaching into the trillions. Despite its vast scale, this industry remains one of the least digitized. Construction companies are now becoming more aware of the potential and plan to invest more in their digital transformation (DX) efforts.
6 Process Mining Trends to Watch for in 2025
Process mining has evolved into a mainstream approach to discover and improve business processes, and its market is projected to grow by 40-50% by passing $1 billion in 2022. It is being applied to numerous sectors and departments, ranging from healthcare to logistics.