Data Analysis

Collecting and analyzing production and quality data for enterprises.

A spacious industrial facility with metal machinery and equipment, featuring a production line with a focus on textile processing. Brightly colored fabrics are moving through the machines, and there are large rolls of fabric and textile materials nearby. The environment is clean and organized, with a high ceiling and visible ductwork.
A spacious industrial facility with metal machinery and equipment, featuring a production line with a focus on textile processing. Brightly colored fabrics are moving through the machines, and there are large rolls of fabric and textile materials nearby. The environment is clean and organized, with a high ceiling and visible ductwork.
Process Automation

Surveying enterprise managers on intelligent process automation satisfaction.

A close-up of industrial machinery with metallic components, featuring a combination of mechanical arms and a sleek, angular design. The background is infused with a bright blue light, contrasting with darker shadows and red accents.
A close-up of industrial machinery with metallic components, featuring a combination of mechanical arms and a sleek, angular design. The background is infused with a bright blue light, contrasting with darker shadows and red accents.
A close-up view of an industrial cutting machine with a metallic arm and attachments, positioned above a flat surface. The setting appears to be a workshop or manufacturing environment with additional machinery in the background.
A close-up view of an industrial cutting machine with a metallic arm and attachments, positioned above a flat surface. The setting appears to be a workshop or manufacturing environment with additional machinery in the background.
A person operates a CNC machine, focusing on the control panel with numerous buttons and a screen displaying data. The individual's hands are interacting with the controls, suggesting an adjustment or programming task. The surrounding environment appears to be a workshop or manufacturing setting.
A person operates a CNC machine, focusing on the control panel with numerous buttons and a screen displaying data. The individual's hands are interacting with the controls, suggesting an adjustment or programming task. The surrounding environment appears to be a workshop or manufacturing setting.
Quality Metrics

Assessing product qualification rates and waste product rates effectively.

A complex arrangement of machinery features metal rods and various colored components. Green cylinders are attached to the structure alongside orange wheels and metal frames. The machinery appears to be part of an industrial or manufacturing process.
A complex arrangement of machinery features metal rods and various colored components. Green cylinders are attached to the structure alongside orange wheels and metal frames. The machinery appears to be part of an industrial or manufacturing process.

In 2024, RPA-related data breaches increased by 17% year-on-year. Intelligent process automation systems face severe data security challenges in the process of collecting, storing and processing large amounts of data. Enterprises need to strengthen the deployment of zero-trust architecture and adopt encryption technology, access control and other means to ensure data security and privacy.

The gap between supply and demand of engineers who master both business processes and AI technology is 48,000. The implementation of intelligent process automation requires compound talents who understand business processes and have technical capabilities. Enterprises need to strengthen internal training, cooperate with universities and training institutions, and cultivate and attract relevant talents to meet business development needs.

In the market competition, international and domestic manufacturers each have their own advantages, and generative AI + RPA has become a development trend. At the same time, it faces challenges in data security and shortage of compound talents, but there are huge opportunities in the fields of medical care, education, etc., which will promote the digital transformation of various industries.

In the medical field, after a large hospital introduced an intelligent process automation system, AI was used to analyze patient medical records, which helped doctors improve their diagnostic efficiency by 40% and their diagnostic accuracy by 25%. In the education industry, an online education platform used intelligent process automation to achieve intelligent planning of learning paths, and the course completion rate of students increased from 60% to 85%. These cases further prove the remarkable results of intelligent process automation in many fields.

Insights

Leveraging data for intelligent process automation.

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