Validating Employment Candidate Expertise and Reputation at Inserm
Company Size
1,000+
Region
- Europe
Country
- France
Product
- Expert.ai technology
Tech Stack
- Natural Language Processing
- Data Aggregation
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Digital Expertise
- Productivity Improvements
Technology Category
- Analytics & Modeling - Data-as-a-Service
- Analytics & Modeling - Natural Language Processing (NLP)
Applicable Industries
- Education
- Healthcare & Hospitals
Applicable Functions
- Human Resources
Use Cases
- Personnel Tracking & Monitoring
- Regulatory Compliance Monitoring
Services
- Data Science Services
About The Customer
Inserm, the French National Institute of Health and Medical Research, is a public research institute dedicated to biological and medical research and human health. It is the only institute of its kind in France. Inserm employs nearly 13,000 researchers, engineers, and technicians across more than 300 research laboratories. The institute is involved in a wide range of research activities, from basic research to clinical research, and is committed to advancing knowledge in the field of health and medicine.
The Challenge
Inserm, the only public research institute in France dedicated to biological and medical research and human health, faced a challenge in evaluating the quality of job candidates. The institute had to coordinate with up to five external experts to analyze candidates based on their achievements and descriptions of their field of expertise. This process was time-consuming and lacked transparency. Inserm sought an automated solution to verify the expertise of their candidates and shorten the recruitment process.
The Solution
Inserm implemented expert.ai technology to rapidly identify the top experts in their candidate pool. The technology aggregates and analyzes published scientific articles and reports from hundreds of globally respected journals. The talent team simply enters a candidate or project name in the search field and activates the ‘Expert lens’ to view a full list of domain experts. Expert.ai evaluates a candidate’s level of expertise based on the reputation rating of the journals in which they have been published. Keywords associated with the candidate are also extracted which can help quickly verify areas of expertise. The system also presents publication metrics and collaboration networks so Inserm can identify both established opinion leaders as well as rising stars.
Operational Impact
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