Artificial Intelligence for Health and Safety
Improve your company’s environmental, health, and safety (EHS) practices and performance
Identify your company’s top hazardous activities, locations, out-of-compliance practices, and deviations from EHS standards using AI for health and safety, minimizing the probability of an incident or lost time injury, and contributing to improved staff efficiency.
What is AI for health and safety?
AI for health and safety harnesses the power of natural language processing and machine learning (ML) technologies to identify potentially hazardous workplace conditions and practices by extracting insights from unstructured information sources, e.g., incident reports, observation cards, etc.
AI for health and safety in oil and gas
AI for health and safety in the utility industry
AI for health and safety in the manufacturing industry
How does AI enable health and safety?
Your health and safety performance directly affects worker productivity and efficiency, as well as the costs associated with accident claims, regulatory non-compliance, and staff morale and retention.
The scope of health and safety includes not only workplace safety but also your culture and day-to-day training and work practices. AI-based technology can automate the identification and prioritization of hazards or unsafe practices/locations, enabling your managers to proactively address them and reduce the chance of incidents.
Drive greater productivity and enhance profitability
Workers are more productive and efficient when they operate in safe environments using safe work practices. Minimizing lost work time due to accidents allows workers to function in a more normal, less hurried mode, which in turn further reduces accident risks.
Enable your safety managers to be more productive and effective
SparkCognition’s AI for health and safety solutions minimize the need for company manager oversight and analytical expertise, allowing them to focus on their core responsibility, i.e., addressing safety and compliance concerns as quickly and effectively as possible, and communicating these safety issues and resulting changes to staff.
Improve employee satisfaction and retention
Companies that focus on optimizing worker safety and the environmental quality of their workplaces are more attractive to employees and contribute not only to reduced incident costs/claims but also higher employee retention and reduced turnover and retraining costs.
AI for EHS solutions across industries
AI for EHS in the oil and gas industry
Protect your employees from unsafe work environments. Proactively identify hazards, whether from unsafe workplaces or unhealthy environments, and equip your safety managers to be as effective and efficient as possible in their work.
- Flag and modify unsafe work practices.
- Identify and label unsafe locations.
- Ensure compliance with government environmental regulations.
AI for EHS in the power/utility industry
Identify, prioritize, and eliminate hazardous conditions and work practices in the utility industry, whether in power generation plants or outdoor T&D work.
- Maximize staff efficiency by minimizing accidents.
- Identify hazardous work practices and modify as needed.
- Reduce accident claims and regulatory fines/costs.
AI for EHS in the manufacturing industry
- Improve worker satisfaction and retention.
- Reduce lost time and rework inefficiencies.
- Enhance company reputation as a place to work.
How SparkCognition delivers AI for health and safety
SparkCognition AI for health and safety solutions use our proprietary natural language processing algorithms to analyze your existing unstructured EHS documents (incident reports, safety observation cards, etc.) to scan for, flag, and prioritize potentially hazardous conditions, locations, and work practices.
Leveraging our AI for health and safety methodology is straightforward and effective. The process is guided from start to finish by SparkCognition AI and domain experts, with minimal expertise or time requirements from your staff.
Step 1: Identify relevant written documents, reports, etc.
Obtain and ingest unstructured written documents such as incident reports and observation cards, equipping the AI/ML models to identify and flag potentially unsafe or environmental non-compliant situations, practices, or work locations.
Step 2: Use natural language processing to analyze unstructured written documents
Use NLP models to understand, extract, and analyze detailed information from unstructured sources, such as incident reports, observation cards, etc. This allows managers to identify and flag safety issues even more thoroughly by working from the widest possible set of features.
Step 3: Identify and prioritize potential hazards and flag for managerial follow-up
Assess insights from every document, report, etc. to identify, flag, and prioritize any work practices or locations that look potentially unsafe for subsequent corrective action by safety supervisors.