Artificial intelligence (AI) in construction is not just a theoretical concept. Its practical applications drive value creation at the business level, including employee safety, which remains paramount on a construction site.
Many companies are using the latest security innovations and technologies, including predictive analytics, to help manage security risks on projects. Using project location data and complex algorithms to assign a risk rating to workplaces indicates the likelihood of a security incident occurring based on certain observed conditions that correlate with past incidents.
Predictive analytics can identify situations with a higher risk of a safety incident occurring. These tools can predict events much like weather reports predict hazardous conditions before a storm hits a community. When the risk of safety incidents is elevated, project teams can take the necessary steps to mitigate those risks and potentially prevent injuries and save lives.
Adopt a proactive approach
Recent advances in predictive analytics are helping organizations move from reactive to proactive. By employing innovative AI solutions and measuring everything they do, companies can better track security outcomes and progress.
Building safety technology operates across multiple disciplines. Commercial construction, energy, oil and gas, and manufacturing all benefit from AI and predictive analytics.
A new ebook available for download entitled "Construction and Artificial Intelligence: Driving Better Outcomes with Data" addresses how the art of construction merges with data science to mitigate risks and improve decision-making.
Artificial intelligence has enormous potential to help engineering and construction organizations achieve this goal by leveraging new predictive insights from project data. The ebook enables readers to understand that historical data is a treasure trove, offering an essential starting point for deeper analysis.
While security is a major concern, other predictive aspects of AI analytics remain important to decision-makers. This is where AI can also help reduce risk in projects:
• Program
• Cost
• Health
• Quality (risk of design review/version control of design document)
Data-driven decisions are important, and with easily accessible data powered by AI, we can begin to see what the future holds and decide what actions to take today. Using data is one way to stay ahead of the competition. But as technology evolves in the workplace, it will also minimize errors, reduce risk, and perhaps most importantly, keep employees safe, since a flawless safety record should be the goal of every contractor.
Source: https://blogs.oracle.com/oracle-latinoamerica/.
