Artificial intelligence (EHS)

Can AI positively disrupt EHS?

In case of EHS, the applications that will determine the usefulness of the final product will need a constant supply of data variety and volume. Current digital EHS systems fit this bill perfectly as they are acting as the information conduits of the EHS ecosystem, now.

digital EHS era

Skills for the digital EHS era

Leaders are at the forefront of change and innovation that facilitates a disruption that would allow organizations to remain standing and prosperous in times to come. From the safety, health and sustainability perspective – change demands cooperative attributes from organizational behaviour.

Near-miss-event

Learning from Near-miss events

Potentially high risk near-miss events present challenges to not only the manpower but also the mechanized assets, often both at the same time. An Risk Matrix based systematic approach provides action to the vigilance for which the near-miss app is responsible.