Environmental intelligence meets AI: A summary from a roundtable of EHS professionals
At a glance
Environment, health and safety (EHS) teams often have access to extensive environmental data across permits, compliance records, monitoring programs, spill records, audits and facility systems. The challenge is bringing that information together so teams can use it to make better decisions.
At a recent executive roundtable on enterprise AI adoption, we explored how AI and environmental intelligence (EI) could help. The discussion showed how connecting fragmented environmental data could give EHS teams a clearer view of what’s happening across their operations, helping them spot issues earlier and make more informed decisions.
Start with the outcome, not the AI
With new AI capabilities emerging rapidly, there can be pressure to find ways to deploy the technology. But the discussion emphasized that this can be the wrong place to start.
Instead, innovation should begin with an outcome. The roundtable explored three broad categories: improving productivity, creating greater intelligence and enhancing the experience of employees accessing and using information.
Applied to environmental management, that changes the question.
Rather than asking, “Where can we use AI?”, an EHS leader might ask: “Where are our people spending too much time retrieving and reconciling environmental information?” Or, “Where could better visibility help us anticipate environmental or compliance issues rather than react to them?”
Those questions can lead to more targeted use cases. The presentation identified examples including compliance reporting, facility and plant intelligence and knowledge assistants that make EHS and engineering information easier to access.
For companies operating across multiple facilities or assets, this approach can also create an opportunity to connect information that has traditionally been managed separately and turn it into broader environmental intelligence.
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