Senior Reporter
As more advanced technology continues to be integrated into different sectors, senior officials from different energy companies maintain that the judgment and decision-making should be left to human staff.
The discussion was one of several topics raised during the question and answer segment of a panel discussion during the 2024 T&T Energy Conference at the Hyatt Regency conference centre yesterday afternoon.
The theme of this year’s conference is Accelerating Action.
Responding to questions from an attendee on data management using a mobile application, chief operations officer for Atlantic LNG Jean Andre Celestain said having humans as the main operators behind such systems was critical.
He added that access to data is necessary for the operation of facilities and it is critical to ensuring faster, more efficient responses. Celestain noted that disorganised or inaccessible data could take longer.
“At the end of the day, we want humans to make decisions, to leverage their experience, knowledge and capabilities.
“Of course, AI may one day come and help us in that space but the first part about it is organising the data and making the data readily available because many times our people spend hours and hours looking for the data and when they get it, it takes five minutes to make a decision.
“So if our data is organised, first of all we need to ask what do we have? Is it organised in an effective, consistent way and is it easily accessible?”
Celestain said having data that is easy to access would be a direct step towards achieving the theme of the conference of accelerating the responses of companies.
Also responding to the question was CEO of Heritage Petroleum, Erik Keskula, who said while data could allow administrators to make more informed decisions, human expertise and skill made the difference.
“Just because you have data, data’s not enough. Data has to drive you to insight and it’s that balance of bringing that data in, using that human mind that we have to understand it and the tools we now have through machine learning and Artificial Intelligence to help interpret that data. But don’t get into analysis paralysis where we can’t meet the theme of this conference to accelerate capabilities.”