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Asia has advantage in driving AI adoption - Atomiton founder

By Siti Radziah Hamzah

KUALA LUMPUR, Aug 14 (Bernama) -- Asia has the advantage in driving the Artificial Intelligence (AI) adoption as the technology emphasises the indispensable role of an empowered workforce and their domain knowledge, says Silicon Valley-based Atomiton Inc.

Atomiton is a software company providing a next-generation platform for smart systems such as the Internet of Things.  

Its chief executive officer and founder Jane Ren said Asia has a more abundant supply of younger workforce entering the oil and gas industry, who were curious and very eager to acquire new skills, compared to the United States (US) and Europe.  

"Although some developed countries started earlier on this journey, their initial focus was narrowed on accumulating large quantities of data. Asia has the opportunity to lead here by integrating AI into the way people work in oil and gas," she told Bernama via an email interview. 

However, the lack of modern information infrastructure would hinder the oil and gas industry in AI adoption.

"The oil and gas industry has traditionally under-invested in this area. In deploying AI, companies must overcome this by selecting software that’s more integration-friendly," said Ren, adding that the oil and gas players should plan a phased approach to upgrade the information infrastructure.

In the oil and gas industry, AI will be used to augment human operators to make faster, more efficient, more proactive and predictive decisions. 

AI according to Ren, could create positive impacts in a few core areas of oil and gas operations such, for example, to protect the integrity of infrastructure such as pipelines by predicting risk factors and also make predictive supply chain decisions at refineries and terminals by analysing supply and demand. 

Unlike the AI adopted by the technology and finance industries, where the software typically runs on its own, AI in oil and gas is expected to work side-by-side with people in the field, she added. 

"For example, AI can recognize early risk factors of pipeline corrosion, so inspections can be carried out more proactively in targeted areas.  It can be used to diagnose well productivity, so that intervention and planning decisions are made with better cost-benefit analysis," she added. 

Ren pointed out that the oil and gas industry could leverage on AI to be more cost-efficient at between five per cent and 15 per cent cost reduction in various operations with better visibility and insight. 

However, she stressed that AI was not the panacea as the oil and gas industry would need to transform itself in the process of adopting AI as AI demands digital competencies in the workforce, especially in the oil and gas industry. 

"With its predictive capabilities, AI will bring the mindset of making decisions based on what is going to happen, not just what already happened. AI will accelerate the pace of change by constantly analysing new information. 

"All the above are core competencies for the oil and gas companies to navigate the rapidly shifting landscape of an industry under disruption," said Ren. 

-- BERNAMA

 

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