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On 30th July 2018, Air Liquide held its first regional student competition in Southeast Asia on the subject of Data Science. Themed “Future Ready,” 6 student finalists selected out of 648 submissions,  were invited to Kuala Lumpur to present their algorithms and demonstrate its robustness, speed and accuracy.

“Future Ready” brought together students from top universities across Southeast Asia, primarily in the field of Data Science, Computer Engineering and Information Technology. It challenged participants to create the most precise algorithms in two separate challenges, either predicting a customer’s gas consumption, or a plant’s energy consumption.

The work by Wang Sheng Liu of Nanyang Technological University, Singapore was recognised as the winner of the “Predict my Customer Needs” Challenge while that of Perry Wang of National University of Singapore, Singapore took home first place in the “Predict my Plant Consumption” Challenge. They overcame challenges from 648 participants and took home a 5-day trip to Paris, including a visit to the Air Liquide Innovation Lab as a reward for their efforts.

The algorithms developed will support Air Liquide’s Digital Strategy in Southeast Asia. In January 2018, Air Liquide opened its Smart Innovative Operations Center for Southeast Asia and the Pacific in Kuala Lumpur, leveraging data to remotely control and optimize the operations of Air Liquide’s production units. In tandem, it continues to develop its digital roadmap to enhance the customer experience of its business partners.

Perry, winner for ‘Predict my Plant Consumption’ noted, “I’ve gained so many insights through the journey of this competition.” Wang Sheng, winner for ‘Predict my Customer Needs’ continued, “I’m  very excited to pursue my career in Data Science. I’m very grateful to Air Liquide for providing us with this invaluable experience.”

NG Boon Hai, Vice President of Southeast Asia Cluster said: “With data science playing a crucial role in Industry 4.0, we are glad to collaborate with young, talented students who gave fresh insights on this topic. This competition is in line with our open innovation approach, as we heavily rely on big data and predictive analytics to better serve our customers and to run our plants efficiently.”

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