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Spotlight
Collaborating and Synergizing Create Excellence for Our Customers
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As our organization focuses on driving operations through innovation and digital technology, a vital engine is undeniably the Data Science team that helps connect data, technology, and business together. As the team collaborates with every function across the organization, Passionate Experiences’ interview with two Data Science team members reveals insights into their work, their inspiration, and their role in our company’s pursuit of excellence for customers.
Kanlaya Rattanyu
AI and Advanced Data Manager
“Data Science operations handle use cases related to AI. Supporting all business groups within our company, we have categorized them into 10 functions—Customer and Market Insights, Packaging Design & Product Reliability, Production Planning, Raw Material Sourcing, Production and Process Optimization, Asset Maintenance, Quality Control and Inspection, Warehouse and Logistics, People, and Finance. Our team collaborates closely with staff in these functions to make positive business impacts together.
“For example, when Maintenance asked us to integrate AI into the monitoring and decision-making process specifically Vibration Analysis or Motor Current Analysis, our goal was to ensure our AI tools can detect any issue before a breakdown in downstream stages. We have now rolled out our AI-enabled system to various plants including those in foreign countries and downstream.
“There is no rosy path in a data science project. But we keep going because we know impacts from our efforts will be well-worth. That’s why no matter what we come across our path, we strive hard and harder to push through. Our passion is rooted in business impacts we know will happen from our project. We also see every challenge as an opportunity for self-improvement.”
Pawitra Nopsuwan
Data Scientist
“Data science supports Customer and market insights with a diverse range of customer-related tasks, including finding new customers. AI can help analyze the list of registered businesses and identify which ones may buy from us. Following the identification, our sales team can reach out to prospective customers with a higher success rate. Data science, moreover, supports customer analyses. While tracking customers’ changing behaviors, we can also alert relevant teams as to which customers have the likelihood of stopping buying. We can also provide customer-care guidelines.
“The challenging part about this job is working with various new people, because it takes time to learn others’ work style and approach, fine-tune, and visualize the same picture. Currently, our company has encouraged all employees to learn about AI via various courses and to apply AI to their jobs. With greater understanding in AI and more widespread AI applications, communications flow much smoother.
“I am happy working because I can see how my output benefits our organization. My job also provides me with opportunities to exchange knowledge and perspectives with colleagues. Such discussions bring us closer. So, we can talk about various kinds of things. That’s kind of making me want to come to work every day.”