BD Like a Pro(mpt): AI Hacks for Smarter Workflows
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Learners
BD Forum Audience -
Contents
Presentation & Study Case -
Duration
Up to 120 minutes -
Documents
5+ PDF
What's Include?
- Presentation slides
- Study Cases
- Guide book
- Submission
Course Lessons
Meet Our Team
Edwin Simjaya is an AI expert and currently serves as the Head of AI & Software Center. With over 15 years of experience in software engineering and notable achievements in the field, Edwin has established himself as a professional in AI.
Notably, he led the implementation of an AI Augmented Nutrigenomic Algorithm utilizing Large Language Models (LLM), revolutionizing the field. Additionally, Edwin manages Kalbe Digital University content and implementation and has delivered key projects for internal Kalbe.
Tamaria Artpinkan currently serves as the Product Innovation for Corporate Digital Technology. Armed with a Bachelor's degree in Management Information Systems, she possesses a solid foundation in leveraging technology to drive business growth. Her skills in product management and UI/UX lead to excellent user experiences and innovative digital solutions. She also handles CSV Documentation and supervises UI design for several products and systems.
Fadinda, an AI Engineer at Kalbe Group, brings extensive expertise in manufacturing and AI/ML to her role. She has led AI/ML application training for Strategic Business Units (SBUs) within the Manufacturing 4.0 framework, fostering digital transformation. Fadinda has advised and collaborated on AI use cases such as demand, temperature, and vibration forecasting, enhancing operational efficiency. She has designed and implemented courses on AI/ML for Manufacturing 4.0, holding training sessions for Kalbe SBU.
Sasha Annabel is an intern of the AI Engineer team. She has a passion for Research & Development environments, with current contributions on applications related to Natural Language Processing. She majors in Computer Science at Universitas Gadjah Mada, where she deepens her interests on Machine Learning, Deep Learning, and Pattern Recognition.
Ignas is an AI Engineer Intern at Corporate Digital Technology, with a strong interest in Machine Learning, Deep Learning, and Natural Language Processing. In his role, he focuses on data exploration and solution development to optimize manufacturing machines, including experimenting with scalable deployment strategies for models using tabular data. He actively bridges knowledge gaps by educating non-AI colleagues on core machine learning principles and AI prompting techniques to foster cross-functional collaboration