CDTalks - Manufacturing

Discover how to streamline data flow from sensors to real-time analytics and visualization with Azure, enabling proactive strategies like predictive maintenance and anomaly detection that reduce downtime and enhance operational efficiency. Ideal for manufacturing engineers and management eager to delve into Azure's comprehensive data analytics ecosystem. 

  • Learners

    Everyone
  • Materials

    1 Videos
  • Duration

    Up to 160 minutes
  • Documents

    2 PDFs

What's Included?

  • Video Material
  • Document Material
  • Assignment
  • Evaluation
  • Certificate

Course Lessons

Meet Our Team

Miftahul Tirta Irawan
IoT engineer

Tirta, as a Digital Twin Architect and AIoRT Engineer, plays a pivotal role in the Corporate Digital Technology (CDT) department at Kalbe Group. Specializing in IoT solutions, he integrates IoT devices and communication protocols to drive the company's digital transformation. Tirta is responsible for crafting scalable device libraries and backend microservices, support in developing machine learning models to enhance data-driven solutions, and building digital twins to optimize operation efficiency. His work with cross-functional teams has supported CDT in digital healthcare initiatives and contributed to the development of commercial SaaS and PaaS. In this workshop, he will share his expertise on Azure IoT.

Fadinda Shafira
AI Engineer

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. Fadinda has also been involved in multiple projects, including predictive maintenance for sealing temperature and vibration forecasting. In this workshop, she will discuss Azure ML and its applications in manufacturing.

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