Industrial Talk "Getting Real with Data Mining and Machine Learning in Industry"
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Centre for Mathematical Sciences (CSM), Universiti Malaysia Pahang has held a Data Analytics Industrial Talk on 4th January 2022 entitled “Getting Real with Data Mining and Machine Learning in Industry”. The virtual discourse this time has invited Dr. Fairoza Amira binti Hamzah, Data Scientist at STMicroelectronics Sdn Bhd, also as Co-Founder & Chief Operating Officer at Ever AI Technologies. The two-hour discourse was moderated by Dr. Muhammad Na’im Ku Khalif, Senior Lecturer, Centre for Mathematical Sciences, Universiti Malaysia Pahang.
In this session, Dr. Fairoza Amira binti Hamzah shared the requirement for data mining and machine learning knowledge she has practised as well as efforts towards the world of digital work. The need for data and machine-learning technologies under Industry 4.0 is likewise a challenge faced by large mainstream companies. As Industry 4.0 gradually moves into the domain of people's everyday lives, many new applications that are impossible to predict today will be developed. In addition, the framework of data mining and machine learning in PnP (Teaching and Learning) and research activities used are also emphasised.
In addition, the speaker also promoted the women participants to join Women in AI (WAI) society where it is a non-profit working towards gender-inclusive AI that benefits global society. Likewise, the WAI is a community-driven initiative bringing awareness and knowledge through education, events, and blogging where involving women in the field of artificial intelligence, machine learning and data science.
At the end of the session, the participants did not miss the opportunity to ask questions to the speaker as well as share opinions on this valuable session. Click the link to watch the session with Dr. Fairoza Amira binti Hamzah.
https://drive.google.com/file/d/17KpW8JmiZwoXYoZ_4JvghUr0fzhPaWE-/view?usp=sharing
https://drive.google.com/file/d/17KpW8JmiZwoXYoZ_4JvghUr0fzhPaWE-/view?usp=sharing