A.I. made Simple
Corporate Training and Consultancy to help you make sense of AI and Machine Learning
corporate workshops
Boost Productivity using ChatGPT
ChatGPT Workshop
Corporate workshop in AI and ChatGPT
Layman's courses on AI and machine learning
Data analyst certification for beginners
Data analyst ai
Customisable workshop for corporates in AI and ChatGPT
Finetuning Large Language Model (LLM)
Data Analyst certification for beginner
About Us
Our Vision and Mission
There is rising demand for data analytics professionals, especially by large corporations. At its core, data analytics is about uncovering hidden patterns in the data, and deriving actionable insights. This is can be achieved using AI and machine learning algorithms. However, the science of data analytics is often not well-understood, and this is complicated by the blatant use of technical jargons and models that are not well explained. We believe that the power of analytics need not be privy to large corporates who can afford to hire professionals with specialised technical expertise. Additionally, given that majority of the people in organisations handling data and business operations may not have technical qualifications, we believe that true transformation will come naturally when everyone - "techies" and "non-techies" - can have a meaningful conversation on how best to interpret data and how to mobilise it to generate insights for decision making.
In that regard, our corporate vision is to facilitate industry transformation and equitable growth opportunities for all using data analytics. Our business mission is to, through education and analytics consultancy services, make data analytics simple and accessible to everyone.
About our brand
Why ANN-Sense?
ANN stands for Artificial Neural Network, a popular and powerful A.I. algorithm that is designed to simulate the way the human brain analyses and processes information.
We incorporated our company as ANN-Sense Pte. Ltd. to underscore our commitment to helping you, through our education and consultancy services, make sense of A.I., and also to use the power of A.I. to make sense of data.
Our Trainer and consultant
Tai Hock Lin (Andy)
Andy is an experienced trainer and consultant in data science and data analytics. Andy has close to 30 years of working experience in many establishments, including universities, startups, and government bodies. In those roles, he has been involved in analysing growth potential of Infocomm companies and have supported many startups, SMEs, and MNCs to tap on government grants to kickstart their digitalisation initiatives. Additionally, he has also coached, account managed, and invested promising startups while they were still being incubated in one of Singapore’s renowned incubation ecosystems, including BLK 71. Prior to devoting full time into lecturing, he was with the Singapore civil service working on economic research and other policy initiatives. Collectively, Andy has acquired unique perspectives of the real-world challenges that corporates and individuals faced, including the limitations and trade-offs of government policies. As a trainer, he delivers analytic courses that focuses on business insights and macroeconomic trends analysis, and incorporates real-world perspectives as case studies. In turn this helps learners better understand and apply acquired learnings into practice. Furthermore, Andy also participates in coaching sessions, and shares his tips and experience to help other data analysts overcome problems they faced in the course of their work.
Aside from ANN-SENSE, Andy also has active teaching engagements with Gen Infiniti Academy, Singapore Polytechnic (SP), Singapore University of Social Sciences (SUSS), Singapore Business Federation (SBF), PSB Academy, and others. He has acquired WSQ Advanced Certificate in Training and Assessment (ACTA) that specialises in conducting courses for continuing professional development.
Andy graduated with a Master Degree in Applied Economics from the National University of Singapore, with a distinguished CAP score of 4.6.