I just finished my first term as a professor at Singapore Management University. I taught an undergraduate course called Computer as an Analysis Tool, which is on business modelling and data-driven decision support. I had about 130 students, in three sections of three classroom hours each per week. I have to say the whole thing was a very enriching experience. Of course, the reasons behind this statement will be expounded on, theorized and hypothesized – this is Unreal Blog, after all.
At some point in our life, we come to accept the fact we are closer to death than life. What lies ahead is definitely less significant than what is left behind. These are the twilight years, and I have come to accept them. With darkness descending over the horizons, and the long shadows of misspent years and evaded human conditions slithering all around me, I peer into the void, into an eternity of silence and dreamlessness. It is almost time.
Teaching is a noble and rewarding vocation. As my sunset career, I have accepted a faculty position at Singapore Management University, teaching data analytics and business modelling at the School of Information Systems. These topics sit well with my entrepreneurial ventures from earlier this year on data analytics and process automation, which were all a part of my coming out of retirement.
Recently I had to talk harshly to my daughter about the responsibilities of family members. Although I would like to think of it as a scolding, all parents of teenagers know that there is no such thing. There are only fights. But it got me thinking about the responsibilities, rights and privileges of family members.
When it comes to the amount of intelligence and experience required, we have a clear hierarchy from data to information to knowledge to wisdom. What we get from raw observation are just data points. We apply some techniques of aggregation, reporting charting etc. to arrive at information. Further higher level processing in revealing interconnections and relationships will give us condensed and actionable information, which we can consider knowledge. But to arrive at wisdom, we need a keen mind and years of experience, because what we mean by wisdom itself is far from obvious. Rather, it is obvious, but not easily described, and so not easily delegated to a computer. At least, so I thought. How could machines bridge the gap from data to wisdom?
The allegorical tale of Ants and Grasshoppers is often used to drive home the inevitable connection between handwork and success, as well as laziness and hardship. Or between talent and riches, indolence and penury. Here is another story that may run contrary to this message.
At some point in their life, most parents of teenage children would have asked a question very similar to the one Cypher asked in Matrix, “Why, oh, why didn’t I take the blue pill?” Did I really have to have these kids? Don’t get me wrong, I have no particular beef with my children, they are both very nice kids. Besides, I am not at all a demanding parent, which makes everything work out quite nicely. But this general question still remains: Why do people feel the need to have children?