Vibrant and dynamic digital-first telco M1, a subsidiary of Keppel Corporation, is focused on transforming telecommunications in Singapore. M1 provides a suite of services to more than 2 million customers and is Singapore’s first digital network operator. Data analytics have played an essential role in M1’s growth since the company launched commercial services in 1997.

When you were a child, how many times did you use the argument with your parents “but everyone else is doing it” to rip holes in the knees of your jeans or dye your hair blonde or steal beer out of the fridge to take to a party? Only to be countered with “well, would you jump off a cliff just because all your friends did?” Wow, the frustration I felt at such a logical but basic argument.

Congratulations on creating a clean(ish) dataset to use for training! Now while the dataset is stored where it’s accessible to everyone, the distribution itself is a hassle! Local workstations, local GPU machines, and cloud machines (that may be spun up and down without disk persistence) are getting data everywhere. …and to say it is annoying is an understatement!

A casual stroll through recent tech headlines in the past few years makes two things abundantly clear: investment in AI is at an all-time high, and companies really struggle to get value out of AI technology. At first glance, these ideas seem to be at odds with each other: why consider investing in a field that hasn’t lived up to the hype? If you dig into the details, you’ll notice that a gap exists between the development and production use of AI in many companies.