Unfortunately, despite being around for quite some time, there are often misconceptions about what AI can and cannot do.

Indonesia, with its large population and a deep smartphone penetration, presents a huge opportunity for data intensive technology. A combination of the massive amount of data and a significant increase in computing power is a perfect recipe for significantly accelerating the growth of AI applications across different domains.

Unifying and processing huge and diverse amounts of data is surely not an easy task, but this is the first hurdle companies need to clear in order to leapfrog to the next level of the innovation curve.

A 2018 study by McKinsey found that a late adopter of AI would risk losing 23 percent of cash flow by 2030. That is, if you do not start investing in AI today, most likely your competitors will. And the slower the adoption, the later you will be left behind.

At the core of AI lies machine learning, which allows machines to learn from a set of examples. Imagine that, instead of thinking about what rules to tell a machine, we can show examples for the machine to learn how to make scalable decisions. This is a great advantage, as it allows businesses to be more efficient and to scale their operations faster.

AI and machine learning, combined with the science of turning data into insightful information (aka data science), have become more important than ever in the “new normal” to guide innovation based on new market trends and consumer preferences.

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