A Strategic Approach to Maximize the Potential of AI

by Jeow Li Huan

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How to make AI work for you? Hiten shared his experience that implementing AI tools require project planning:

Followed by implementation cycle:

  1. data preparation
  2. technology selection
  3. integration
  4. user testing
  5. pilot deployment
  6. user training
  7. scaling
  8. maintenance

In our experience, many companies underestimate the ongoing cost of user training and maintenance, which continue for years long after the implementation of the tool. We believe that during technology selection, it is crucial to consider ease-of-use and ease-of-maintenance.

At PBrain, we are always innovating to make our platform easier to use and maintain. If you are curious about our approach, we would love to chat with you! Send us a message to learn more.

AI implementation

By Hiten Dhruv, CFA

My latest article draws on my experience of implementing an AI-based insurance solution, with my 2 cents on how best to get started using such tools in your firm.

Before you dive-in headlong into AI’s wild west, it is important to note that while tools like ChatGPT are great at synthesizing large volumes of data, it is the quality and value of the information that are paramount to success. In other words, never forget…

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