Suggestions
Brian Cheong
MARO (Formerly known as TTC), ByteBridge and TATA
Brian Hyeon-woo Cheong is a prominent entrepreneur and technology executive, currently serving as the Chief Executive Officer at ByteBridge, a role he held from June 2020 until December 2023. At ByteBridge, he focused on developing a data platform that provides robust tools for real-time workflow management and high-quality data solutions.1
In addition to his tenure at ByteBridge, Cheong is also the founder and CEO of Kompas.ai, which he started in January 2024. This venture aims to offer sophisticated AI agents for complex business tasks, emphasizing collaboration and efficiency.1 Prior to these roles, he founded and led tataUFO, a social discovery platform that evolved into a broader social networking service across Asia.1
Cheong's educational background includes a Bachelor’s degree in Economics and Finance from Peking University, which he completed between 2006 and 2013.1 He is multilingual, proficient in Korean (native), English (full professional), Chinese (full professional), and Indonesian (professional working proficiency).1
His career also includes significant experience in venture capital as an analyst at Softbank Ventures, where he evaluated business plans and assisted in investment strategies for startups.1 Through his various roles, Cheong has demonstrated a strong commitment to bridging technological gaps and empowering organizations globally.
Highlights
Recently, while meeting various people creating AI agents, I've noticed a common problem that I also struggle with myself. Our discussions have made this issue even clearer to me. Most of us, including myself, are well-versed in various technologies like RAG, agentic workflow, and prompting, and all the latest knowledge about LLMs. We understand the vast potential of these technologies.
However, because these cutting-edge technologies can solve so many problems, we tend to think we can develop a solution that solves everything(!). Our extensive knowledge of LLMs and related technologies often reinforces this belief.
The issue is that people find it difficult to buy into the abstract concept of a solution that solves everything. In reality, it's not as simple as solving every problem (there's a difference between having the potential to solve everything and actually solving everything).
As a result, we often end up with a general solution that becomes challenging to position as a product. This is a pitfall I've fallen into as well, despite my up-to-date knowledge. The key is to focus on the most important thing, the one thing you want to do most. Discard everything else and excel at that one remaining thing. Do it differently from others.
The main takeaway for myself, is to narrow our focus to a specific, well-defined problem or solution rather than trying to create a catch-all product that attempts to solve everything.
