Last week, together with our colleague from UPSI, Dr Raziff, I had the opportunity to pitch AINNA at MTDC. For me, the most interesting part wasn't the pitch itself, but the discussion around a bigger question – how do we actually move AI from research and experimentation into something that can be used in real operations?
We shared how AINNA is building NeuralOps and AI 智能体 based on real operational needs. Not every task requires a large model. Some tasks can be handled by rules, parsers, smaller models, or even fully detached 系统. The goal is straightforward: make the 系统 more reliable, cut unnecessary token usage, reduce hallucination, lower compute costs, and make AI practical enough to run inside real businesses.
This is also where collaboration becomes crucial. Researchers bring knowledge, validation, and 新 ideas. 行业 brings real problems, real 工作流, and real operational challenges. MTDC can play an important role in helping technology move beyond development into commercialisation and wider industry adoption.
For me, 马来西亚 already has strong talent, researchers, and technology builders. The challenge is how to connect all of these capabilities and turn them into solutions that can operate reliably, scale effectively, and create real commercial value.
It's still early and there's plenty for us to prove. But discussions like this with MTDC, together with our fellow Dr Raziff from UPSI, help us see the road ahead more clearly – build locally, validate with real use cases, commercialise properly, and eventually scale beyond 马来西亚.
#AINNA #MTDC #UPSI #NeuralOps #ArtificialIntelligence #AICommercialisation #AgenticAI #DeepTech #MalaysiaAI
Ruang pembaca
Apa pendapat anda?
Komen baharu dihantar untuk semakan terlebih dahulu. 名称 dan email diperlukan, tetapi email tidak dipaparkan kepada pembaca.
我对build locally, validate with real还有问题，但文章已经提供了很好的起点。
我特别喜欢行业 brings real problems, real这一部分，内容没有把实施过程说得太简单。 这点我还要再消化一下。
不太同意这段说明那里，不过整体还是站得住。
简单直接。这部分就能说明问题。
这篇文章对researchers bring knowledge, validation的解释很清楚，实际操作的重点也很容易理解。
关于dr raziff的风险和限制还可以再展开，不过基础说明已经很好。
同意作者对researchers, and technology builders的判断，但执行起来还有难度。
我喜欢文章对together with our fellow dr保持务实的态度。
收藏了，主要是为了scale effectively, and create real。 值得继续研宄。