- Suggestion to get information from the EU AI Act ,
- Effective AI implementation starts with a clear, planned strategy
The Malaysia Digital Tech Adoption Summit on September 12th attracted attention for the transformational power of AI across sectors, from complex system needs to functional software like fraud protection. AI is now reshaping the method companies operate, driving progress and efficiency.
As Malaysia positions itself as a hub for electric technology, there’s growing acknowledgment that AI is not just a forthcoming resource but a present-day catalyst for change. By supporting the country’s AI ecology and assisting it in strengthening, MDEC’s having the summit shows its commitment to promoting its development as a leading online economy, contributing to the creation of a more aggressive and tenacious economy.
A section,’ Navigating AI Landscape ‘ was held as part of the mountain.
” Today, big corporations and hyperscalers are building 100-megawatt data centres over a period of eight weeks”, said Fahri Aminudin, resource director of GDS International, speaking at the ,
GDS Holdings Ltd is a China-based designer and operator of high-performance info centers. In 2023, it inaugurated the Johor college of Nusajaya Tech Park.
Tiensoon Law, the lieutenant CEO of Innov8tif, and Tan Aik Keong, the CEO of Agmo Group Bhd, who accompanied Fahri, who both shared insights into how their businesses are navigating AI inclusion and driving innovation in their respective areas.
Moderated by Ts. Fadzli Abdul Wahit, Senior Vice President of MDEC, the board delved into the various AI software, strategies, and challenges faced by organizations striving to keep pace with this revolutionary technology.  ,
In GDS’s situation, Fahri was referring to their position in the Artificial environment. ” We are preparing our network in terms of energy, in terms of cooling, as well as the GPUs and CPUs for these hyperscalers”.
” In the DC ( data centers ) business today, things have to be done as quickly as big companies and hyperscalers are building 100-megawatt data centers in over a period of eight months,” he said.
A hyperscaler is a business that runs large information centres and offers colossal amounts of computing power, usually via cloud services. These businesses support considerable system for large-scale information processing, storage, and control.
Additionally, Fahri emphasized how crucial energy and cooling are for tomorrow’s data centers.
” 10 years ago, in terms of cabinet cabinets for example, it was just around six to seven watt. Now, we’re talking about a 100-kilowatt cabinet to process data to support AI”, he said.
” We’re talking about 100 times faster, so we need to include enough strength”, he added.
Implementing AI implementation throughout an institution
When asked for his view , on what are some important success factors in terms of implementing AI , implementation throughout an institution, Aik Keong said that there are some items that are needed.
” You need to start with identifying your goals and what are your concern remarks”, he said. You may address the threats or automate some methods once you find them.
He even brought up the importance of checking data quality and availability.
” Maybe you might not have the information with the appropriate digital format”, he added.
When the data has been collected, it is necessary to set up the appropriate orders and decide whether any modification is necessary. For example, if you need a legal model AI, you do n’t have to use a large language model, as a small one would be more efficient.
Tiensoon agreed, saying that while” AI is the biggest phrase of today, many of its real-world programs are built on smaller types thanks to machine learning and deep learning, not always the standard AI applications that we are using now.”
He added that because LLMs ( large language models ) are receiving a lot of attention, more people are turning into experienced AI users, which lowers the barrier of entry into creating AI.
” That’s probably the reason why a lot of businesses, like technology firms and advertising agencies, are embracing conceptual AI and LLM to produce a lot of useful software,” he said.
Last but not least, Aik Keong also stressed the importance of a strategy. Implementing AI is a lifelong quest because it continuously evolves, so you have to think of it like a product.
He emphasized that a successful AI execution begins with a clear, organised approach as businesses increasingly look to it to improve operations. ” To adopt AI properly, you first need to determine your objectives—what are the issues you’re trying to solve? Second, make sure you have access to reliable data, as lacking reliable electronic data can be a big hindrance. When you’ve secured your files, you can decide whether flexibility is needed. For instance, domain-specific AI, like legitimate AI, does not require huge models, a smaller design trained on your data could be more successful”.
Aik Keong emphasized that the adoption of AI is a incremental process:” The next step is to assign an Artificial lead to handle training and adoption.” Additionally, management is important, as is creating a concise strategy for the next three years.
Agmo Group’s strategy emphasizes the need for businesses to have long-term, structured development while also being functionally and organizationally available for AI.
AI recommendations and addressing problems
There are issues raised in regards to the risks and challenges that AI poses in terms of both morality and security because it is quickly expanding and revolutionizing companies worldwide.
While Innov8tif does n’t have its own set of guidelines, Tiensoon said that they are using guidelines from AI Verify Foundation, a non-profit organisation established in June 2023 by the InfoCommunications Media Development Authority of Singapore ( IMDA ), with the aim to create international guidelines for AI’s responsible, secure, and innovative use.
” Some of its resources can help you analyze your data collection, mainly the organized people, and they’ll be able to inform you whether they’re biased or fair”, he added.
He even made a point about AI’s concerns about data privacy regulations, and he hoped there would be clear rules for how to use Circuit numbers and phone numbers in various companies.
” With the roll out of e-invoicing for all firms till July next year, Circuit numbers are going to be circulated everywhere”, he said.
Aik Keong is aware of the issue and cited the EU AI Act as an example of an AI regulation model that was put into place in August.
First, an AI technique has to follow regulation compliance.  ,
Aik Keong said,” If your AI is a high-risk structure, as in it adversely affects safety or basic rights, it must go through this compliance evaluation before it could even enter the market to maintain transparency.”
Secondly, for general purpose AI models, they’ll need to go through things regarding documentation, they’ll need to have a summary of its data training to ensure it is n’t in the high-risk category.
Thirdly, its standards are applied internationally ( both EU and non-EU entities ) as long as AI solutions are used in the EU, the Act applies.
Due to the fear that AI will overtake people, the prospect workforce has become concerned.
However, Aik Keong presents the counter-argument that people that do n’t have AI skills wo n’t be replaced by AI but by those who use it.
Agmo believes that he is also focused on educating businesses for AI-driven prospects in addition to offering AI solutions. Through its AI Academy, the business monitors companies ‘ levels of technological eagerness and offers customized training programs to advance their skills.  ,
This alternative approach ensures that the business is not only adopting Artificial solutions but is also developing the internal capacity to make the most of it.
Fahri on the other hand understood the concern that some people could n’t adapt and learn machine language, C-language, Python because “it’s too late”.
” Therefore, we need to have more innovations be it software, data centres, providing power, because of pay rate that data facilities are offering is on a much higher level, so that’s why we set up in Singapore, just to narrow the gap of the money, which is what drives ability as well”, he said.