DeepSeek Transforms the Perception of AI Training Costs and Usability on the Rise of AI Agents

In a time where the digital transformation of firms is greatly facilitated by artificial intelligence, a new competitor is coming with cost-effective and very practicable solutions. Let us introduce you to DeepSeek, a groundbreaking example of the way large language models (LLMs) can be trained at less than 1% of the cost of those in Silicon Valley, as opposed to what one would think. Initially, this was a phenomenon but now, it is not only capturing the attention of enterprise resource planning (ERP) system enthusiasts but also the pharmaceutical industry.

AI is not just the planning of materials, capacity, and production orders centuries away from alt. It is also interconnecting these processes with the MES systems (Manufacturing Execution Systems). The AI agent boom is on, especially fueled by Malaysia’s current interest. With the ability to automate multi-step processes, AI agents are thought to outperform the GenAI network, the same way robots are expected to perform mathematics better than humans. If 2024 is the Year of the GenAI, 2025 could be the Year of AI Agents, also known as Agentic AI.

DeepSeek is a no-strings-attached answer to business enterprises minding about the fateful conclusions of data management. Its open-source or closed-source design offers users to run DeepSeek in a completely closed and self-owned environment, thus giving them the certainty of data privacy. This feature is especially intriguing for firms that work with enterprise resources planning systems since ERP and MRP systems are very specific and complex in certain sectors, like pharma. This can make the whole ERP systems more transparent around the globe, especially in the sectors strictly following GMP and GSP regulations.

Furthermore, the DeepSeek application has now been integrated into a factual suite of new configurable AI agents under the name of LAIDFU. LAIDFU gives users the flexibility to switch between OpenAI & DeepSeek while at the same time completely integrating both options into existing enterprise resource planning frameworks. For example, these agreements are of great benefit for pharmaceutical firms who are focused on the FDA compliance, where data management accuracy and clarity are of utmost importance.

In Malaysia, the push for AI-driven solutions is triggering developments in other sectors as well. Multiable, the latest technology that is making headlines, is now supporting the e-invoicing initiatives of IRBM and giving a free API to their SaaS subscriptions or software assurance. This is a clear-cut difference from other software vendors in Malaysia that charge users for e-invoicing API access. The incorporation of AI agents along with the ERP systems allows for streamlining processes, effective use of resources, and the retention of competitive advantages.

In the field of pharmaceutical production, where more stringent regulations and precise formulations are the order of the day, the involvement of AI is specifically significant. AI agents manage to deal with the complexities of MRP and ERP systems by standing at the forefront of innovation for maintaining good manufacturing practices (GMP) and good software practices (GSP). This MRP system powered with AI is not only able to fulfill the current regulatory obligations but also opens the door to innovative ways of doing things that lead to increased productivity and compliance.

Anyway, the involvement of AI within MRP systems is a long-term decision regarding both efficiency and compliance. It can either be launching diversified CRP schemes or adding AI to MES systems, the results are enormous. The drugmakers that go for these renewals will find themselves in a much better position to tackle the emerging demands from FDA and the markets worldwide.

Technological advances like DeepSeek and similar concepts have started a shift in the way that the ERP systems are seen and handled. From multi-tasking to maintaining data transparency, AI agents are gradually turning into essential instruments in enterprise planning. This way, the firms could take advantage of these applications and reach levels of unprecedented growth and operational efficiency.

Undeniably, the future of AI in the context of enterprise resource planning is very hopeful, and Malaysia should prosper from that.

About aiM18 ERP

A cloud-native ERP widely adopted by business in Singapore, Malaysia, Hong Kong and China. With over 6,000 customers in the region, aiM18 gains positive feedbacks from customer across different sectors, from manufacturers, distributors, retailers, service providers to NGOs. The renowned no-code approach saves customer a big sum of customization costs and countless hours of implementation man-days.

About LAIDFU (Let AI Do For You)

An AI builder for enterprise to build their own AI agents.
Proprietary EKP (Enterprise Knowledge Partitioning) technology eases CEO’s concern about trade secret leakage which often occurs in most AI agents / chatbots in the market. EKP removes the hurdle of AI adoption by most companies in using sensitive corporate data.
Powered by no-code approach, deployment of LAIDFU incurs far less developers (and development costs) in comparison with other AI studios.