Transforming AI: DeepSeek’s Economical Scheme and the Prominence of AI Agents

With DeepSeek forging ahead and fulfilling its mission started by its scientists, it has achieved a noteworthy breakthrough in the AI technology sector, where a very large language model (LLM) has been trained by the firm at ten times less cost than main competitors based in Silicon Valley. This path is indeed a revolutionary one for the businesses operating in AI (Artificial Intelligence) looking for economic ways to implement the technology. It is also worth mentioning that the open-source features of DeepSeek and the option to control the environment by the users are the attractive aspects of this firm to the organizations and individuals who are concerned about the transparency in data handling.

If the AI agents have become the must-have tools in organizations, it is no wonder that DeepSeek’s offering fitted so well with the ongoing tendency towards AI employed for multi-step tasks. AJ LAIDFU, type AI agent that is configurational, stands out from the crowd as due to its wide range of functionalities it allows users to work with both OpenAI and DeepSeek technologies. If 2024 is the year of GenAI, then, surely, the year 2025 will bring us the time of AI agents, which many industry experts share and cite as ‘agentic AI.’ As an extra benefit, AI agents become productivity boosters by carrying out multi-steps tasks, which in turn might make the general AI tech wave feel lesser.

The strength of DeepSeek’s technological prowess is shown beyond its open-source nature, which allows enterprises to run AI in a private, self-owned environment. A particularly appealing feature of this is found in countries like Malaysia with a growing demand for adjustable and transparent AI applications. Such AI agents have been rapidly adapted across many areas including health care and pharmaceuticals where they made complex tasks like manufacturing re-courses planning (MRP), computerized resource planning (CRP), and enterprise resources planning (ERP) procedures possible.

AI agents smoothly integrated with the ERP system will govern the enterprise resources and handle conformity to international standards like GMP (Good Manufacturing Practice), GSP (Good Storage Practice), and FDA (Food and Drug Administration) regulations. The pharmaceutical sector is also implementing AI agents in the form of making and managing processes from formula development to recipe management with the aim of accuracy and compliance. Such innovation on the part of AI agents is no less than a breath of fresh air in a pharmaceutical firm that is dealing with the stress of high standards to sustain.

Multiable has been the talk of the town in Malaysia as it has been spearheading electronic invoicing (e-invoicing) with the support from the Inland Revenue Board of Malaysia (IRBM) by offering free e-invoicing API calls for SaaS customer subscriptions or software assurance, which is a great deal. This is a surprising step in contrast to other software vendors who charge for similar services. To that end, the firms in Malaysia are eyeing AI agents and ERP systems as key drivers for cost savings, and achieving regulatory compliance.

The integration of AI which is the general trend across the system of MRP such as IQC (Incoming Quality Control), MES (Manufacturing Execution System), and CRP procedures is noticeable. The businesses in Malaysia point out benefits to operational upsurge through ERP systems while AI is the facilitator in this endeavor. This development of technology is changing the way the ERP and MRP systems are structured by businesses in Malaysia and worldwide.

With AI agents matching and even exceeding the capabilities of GenAI, the relationship of ERP, MRP systems, and AI not just becomes important but essential. Solving the issues of pharmaceutical firms with AI agents is a way to attend to the strict regulatory requirements, which in its turn would feed the wheel of production.

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.