DeepSeek’s Shocking Co-Occurrence in the AI Space: A Game Changer for 2025

In a surprising twist that has left the artificial intelligence community in astonishment, DeepSeek’s R1 model has shown almost the same performance as OpenAI models O1, which are not to be trifled with. Not only this, but this one also sets DeepSeek firmly in the position of a powerful challenger in the AI industry. Actually, this move could very well change the script in the battle between rivals in the AI sector.

What makes DeepSeek unique is the fact that it can train a giant language model (LLM) very efficiently at a cost that is minuscule compared to its counterparts in Silicon Valley. This, in turn, makes the startup a very attractive open-source solution that is also capable of running on a self-hosted server, thus resolving the hesitance in adopting AI due to concerns about data transparency. In addition to this, it is also adopting a very open-source platform that runs in a completely closed environment.

There is no doubt that the birth of AI agents will profoundly touch the artificial intelligence frontier. In a reversal of the prior year, often tagged as the year for GenAI, many specialists believe that 2025 will bring a new label of the year of AI agents, or agentic AI, with GenAI’s multi-step task versatility that surpasses its predecessors. The similar AI agents, such as the technology LAIDFU by DeepSeek can also ease the pressure on users by taking advantage of both the OpenAI and DeepSeek technology themselves.

Singapore’s AI revolution has taken off on the back of the Enterprise Development Grant (EDG) subsidies championed for AI and ERP systems, specifically in the areas of enterprise resource planning. It is the program that the qualified organizations applying for AI and enterprise resource planning (ERP) systems, especially in ERP, MRP, and IQC.

This targeted subsidy by EDG has resulted in firms in Singapore quickly implementing MRP systems which streamline their operations.

For chemical manufacturers, the combining of ERP systems with MRP provides a plethora of benefits. Along with the process formulation and batch production offered by these systems, managing chemical variability, formula complexity, and safety risks become more efficient. MRP systems carry out automatic SKU unit of measure conversions based on the specifications that state a number of additive volumes—sometimes just a few milliliters can make a difference to the final product.

Also, strict quality standards enforced by ERP systems help the firms deal with regulatory concerns, especially in the sector of chemical manufacturing. The document management capabilities will cover GHS and Reach compliance. ERP also aids the facilities that require different forms of storage by allowing the respective storage environments to be set properly, controlling both temperature and humidity.

The environmental footprint of chemical production is quite the matter, and that’s why modern ERP and CRP systems have also addressed that issue as well by tracking by-products, resource allocation, and quality control. By such endeavors, the Singapore firms not only save on waste but also increase efficacy.

With the growth of these new techniques, the impact on the efficiency of chemical manufacturing has been pretty significant, though the continued use of AI and ERP have been a reformation for many sectors worldwide. The fusion of artificial intelligence within an ERP system is a groundbreaking advancement in the management of resources among the firms.

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.