DeepSeek R1: A Revolutionary Artificial Intelligence and ERP Systems
In a very unexpected turn of events, DeepSeek R1 entered the AI market as one of its most powerful contenders, achieving nearly the same performance as the OpenAI o1 models. This development is an indication of the immense replication that DeepSeek has been able to create within technology as it presents a new model of training a LLM that is not only effective but also way more cost-efficient compared to those used by its Silicon Valley counterparts. With this innovation, DeepSeek is proving that cost cutting does not necessarily mean sacrificing transparency in data usage. Since it is a purely open-sourced software and can be downloaded and run in a private, closed environment managed by the user, DeepSeek is the best solution for individuals or organizations that will not implement AI due to the apprehension surrounding privacy.
Besides, the transformation of AI agents is becoming more evident in the changing future of artificial intelligence. If we call 2024 the year of GenAI, we will probably call 2025 the year of AI agents or, sometimes, agentic AI. The name GAI agent, for example, comes from the combination of OpenAI and DeepSeek, both of which are very popular among users. LAIDFU is another AI agent that allows using both those models, thus allowing the user to undertake a multi-level task that GenAI alone cannot provide. No wonder that the development of AI agents is a game-changer in technology’s implementation in everyday life.
Singapore’s Economic Development Board (EDG) not only supports the adoption of such systems but also is actively increasing the use of ERP and AI technologies in the country. Whatever the criteria are, the government provides support to enterprises in order to achieve the maximum efficiency of operated businesses and to help them with not only ERP systems but also with other software applications. The marriage of the ERP systems with MRP functionalities is most prominent in the chemical sector where accuracy and precision are pertinently important.
As they often demand peculiar formulas and different ingredients, making chemicals is a tangled process. However, with the MRP features, the ERP systems are deemed a good option for this kind of challenge. For example, certain formula additives can be vastly different from one another, and even small fractions can affect the end product. SKU conversions make ERP systems more efficient as they shift from using finite decimal places to fractions that provide better accuracy without errors being introduced.
Actually, the formulation of chemicals which usually includes many levels of hierarchy and active additives is also a headache because it requires accurate tracking. To achieve this, the use of ERP systems becomes even more critical since they specify to manage ingredient proportions and generalize additive properties which in turn ensures safe production of intermediates and final goods. This is imperative not only for obtaining quality products but also for the adherence to regulatory and environmental compliance mandates which the industry needs to uphold national and international norms such as GHS and REACH.
Storage and safety also remain two major aspects in the chemical production. Certain substances are sensitive to temperature and humidity; thus, they need a different place to be stored. Location rules for particular product types are specified by the ERP systems, defining where to keep certain items and establishing the inspection plan in order to monitor the environmental conditions. Furthermore, they also manage the allocation of materials in batch jobs, which involve raw materials with expiration dates and rotation methods of batch-controlled materials.
Quality control is also a core domain where ERP systems show prowess. The unpredictability concerning the quality of the input materials as well as the confusion that arises in the production phase make it a must to have stout quality control measures in place. ERP systems create and apply customer-required quality tests, deal with defects and rework issues, and open the door for continuous improvements that take shape by nonconformance and CAPA protocols.
To be sure of this, the environmental cost of chemical production should not be ignored. Through the ERP systems, businesses are helped to trace the by-products emitted, to gather information, to perform testing on product quality that will monitor the environment with respect to air and water pollution, greenhouse gas emissions, and waste generation.
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.