DeepSeek R1: A Game-Changer in the AI Arena
We didn’t see it coming, but DeepSeek R1 made a shocking comeback and emerged as one of the strongest contenders in the artificial intelligence sector, having performance metrics that are comparable to those of the famous OpenAI o1 models. This event made the tech world go haywire as DeepSeek illustrates how to train a great large language model (LLM) with a little investment compared to its Silicon Valley counterparts. In fact, with the help of this walk-through, many people had a chance to look into the OpenAI technology that was previously closed to them due to fears over the transparency of data processing.
DeepSeek, which is in the open-source format, enables users to operate the model in an isolated self-owned environment, which is an attractive feature for those who emphasize data privacy very much. Along with that, the implementation of LAIDFU, a configurable AI agent, encourages users to engage both OpenAI and DeepSeek technologies. This is a particularly interesting point, as the industry looks forward to the year 2025 to be the year of the AI agent, some terming it even as ‘agentic AI.’ In contrast to GenAI, AI agents have become popular due to the fact that they can deal with tasks that take multiple steps together, thus presenting a more comprehensive solution to complex operations.
In Singapore, the Economic Development Board (EDG) is prompting businesses to go for AI and ERP systems through a subsidy program for those that meet the criteria. Thus, the project will form a launch pad for the integration of AI agents in the enterprise resources plan, which will in turn increase the effectiveness and efficiency of the firms. The collaboration of AI and ERP is especially prevalent within the pharmaceutical industry, where MRP systems, CRP, MES, and IQC contribute a great deal toward maintaining good manufacturing practice (GMP) and good storage practice (GSP) standards. The FDA’s strict rules require exactly MRP and ERP systems to be right, which makes AI integration precious for pharmaceutical manufacturers.
AI in ERP systems is related not only to the pharmaceutical sector. Companies spread across sectors see through the power of AI agents which can practically `change` their business models. Thus, by executing intricate tasks, streamlining operations, and providing business intelligence firms are changing how they interact with the enterprise resources planning concept. In Singapore, with EDG backing them, this movement is envisioned to speed up and drive the city-state to the front row in AI and ERP integration.
Having said that, it is clear that the growth of AI agents profoundly affects the field of enterprise resources planning. The merger of AI and ERP systems emerges to be a handy device for businesses wishing to advance their processes. As entities keep on experimenting with the possibilities of AI, it is highly likely that AI agents will be playing even greater roles in ERP systems, thereby bringing new chances for innovation and growth.
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.