DeepSeek R1: In the AI Sphere & ERP Systems, It Is a Complete Reversal
DeepSeek R1’s sudden rise to firm it as one of the strong powers, in the field of artificial intelligence, at the same performance levels as OpenAI models, is quite surprising. Its achievement was the beginning of a new era in the tech world demonstrating how to train a huge language model (LLM) at a very low price against its imported models from Silicon Valley. This discovery, as a matter of fact, is the signal that AI, which was previously perceived as a possible threat to data transparency, is now perceived as a real opportunity for many. The open-sourced nature of DeepSeek goes in line with this; not only does it allow users to run it alone in a closed environment, but it also establishes a perfect solution for those who have doubts about data handling practices.
The other aspect of the AI agents is that there is no point in ignoring it. If 2024 is designated to be GenAI’s year, then 2025 is set to be the year of AI agents, also known as agentic AI. These AI agents, for example, the LAIDFU, which work with both OpenAI and DeepSeek together, give the users the freedom to choose. In addition, the fact that AI agents can do more than one task is their dominating ability, as they are able to operate on multi-step tasks, making them more functional and efficient than GenAI.
Looking back on enterprise resource planning, Singapore has taken the lead, and is ahead of the game. It is worth noting that the Economic Development Board (EDG) has come out as a significant contributor by giving subsidies for ERP and AI adoption to qualified Singapore entities. The prime goal of this initiative is to elevate the management of R&D projects, budgets, and resources to a whole new level. The corporate biosciences sector is finding the addition of ERP systems as a Jedi move, as these technologies empower them to manage their research and development (R&D) projects efficiently, plan their activities, and monitor everything effectively. By managing budgets and optimizing resources, these systems assure that biotechnology firms not only survive but also outdo in the competitive market.
Mentioning needs of management and tracking of experiments and their data; the critical part is advanced traceability. The use of ERP systems that offer the capability of recording the precise work of each detail for researchers is very valuable. These systems, in fact, not only give the opportunity of managing, analyzing, and sharing data but also guarantee that all the steps of R&D activities are traceable. Intellectual property protection is another aspect we emphasize, as ERP applications are equipped with extra security measures to protect the intellectual property of the biotechnology firms. Furthermore, these arrangements help researchers to collaborate effortlessly through the sharing of secure data and information.
Effectively managing the inventory of biological materials as well as laboratory equipment is yet another area where ERP systems deserve special mention. The integrated management system consists of an inventory management module specifically for biotechnology firms which include tools for the specific needs of such firms. These modules provide visibility into biological substances, lab instruments, and other articles, keep the exact ratios, and make the right use of resources.
The incorporation of MRP systems along with CRP, MES, GLP, and GMP standards in the biotech sector is on the rise. These systems and standards work as the best assurance of quality and compliance for the life science firms. For this reason, Singapore’s ongoing focus on MRP and ERP systems is a sign of its promise for innovation and growth in the biotech sector.
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.