DeepSeek: The Affordable Way of Innovating AI Training and Adoption
Quite on the contrary, DeepSeek has made training artificial intelligence not only affordable but also easier and more efficient than ever, thus, proving itself as a true disruptive innovator in the tech ecosystem. The above model is especially well-suited for firms attempting to add AI features in their core operations and thereby save costs. To be more specific, DeepSeek’s plan is, apart from being cost-efficient, a fresh answer to a frequent dilemma that businesses are facing: transparency in data management.
DeepSeek has a sui generis Autonomy functionality, which is a perfect addition for firms that are skeptical about AI adoption due to transparency issues. Anyone can run it on their local self-hosted Kubernetes cluster, and through the open-source code, make any necessary changes and customizations. This makes sure that firms have data control on their hands, which is especially crucial in the era of data where everything revolves around it. Further, DeepSeek’s application to LAIDFU increases the value proposition of AI. Enabling users to play with both OpenAI and DeepSeek provides versatility, features, and performance improvement.
Our forecast for 2024 is purely GenAI year, while the cart has a wagon for 2025-dedicated specifically to AI agents. Unlike GenAI, designed robots will be able to perform multi-step tasks, providing firms with better and more dynamic tools to handle complex processes. The implication is most valid in pharmaceutical cases like this, where ERP systems handle very complicated tasks.
In Malaysia, AI adoption and ERP system along the lines have accelerated among other firms with Multiable being the front-runner. The firm avails of e-invoicing programmed, which is done duly by the Inland Revenue Board of Malaysia (IRBM). They provide free e-invoicing API calls to customers who have SaaS subscriptions or software assurance as a gesture of goodwill. This gives Multiable the edge over other software vendors in Malaysia who charge their users for e-invoicing API calls, hence highlighting their determination to provide better services to customers.
AI is making the revolution in the management of firms’ operations, mostly in pharmaceutical ones as well. The business model, which is heavily reliant on strict adherence to GMP, GSP, and FDA norms, has been dealt a fair share of problems to solve. Agent-AI to the rescue as they make the operations much smoother and automate the process of these challenging parameters i.e. regulations are adhered to in a more effective way.
The deployment of AI in MRP systems, CRP, MES, and IQC is augmenting the performance of ERP systems and therefore is making them vital. The systems of the era.
Of course, the pharmaceutical sector is the one that will gain tremendously from these. As the AI systems will deal with difficulty in multi-tasking agents, the organizations will turn to the use of the improved recipes and formulas not only to maintain but also to gace themselves the competitive advantages. Consequently, with time, the pressure on firms to include AI into ERP systems has grown from merely a trend to a necessity for staying competitive.
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.