Derak cloud’s new product, called Automatic Machine Learning in the Development and Operations Environment (MLOps), was unveiled at the 10th Annual Conference on Electronic Banking and Payment Systems
According to the IDEA, This infrastructure product is a combination of DevOps and machine learning practices to develop and operate machine learning models that can lead to faster development of AI applications and reduced costs in digital banking.
Shirazi startup Derak cloud, which is active in the field of providing smart solutions and cloud infrastructure, unveiled its new product called “Automatic Machine Learning in the Development and Operation Environment” (MLOps) )” participated in the MLOps product introduction workshop.
The co-founder of this company, Sarah Rad, in a presentation related to the unveiling of the company’s new product, pointed to the challenges of digital banking and said: Although the use of artificial intelligence in digital banking improves services, improves security, better user experience and intelligent management. Data leads, yet the infrastructure challenges AI developers face in operationalizing intelligent applications cannot be ignored. In this way, we can help organizations to move faster in this field and to implement these projects in an easier way.
Introduction of automatic machine learning product in the development and operation environment (MLOps)
Digital banking has continued to develop in recent years with the aim of automating traditional processes, improving customer experience, optimizing and reducing costs. However, the introduction of artificial intelligence showed that this technology can have various applications, including fraud detection, validation, or the development of intelligent chatbots to respond to customers. Applications whose implementation in smart banking can make processes simpler and reduce costs in addition to increasing security.
The implementation of these applications, along with the automation of development and deployment, requires processing and storage resources and operational infrastructure for the implementation of artificial intelligence algorithms, and for this reason, it is possible to obtain the necessary infrastructure for the production of artificial intelligence applications with the help of cloud companies such as Derak cloud. Facilitate continuous testing, learning, development, and execution operations for AI algorithms. Also, this operational infrastructure provides the necessary cycle for faster improvement of machine learning models (learning based on feedback).
Sarah Rad, co-founder of Derak cloud, referring to Derak cloudc’s ability to provide the infrastructure needed for smart banking, said: Artificial intelligence has been raised as one of the advanced technologies at the global level, and also as a powerful and vital tool in various industries. Its implementation in digital banking, in addition to increasing efficiency and speed in banking processes, will pave the way for innovations and developments in this field.
In the product introduction workshop “Automatic Machine Learning Pipeline”, besides introducing the general framework of the product, he mentioned topics such as automatic machine learning in the development and operation environment in smart banking, MLOps architecture and components, the benefits of using MLOps and MLOps processes.
Also, the co-founder of Derak cloud said about the product “automatic machine learning in the development and operation environment (MLOps):
Derak cloud, with the aim of solving the challenges of testing and implementing artificial intelligence algorithms in operational environments, has developed this product for developers of artificial intelligence algorithms, learning engineers The machine and the people of the operation teams have been developed in a wide range of applications to remove the concern of the service being unavailable when the input data changes and the need to repeat the learning process again, and to provide the possibility of using the pipeline as a service and monitoring the model in the exploitation phase. slow In the same way, artificial intelligence and MLOps play an important role in improving the performance of digital banking, and by increasing capabilities and improving models, it will lead this industry to a new future.
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