According to Zhang Yongjian, vice president of IBM and general manager of cloud computing business unit in Greater China, as big data has gradually become a natural resource that companies need to make good use of, and the company is increasingly focusing on data use and management, a wave of data economy era has emerged. IBM continues Committed to the advancement of data science development, the IBM DSX enterprise-level data science collaborative analysis platform provides data integration analysis and retention management for various digital channels. The platform focuses on the user experience through various open source tools and analysis. The method allows the user to select the model construction method according to personal skill background and wins the affirmation of the user experience award of the German Red Dot Design Award. IBM further introduces this precursor technology to Taiwan, and works together with Lenovo to lay out the architecture plan of the data platform. With application management, it helps companies to rapidly convert massive amounts of data into information insights, extracting innovative commercial value, and responding to future market demands.
Lenovo said that the group has been deploying the data center market in Taiwan for many years and saw local companies' demand for digital transformation such as machine learning and deep learning. Liang Junyi, general manager of the Lenovo Data Center Business Group in Hong Kong and South Korea, said that the two parties will cooperate strategically to implement the IBM DSX. The enterprise-level data science collaborative analysis platform runs on the Lenovo server environment to create a combination of hard and soft gold products. Through an elastic and secure data platform IT system, it helps Taiwanese companies to easily master the creation of AI calculus models; By Lenovo's strong local distribution alliance resources, it provides the most complete access and consultation, in response to the AI innovation and application of various industries, to accelerate the shaping of Taiwan's AI ecosystem.
IBM pointed out that many Taiwanese companies are relatively unfamiliar with AI models such as machine learning and deep learning. Therefore, the strategic integration of IBM DSX platform and Lenovo ThinkSystem server can help companies solve model creation, model prediction accuracy, algorithm preservation, etc. Various data science challenges. The IBM DSX platform has built-in open source R, Scala, Python, and popular Spark MLlib, TensorFlow, Caffe development frameworks, allowing users to freely choose tools and analytics to build models. For example, statistics Experts can create models using Visual Flow, and program writers can use a variety of open source code tools to achieve more flexible, more in-depth customized analysis.
IBM further stated that the operation of the AI calculus model will often increase with long-term data, resulting in inaccurate predictions, but the IBM DSX platform will use the Jupyter Notebook to pass on the analysis assets in a projected manner, and will use the algorithms, formulas, and cross-functionality behind the model. The provided data is completely retained in the system, and the model analysis results can be used for the accuracy and health status of the Model Management continuous management and monitoring model, allowing the user to grasp the stability of the model prediction at any time.
In addition, the industry believes that in the process of building AI models, data scientists and software engineers are often unable to grasp the corresponding hardware equipment needs, so through the integration of IBM and Lenovo software and hardware advantages, build a platform to run IT environment on Lenovo ThinkSystem server At the same time, we can improve the CPU, GPU, memory, and other hardware conditions in the configuration, and pre-debugging the model tests and errors to simplify the time and steps required for subsequent deployment of the equipment. In addition, Lenovo responds to business needs. Provide customized hardware service solutions, expand the number of servers by means of horizontal expansion, etc., help Taiwanese companies achieve a flexible and flexible transformation layout, and accelerate the popularization of AI in Taiwan.
In order to help Taiwan companies speed up the implementation of innovation and transformation, Lenovo also collaborates with many local distributor partners such as Lianqiang and Shuangji, to broaden the distribution alliance frontline, and to promote the foundation for running IBM DSX data solutions. Edition and Advanced ThinkSystem Server. At the initial stage, we will focus on the three industries of manufacturing, finance, and education. We will assist them in quickly adopting the AI calculus model framework, implement the value of data innovation, and fully launch the key technologies of data science and cognitive technology.