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IBM software systems and applications are specifically designed to help large and small organizations in all walks of life around the world solve most of their difficult needs. With the industry’s top consultants and IT practice services, cloud and cognitive computing solutions, enterprise systems and software, IBM continues to assist large enterprises in innovation in Taiwan, and assist small and medium enterprises to enhance market competitiveness and differentiation.
IBM Cloud Paks is a software solution for enterprise multi-cloud deployment and microservice containerization, allowing customers to move core business applications to any cloud in an open, faster and safer way. It provides pre-integrated enterprise container software, which can be quickly and easily deployed to a Kubernetes (K8s)-based container management platform, providing the service quality and full life cycle management required by the formal operating environment. Each IBM Cloud Pak™ includes containerized IBM intermediary software and general software services for development and management, located above the general integration layer-its design can reduce development time by up to 84% and operating expenses by up to 75%. IBM Cloud Paks is built on the Red Hat® OpenShift® container management platform and optimized for the productivity and performance of Red Hat OpenShift on IBM Cloud.
There are currently six IBM Cloud Paks product lines, which perfectly cover the key workloads encountered by enterprises in their journey to the cloud.
Build an agile DevOps culture
Develop cloud-native applications
Refactor, replace, move or maintain existing applications
Build and deploy personalized mobile apps
A single platform integrates data management, data control and analysis
Full coverage of data analysis and machine learning
Automated Data and AI lifecycle management
Accelerate entry into an AI-driven business model
Simplify integration architecture in an agile way
Improve the speed and efficiency of integrated development, while reducing costs
Seamless integration between API and application
Give enterprises the integrated power needed for digital transformation
Automate routine tasks to improve employee productivity and customer experience
Accelerate the transformation of corporate value and improve operational visibility
Inject AI into business operations and decision-making processes
Respond quickly to market demand and cater to the trend
Reduce the risk and complexity of multi-cloud management
Safety and principle-based control to meet compliance requirements
Assist maintenance personnel to improve management efficiency in a multi-cloud environment
Improve resource management capabilities in a multi-cloud environment to avoid being locked in by a single supplier
Expose hidden threats and make smarter decisions based on risks
Connect existing security tools with open standards to generate deeper insights
Accelerate the company’s ability to respond to information security threats
Establish and strengthen cloud security plans
Applications, data and AI services are fully modular and easy to use
Complete software stacking support, and continuous security, compliance and version compatibility
On-premises, on private and public clouds, and in pre-integrated systems
The database is a mature technology product. In addition to the large number of NoSQL and open source databases that have attracted attention due to the boom of big data in recent years, the traditional enterprise-level database is still a solid foundation for maintaining the operation of enterprise application systems.
In addition to the development of its technical architecture, the selection of a database should consider whether it uses standard ANSI SQL technology, whether it has a simple management interface, whether it has built-in performance optimization functions, whether it has a completed technical support system, etc., These are all the key points that enterprises should prioritize when choosing a database.
The IBM Db2 enterprise-level AI database, which is stable in Taiwan’s financial, manufacturing, medical centers and other industries, has the ability to support various open platforms, allow the continuation of DBA skills, easy entry for users, and a flexible Hybrid data architecture, etc. In addition to excellent product features, it can also provide feasible insights into customer behavior with both predictive and proactive features to help organizations expand market share, reduce costs, and provide successful AI solutions.
IBM Db2 Database
Provides an internally deployed database optimized for industry-leading performance and cost reduction.
IBM Db2 on Cloud
Provides a fully managed SQL cloud database with advanced functions of an on-premises database to eliminate the cost, complexity, and risk of self-management infrastructure.
IBM Db2 Warehouse
It is suitable for the private cloud data warehouse that can support the client-side management of the Docker storage infrastructure.
IBM Db2 Warehouse on Cloud
This fully managed cloud data warehouse allows you to make good use of in-database analysis and massively parallel processing to accelerate insights from data.
IBM Db2 Big SQL
The first and only SQL on Hadoop solution that can provide low-latency support for specific or complex queries, high performance, security, compatibility, and joint functions.
IBM Db2 Event Store
Especially optimized for event-oriented data processing and analysis.
IBM Db2 Hosted
Advanced features are combined with the agility of cloud deployment.
Db2 tools
A database management tool suite that supports integrated design, development, testing, monitoring, migration and management of database systems.
This will reduce 80% of licensing and database management costs, accelerate AI development, and improve the efficiency and flexibility of data management. Companies can efficiently use AI applications to increase market share and reduce costs.
Artificial intelligence and data science is the process of using algorithms to extract knowledge and insights from structured and unstructured data. It uses analysis and machine learning to help companies make predictions and improve their operational decision-making capabilities.
The data science life cycle begins with the collection of various data and clearing the data into a format that the machine can understand. The standardized data uses statistical methods and algorithms to find patterns and trends, then let the model predict various business problems, and finally get an explanation.
Data science work spans data scientists, business analysts, and IT teams in the enterprise. The tedious tasks often prevent AI applications from responding to first-line business needs in real time. Therefore, companies need to use modern AI and data science platforms to establish automation technology and standardized operating procedures, so as to maintain business agility and innovation, in order to solve complex challenges in the business field, so that companies can get more from the valuable data they receive.
Watson Studio
Simplify and expand data science to predict and optimize business results.
Watson Machine Learning
Accelerate and control AI deployment to make good use of machine learning, deep learning, and decision-making optimization to provide business value.
Watson OpenScale
Track and measure results throughout the AI life cycle, and then adjust and control AI to respond to changing business conditions-to facilitate the build-up and execute it anywhere.
Watson Knowledge Catalog
Explore, plan, classify and share data assets, data sets, analysis models, and their relationships with other members of your organization.
Inject AI into your applications to make more accurate predictions, automate decision-making and processing procedures, and optimize staff time to focus on higher-value tasks.
IBM servers can provide you with the tools you need to innovate and accelerate, meet your workload needs, and get the best investment benefits in terms of performance and stability.
Open Source
Unity of Stability and Sensitivity
Green Computing
Safe and Secure
Superior processor architecture and server hardware
AI dedicated infrastructure
Dynamic cost optimization for flexible consumption
Outstanding computing performance
Top-ranked in reliability ITIC Open System
Investment Protection
World Class Performance
Built for Data
IBM LinuxONE
LinuxONE can transform your application and data combination through innovative data privacy, security and network backup functions, all of which are provided with the shortest downtime.
IBM Power System
Use IBM Power System to achieve the security and reliability required for an effective hybrid multi-cloud strategy.
IBM Power Linux
Provide a scalable and open infrastructure to process large amounts of data in a fast, efficient, and cost-effective manner, thereby generating real-time and feasible business insights.
The IBM data storage device solution is an intelligent software-defined foundation for managing, protecting, trusting and making good use of data storage devices.
Simplify data storage with a combination of integrated software, API, and tools. IBM FlashSystem uses a data platform to meet various storage needs.
Optimize your storage media portfolio, including NVMe hybrid flash memory storage solutions, to achieve the best balance between performance and economic benefits.
Meet Performance Goals
Optimize data economics
Support workload range
Source: IBM official web product link
Tel:+886-2-26581910 #2001
E-mail: service.ptsc@pershing.com.tw
