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IBM recently announced that it has launched a new set of products that build on the recently launched generative AI coding capabilities for mainframe developers to make it easier to use artificial intelligence in their old systems. IBM said the updates to IBM Z, designed to help customers improve business outcomes by implementing business-focused AI across multiple industries and use cases, include a new set of developer toolkits. , supporting the most widely used AI frameworks and Python programming language, machine learning enhancements for z/OS, and performance improvements in the IBM z/OS mainframe operating system.
IBM said these updates will allow customers to improve the accuracy of policy recommendations, improve the reliability and timeliness of anti-money laundering controls, and reduce risks for financial service providers.
IBM mainframes date back to the 1950s and are now commonly used by some enterprises to host mission-critical business applications. They are praised for their ability to quickly process large amounts of data and are used for data analysis. , enterprise resource planning and large-scale transaction processing.
One of the reasons mainframes continue to be relevant is their high availability, which makes them ideal for applications where downtime is costly and must be avoided, and mainframes are also known for their reliability and availability .
Although many enterprise organizations have moved to cloud-based computing infrastructure, mainframes are still widely used. According to IBM, 2/3 of the Fortune 100 companies, 45 of the top 50 global banks, 8 of the top 10 global insurance companies, 7 of the top 10 global retailers, and the top 10 global telecommunications providers 8 of them, still rely on the mainframe
Given the enduring popularity of the mainframe, IBM believes there is a significant opportunity to enhance the critical workloads supported by the mainframe with the latest artificial intelligence capabilities, and this is What IBM’s announcement this time will do
With general availability in the fourth quarter, the AI Toolkit for IBM Z and LinuxOne toolkit will support industry-standard open source AI frameworks, such as IBM Z Accelerated for TensorFlow, IBM Z Accelerated for TensorFlow Serving and IBM Z Accelerated for Snap ML enable mainframe users to start implementing trustworthy AI on IBM Z. At the same time, the Python AI Toolkit for the IBM z/OS mainframe operating system is now available, and developers will be able to access the open source Python software library to support AI workloads that adhere to IBM's security and privacy design practices.
IBM said that these two tool suites are designed to enable developers to connect mainframe data and applications to the most widely used AI frameworks and software packages.
Elpida Tzortatos, IBM Researcher, Chief Technology Officer for z/OS and AI on IBM Z and LinuxONE, said: “These tools include frameworks and libraries optimized and supported for IBM Z and are designed to enable developers to get started. Implement trusted AI capabilities on z/OS."
IBM will roll out updates to Machine Learning for IBM z/OS in the coming months. Machine Learning for IBM z/OS is IBM's full life cycle machine learning platform, used to build, deploy, manage and put AI models into operation on z/OS. The update will give users access to IBM’s watsonx.ai, a working library of integrated tools for building machine learning and generative AI models. Additionally, IBM’s Cloud Pak for Data will be available on the Z platform. This is a modular, integrated suite of software elements for data analysis, organization, and management that automates the process of building AI models. One important feature is trustworthiness, as companies can upload their own data, choose question types, and set constraints on models under development
Finally, IBM said, IBM z/OS operating system The game itself will also be updated around AI. The IBM z/OS 3.1 update will be released on September 29, providing new AI system services to help the operating system learn and predict how to optimize IT processes, simplify management, improve performance and reduce the skill requirements for implementing artificial intelligence.
IBM customer La Mobilière Suisse Holding Sa, Switzerland’s oldest private insurance company, said it has relied extensively on IBM Z mainframes for many years to process high volumes of transactions in the most secure manner. Most recently, the company partnered with IBM to create new AI models that allow it to discover patterns in data and improve predictive capabilities.
Thomas Baumann, IT Architect at La Mobilière, said: “We are working with IBM to apply AI capabilities to their reliable IBM z16 system to process insurance transactions and provide recommendations more quickly and accurately. By using Based on NLP's AI capabilities, we are able to discover hidden data patterns in almost real-time while ensuring privacy and security, with prediction accuracy as high as 94%."
IBM’s latest move is to enhance mainframe services with artificial intelligence. In August this year, IBM launched Watsonx Code Assistant for Z, aiming to promote the modernization of AI-driven mainframe applications. The service leverages generative AI to convert mainframe applications written in the old COBOL programming language into Java, simplifying developers' lives.
IBM watsonx Code Assistant for found, and many people who are proficient in the language have retired.
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