IBM Data and AI Redbooks

14 November 2024, Redpaper

This IBM® Redpaper describes an IBM Data & AI solution for using IBM watsonx.data together with IBM Storage Scale. The paper showcases how IBM watsonx.data applications can benefit from the enterprise storage features and functions offered by IBM Storage Scale. IBM watsonx.data empowers enterprises to scale their analytics and AI capabilities, leveraging an open lakehouse architecture. With its ...

28 October 2024, Redpaper

This IBM Redpaper provides comprehensive guidance for IBM® Storage Scale™ Information Lifecycle Management (ILM) policies applicable to internal and external storage pools. External pools can be provided with extra software from IBM such as IBM Storage Archive Enterprise Edition and IBM Storage Protect for Space Management. IBM Storage Scale is a clustered and scalable file system software from ...

25 September 2024, Redpaper

Metro disaster recovery (DR) provides two-way synchronous data replication between IBM® Fusion HCI clusters installed at two sites. In the event of a site disaster, applications can be failed over to the second site. The replication between the sites is synchronous, hence, the Metro DR solution is only available for metropolitan distance data centers with 40 milliseconds latency or less. This ...

23 August 2024, Redpaper

This IBM® Redpaper publication provides information about how to set up and configure IBM Db2® for z/OS® with Transport Layer Security (TLS), which is the modern version of Secure Sockets Layer (SSL). This configuration is accomplished by using the IBM z/OS Communications Server Application Transparent Transport Layer Security (AT-TLS) services. This paper also describes the steps for ...

02 April 2024, Redbooks

For many years, SAP migrations have been a standard process. An increasing number of customers are changing their database software to IBM® Db2® for UNIX, Linux, and Windows or are moving their existing Db2 based infrastructure from on-premises into the cloud. When customers move to the cloud, a heterogeneous system copy is often needed because of a change in the underlying hardware architecture ...

10 May 2023, Solution Guide

Open-source software (OSS) is widely available and serves as an essential component for enterprises in the artificial intelligence (AI) and machine learning (ML) industry. Specifically, the open-source programming language Python is one of the most versatile and popular programming languages that are used in the world at the time of writing. This situation is especially true in the data science ...

14 March 2023, Web Doc

Available with the IBM DB2®10.5 release, BLU Acceleration delivers unparalleled performance improvements for analytic applications and reporting using dynamic in-memory optimized columnar technologies. BLU Acceleration is one of the most significant pieces of technology that has ever been delivered in DB2 and arguably in the database market in general. This IBM® Redbooks® Solution Guide provides ...

30 November 2022, Redpaper

In today’s fast-paced, ever-growing digital world, you face various new and complex business problems. To help resolve these problems, enterprises are embedding artificial intelligence (AI) into their mission-critical business processes and applications to help improve operations, optimize performance, personalize the user experience, and differentiate themselves from the competition. ...

02 August 2022, Redpaper

The expansion of digital transformation initiatives resulted in the exponential rise of data generation. It is now apparent that for organizations to meet their rapidly changing business needs, they must use their most current data to fuel their insights. However, how to do so efficiently and effectively is still a challenge for most organizations that are trying to solve today’s complex ...

02 August 2022, Redpaper

Artificial intelligence (AI) and machine learning (ML) are talked about as though they are in a distant future. That future is here. We live in a world where technology is fully integrated with how we live. People own smartphones, smart wearables, smart TVs, and so on. With the integration of technology into almost every aspect of our everyday lives, there is an ever-growing, massive amount of ...