The Business Value of IBM Cloud Object Storage

Technology enables business and digital transformation (DX) and 3rd Platform technologies (social, mobile, Big Data, and cloud) that are changing IT infrastructure requirements at a rapid pace. Adoption of innovation accelerators such as Internet of Things (IoT), artifcial intelligence (AI) and analytics, augmented reality and virtual reality (AR/VR), and robotics is also fueling data growth...

Why Your Current IT infrastructure Won't Work for AI

The concept of deep learning, the process of using layers of algorithms to process data, was first introduced in the 1940s, but recent advances in hardware technology and software frameworks have enabled a revolution in deep learning and artificial intelligence...

Scaling AI Requires Hardware and Software That Work Well Together

It is increasingly clear that artificial intelligence (AI) requires unique hardware and software combinations that are co-optimized in order to provide data scientists with the best solutionpossible for developing high-quality AI models fast, while IT is assured of the soundness of the hardware-software package...

Enterprise Application Access

Secure access to the right application, for the right user, at the right time has become difficult and complex because of the widely distributed nature of users and applications. The definition of a user has evolved to be much more than an employee; this can be a supplier, partner, customer, developer, or an employee of a newly acquired company. Applications now have wider definitions that include multiple types (legacy, web, or SaaS) and locations (data center, Internet, and public cloud).

New Technology: The Projected Total Economic Impact™ Of IBM Cloud Pak For Data

Forrester predicts that, for artificial intelligence (AI), 2020 will be a year of less experimentation and more implementation, and as a result the companies that focus on the right strategy, skills, governance, data, and tools will get ahead of those that don’t think holistically about applying AI across the enterprise.

The Total Economic Impact Of IBM® Power Systems™ For SAP HANA®

Organizations are deploying SAP HANA to get faster insights from their data. As more applications migrate to the platform, the demands on SAP HANA environments will continue to change. Therefore, it is critical to choose a server infrastructure that can easily adapt to these changes while providing the scalability and reliability required by SAP applications...

Simplify and accelerate SAP HANA deployments

Organizations are deploying SAP HANA to get faster insights from their data. As more applications migrate to the platform, the demands on SAP HANA environments will continue to change. Therefore, it is critical to choose a server infrastructure that can easily adapt to these changes while providing the scalability and reliability required by SAP applications...

Who Can Benefit from SAP HANA Database and S/4HANA on IBM Power Systems?

The road to SAP HANA and SAP S/4HANA is paved with uncertainties, no matter how well intentioned SAP SE has been with its renewed focus on customer needs and benefits. From an infrastructure perspective, the demands that the in-memory database and the integration of transactions and analytics impose on the underlying hardware are significant...

Driving Business Outcomes with IBM Power Systems for SAP HANA

Many leaders are already addressing the 2025 deadline to migrate to SAP HANA, and they’re asking tough questions: How can I simplify the transition to SAP HANA? What is the right infrastructure to provide superior virtualization and management flexibility? How can I ensure scalability? What is the best choice for faster speed to market to address ever-changing business requirements?