Take the Intelligent Route to Information that Matters

whitePaper | December 26, 2022

IBM embraces five foundational pillars of trustworthy AI: Explainability, Fairness, Robustness, Transparency, and Privacy. These pillars underpin the development, deployment and use of AI systems. This document and IBM’s trustworthy AI pillars are meant to help you align on both process and outcomes.

whitePaper | October 18, 2022

The term Artificial Intelligence for IT Operations (AIOps) combines big data and machine learning to automate IT operations processes, including event correlation, anomaly detection, and causality determination.

whitePaper | February 23, 2023

In December 2022, Rackspace Technology® polled 1,420 IT professionals throughout the world and across multiple industry verticals. Survey respondents worked in financial services, manufacturing, retail, hospitality, government and healthcare in the Americas, Europe, Asia and the Middle East.

whitePaper | October 17, 2022

The NVIDIA DGX family of systems is made up of the world’s first integrated artificial intelligence (AI)-based systems that are purpose-built for enterprise AI. NetApp AFF storage systems deliver extreme performance and industry-leading hybrid cloud data-management capabilities. NetApp and NVIDIA have partnered to create the NetApp ONTAP AI reference architecture, a turnkey solution for AI and machine learning (ML) workloads that provides enterprise-class performance, reliability, and support.

whitePaper | June 7, 2022

Telecoms need to be able to incorporate new technologies and next-generation connectivity such as 5G to customers and end users. To achieve these ambitious goals, they need to optimize their networks – make them more intelligent if you will. Some of the tools needed include artificial intelligence (AI), machine learning (ML) and artificial intelligence operations (AIOps). This document will explore what intelligent networking means to telecoms, vendors and customers, and how AI and ML technologies and tools can be used, the cultural shifts the industry needs to make it a success, and what to bear in mind when deploying machine learning across a telecom network.

whitePaper | July 20, 2020

Privileged access is the gateway to an organization’s most valuable assets and is at the core of nearly every major security breach. Organizations must have a strategy in place to manage and monitor privileged access, as well as detect and respond to threats if they’d like to mitigate risk from today’s advanced attacks. Your application stack and infrastructure is likely quite complex and it can be hard to identify which assets are the most sensitive. And there is a never-ending supply of vendors knocking down your door competing for your time and attention. These two realities make it increasingly difficult to identify which security project to tackle next. When thinking about how to prioritize, it is advantageous to take a step back and think about your businesses goals, albeit in a slightly different way: try to envision what you would be looking for if you were an external attacker or malicious insider looking to steal sensitive data, commit Ransomware, or use your infrastructure for illicit cryptomining.