Getting Started with Linux on Cumulus Networks

whitePaper | September 20, 2022

Artificial intelligence and machine learning (AI/ML) is on every organization’s radar. Businesses and IT professionals are finding some amazing use cases for AI/ML and already experiencing its benefits, but there’s still so much untapped and unrealized potential.

whitePaper | May 25, 2022

The New Relic cloud-based observability platform visualizes, analyzes, identifies, and troubleshoots the entire technology stack, including software, applications, infrastructure, networks, mobile, browser, Kubernetes, and more. New Relic helps developer, DevOps, operations, and site reliability engineering (SRE) teams improve the quality of their software planning, build, and delivery along with the performance and reliability of their systems and applications. The platform is designed to provide a powerful set of observability, monitoring, problem identification, analytics, and resolution capabilities for multiple teams to gain a comprehensive, real-time, full-stack view of service performance. Its single view of all telemetry data enables teams to identify the root cause of problems quickly, drill into errors (debug) using advanced analytic models, and resolve problems using intelligence dashboards.

whitePaper | December 15, 2019

Artificial Intelligence (AI), and specifically Machine Learning (ML), are being tested in an increasing number of fields, including data-centric environments. Image or text analysis, speech recognition, chatbot interactions, custom machine learning models… all these are elements that could enable the AI journey of a public safety and security organisation. This document dives into different aspects of integrating AI & ML in Public Safety activities, at different levels and in different domains of activity. It presents ethical and regulatory considerations, real examples from Public Safety Answering Points (PSAPs) and Emergency Response Organisations (EROs), and also initiatives that can benefit the public sector greatly, with a series of recommendations at the end.

whitePaper | November 23, 2022

The modern distributed workplace—including enterprises with thousands of branches and remote workers—requires updated approaches to cloud, networking, and security infrastructure. Cloud migration has opened the door to a huge increase in sophisticated applications, requiring networks that can carry traffic to an increasingly remote workforce. In turn, this creates a unique set of new requirements for security, including special capabilities to handle unpredictable locations of users, applications, and traffic flows.

whitePaper | January 28, 2022

Since more and more decisions that used to be made by humans are nowadays made either with the help of Artificial Intelligence (AI) or by AI alone, it is essential that the AI algorithms are “fair.” In this whitepaper, we discuss issues surrounding the fairness of AI applications, with a special focus on how it can be assessed independently and subsequently certified. We explain why an AI application cannot be classified – and subsequently certified – as “fair” or “unfair” in a general sense and propose an approach that makes it possible to classify it as “fair” or “unfair” under the (application)-specific definition of fairness.

whitePaper | June 29, 2023

Generative artificial intelligence (AI) is impacting many aspects of the business community. ChatGPT and other similar large language models (LLMs) have captured attention for their amazing ability to create human-like prose.1,2 Additionally, generative AI can create visually captivating artistic content, encompassing images, videos, and audio. Langevin diffusion deep learning models are primarily employed to generate this content, with open-source image generation models, such as Stable Diffusion, being the most popular approach.