Making a Quantum Leap with Continuous Analytics-Based QA

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 | April 25, 2023

Artificial Intelligence (AI) is changing our world. In the future, AI will be essential to cybersecurity and application security testing. Organizations require AI to secure assets that power their business. As cyber-attacks become more sophisticated and widespread and leverage AI, organizations will need to rely on AI-powered security solutions to protect their systems and data.

whitePaper | November 15, 2021

A few key decisions need to be made before you can start building your new API. In this preparation phase you should define the application domain semantics, decide what API architectural style you are going to use, and form an API style guide.

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 | September 19, 2022

The field of artificial intelligence (AI) traces back to the 1950s. More recently, the increased availability of both data and computing power has bolstered rapid adoption of AI and machine learning (ML) solutions (collectively, AI/ML)

whitePaper | December 23, 2019

We are witnessing a new genre of companies shaping the business landscape by leveraging emerging technologies and applying them with such potency to create competitive advantage. These organisations have a quest to scale; they are big on customer experience; they are open to partnerships and are able to deploy their products and services at scale through APIs; they are big adopters of the cloud and quite often are born in the cloud; they embrace design thinking and are happy to return to first principles to find innovative solutions to business problems; and they are relentless at leveraging the power of artificial intelligence (AI) for insights and decision making.