Test-Driven Service Virtualization

whitePaper | August 25, 2022

Businesses are in different stages with their artificial intelligence (AI) technologies. Even today, after many years of evaluating AI, only one third of organizations have actually put AI into production (31%1 ). Organizations that started somewhat later are currently prototyping their AI solutions (20%). Companies that only recently came on board with AI are experimenting with AI technologies for their business cases (25%). And a relatively large portion (24%) have only just begun evaluating AI for their business cases.

whitePaper | June 24, 2022

This new technology guide from DDN shows how optimized storage has a unique opportunity to become much more than a siloed repository for the deluge of data constantly generated in today’s hyper-connected world, but rather a platform that shares and delivers data to create competitive business value. The intended audience for this important new technology guide includes enterprise thought leaders (CIOs, director level IT, etc.), along with data scientists and data engineers who are a seeking guidance in terms of infrastructure for AI and DL in terms of specialized hardware. The emphasis of the guide is “real world” applications, workloads, and present day challenges.

whitePaper | December 14, 2022

Data science is Vectra AI’s north star. We have always believed that data science and AI, if used properly, can transform our fight against cyberattacks and give an edge to defenders. However, not all AI is the same.

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 | January 20, 2022

Machine learning (ML) algorithms are moving to the IoT edge due to various considerations such as latency, power consumption, cost, network bandwidth, reliability, privacy and security. Hence, there is an increasing interest in developing neural network (NN) solutions to deploy them on low-power edge devices such as the Arm Cortex-M microcontroller systems. To enable that, we present CMSIS-NN, an open-source library of optimized software kernels that maximize the NN performance on Cortex-M cores with minimal memory footprint overhead. We further present methods for NN architecture exploration, using image classification on CIFAR-10 dataset as an example, to develop models that fit on such constrained devices.

whitePaper | August 22, 2022

Now in its ninth year, the Microsoft Vulnerabilities Report provides a unique analysis of the vulnerability landscape in Microsoft’s ecosystem. Historically, the report has delivered a holistic annual view of the vulnerabilities within Microsoft’s platforms and products, and has established an undeniable business case for the importance of removing admin rights to reduce risk.