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To fix customer service in Australia, put AI to work for employees

Australian business leaders can’t seem to crack the customer experience (CX) code. According to the ServiceNow Customer Experience Intelligence Report, customer service has gotten increasingly worse over the past three years. Australians are waiting longer than ever—spending a combined 107 million hours on hold, 11% more than the previous year.

Kubernetes - From chaos to insights with AI-driven correlation of Logs and Metrics

Written by John Stimmel, Principal Cloud Specialist Account Executive, LogicMonitor It’s common knowledge that Kubernetes (commonly referred to as “K8”s) container management and orchestration provide business value by enabling cloud-native agility and superior customer experiences. By their nature, the speed and agility of Kubernetes platforms come with complexity.

Checkly adds deep synthetic monitoring to Coralogix with new integration

Starting today, Checkly users can send their traces from synthetics checks to Coralogix to view in-depth synthetic user data along with back-end APM based tracing. This gives SRE’s and Operations engineers a new insight into how the system is responding to automated synthetic tests of your service. For Checkly users, integrating with Coralogix data means it’s easy to correlate end-to-end user experience with backend performance, and track poor performance to its root cause.

AI-driven contextual mastery for incident response

Context is fundamental to well-run tech operations, which require an understanding of systems, services, architectures, and teams to interpret the real-time data streaming in from observability and change systems. The delivery of context is crucial for effective operations performance. And it’s a universally important skill set for tech Ops teams to master.

How to test and monitor your APIs with Playwright

In today's video, we explore a lesser-known feature of Microsoft's Playwright - API Testing. We'll illustrate how to use Playwright for testing GraphQL as an example of an HTTP-based API; RESTful APIs can be tested too. We'll explain the usage of the 'request' fixture with Playwright, parse responses and validate their correctness. Moreover, we'll delve into executing multiple API requests in a single Playwright test case while testing their responses.

Practical Zephyr - Devicetree practice (Part 5)

In the previous articles, we covered Devicetree in great detail: We’ve seen how we can create our own nodes, we’ve seen the supported property types, we know what bindings are, and we’ve seen how to access the Devicetree using Zephyr’s devicetree.h API. In this fifth article of the Practical Zephyr series, we’ll look at how Devicetree is used in practice by dissecting the Blinky application.

Elevating Perspectives: How to Navigate the Drone Industry

In the swiftly evolving landscape of technological advancement, unmanned aerial vehicles (UAVs), commonly known as drones, are at the forefront of a revolution that is transcending traditional industry boundaries. Their multifaceted utility across various sectors, from aerial photography to precision agriculture, infrastructure inspection, and beyond, signifies a paradigm shift in operational applications.

Unveiling the Technological and Mechanical Marvels of eSIM Technology

In telecommunications, eSIM technology stands as a beacon of innovation, transforming the way we communicate over cellular networks and opening up a world of possibilities. Embedded SIMs, or eSIMs, represent a paradigm shift from traditional physical SIM cards to virtual SIMs integrated directly into devices' hardware. In this comprehensive exploration, we delve into the technological and mechanical aspects of eSIM technology, comparing it to physical SIM cards, exploring the best eSIM apps, and showcasing the leading eSIM providers at the forefront of this transformative technology.

Ubuntu AI | S2E5 | All about Ops: DataOps, MLOps, DevOps, AIOps

The emergence of DevOps has changed the way enterprises handle software delivery processes, leading to faster and improved quality. After DevOps has been coined, other practices such as DataOps, MLOps, and AIOps have emerged. In the podcast, Michelle and Andreea, Data PM and AI Product Managers, respectively, will be discussing the significance of these Ops processes in streamlining and optimizing enterprise data, machine learning, and AI projects and use cases.