Operations | Monitoring | ITSM | DevOps | Cloud

What is Data Modeling? What is its Importance in the New Age of AI?

AI is all about the game of data. And the emergence of advanced AI models, including the newsmaker one - Generative AI, is compelling business leaders to revisit their data platforms. Stating the obvious, businesses now need customized AI models built for their unique business needs and perfected as per their data. So, your journey to a successful AI transformation or adoption begins with a robust data infrastructure as a stepping stone.

Debugging your Rancher Kubernetes Cluster the GenAI Way with k8sgpt, Ollama & Rancher Desktop

The advancements in GenAI technology are creating a significant impact across domains/sectors, and the Kubernetes ecosystem is no exception. Numerous interesting GenAI projects and products have emerged aimed at enhancing the efficiency of Kubernetes cluster creation and management. From simplifying application containerization for engineers to addressing complex Kubernetes-related queries or troubleshooting issues within a cluster, GenAI demonstrates immense potential.

AI at the Peak of Inflated Expectations? A Reality Check

The AI hype is undeniable. Buzzwords like ‘machine learning’, ‘deep learning’, and ‘artificial intelligence’ have permeated boardrooms, media, and tech conferences. However, recent market movements suggest that AI might be at the ‘peak of inflated expectations’. Nvidia, a leading player in AI hardware, has seen its stock plummet by about 20% over the last month (8th July to 8th August 2024).

New GenAI Search Revamps Customer Experience

Splunk has launched a GenAI summary feature in splunk.com and docs.splunk.com search platforms designed to give users a quick and accurate glance of the most pertinent information they are looking for. This GenAI feature serves up a contextual high-level summary pulled from various relevant search results on topics ranging from Splunk product and feature usage to general Splunk terminology.

The Ultimate Guide to Choosing the Right Omnichannel Contact Center Platform

How effectively is your current contact center addressing your customer service needs? Are you struggling with fragmented communication channels or outdated technology that hampers your team's efficiency? If these issues resonate with you, it might be time to consider an omnichannel contact center platform. But what is an omnichannel contact center, and how can it revolutionize your customer interactions? This guide will walk you through key considerations, essential features, and the evaluation process to help you select the right platform for your business needs.

How gen AI is driving the next wave of network and cloud innovation

In a recent panel discussion, “Navigating the Convergence of Networks, Clouds, and Generative AI,” hosted by Digital Realty and Console Connect, industry experts shared their views on the challenges associated with AI adoption and its future impact on business operations. The panel featured industry experts from both Digital Realty and Console Connect, alongside Jacky Chan from Votee AI, a multi-stacked AI start-up based in Hong Kong.

Networking Field Day 35: Democratization of Data Access Using Network LLMs with Selector AI

In this brief demo of the Selector platform, a user interacts with Selector Copilot to explore behavior within their network infrastructure. They first look into the latency of their transit routers, revealing a regional issue. The user drills down into network topology information to further investigate the latency, where they access details about devices, interfaces, sites, and circuits. Selector Copilot is then leveraged to surface circuit errors. Notably, each visualization provided by Selector Copilot can be copied and pasted onto a dedicated dashboard.

Networking Field Day 35: Selector AI and the Workings of an LLM

An LLM differs from a function in that it takes output and imputes, or infers, a function and its arguments. We first consider how this process works within Selector for an English phrase converted to a query. We then step through the design of Selector's LLM, which relies on a base LLM trained with English phrases and SQL translation, then fine-tuned, on-premises, with customer-specific entities. In this way, each of Selector's deployments relies on an LLM tailored to the customer at hand.