Operations | Monitoring | ITSM | DevOps | Cloud

Splunking GenAI Applications for Observability Insights

Has your organization finally developed that game changing generative AI application? Is your CTO, CIO, or CEO banking on it being a success? I bet they are! Now, here’s the big question: Are you prepared to monitor and troubleshoot your new application once users get engaged? Fear not, my boy Derek Mitchell has you covered with two incredible Splunk Lantern articles which goes deep into how Splunk Observability Cloud allows you to instrument GenAI apps to gain critical observability insights.

Ubuntu powers Azure's confidential AI offering

Microsoft Azure has announced the general availability of their confidential virtual machines (VMs) with NVIDIA H100 Tensor Core GPUs, powered by Ubuntu. This offering combines the hardware-based protection of AMD EPYC processors with NVIDIA’s latest GPU technology to enable secure and high-performance AI workloads in the cloud. Combining these technologies allows sensitive sectors to unlock AI adoption through addressing previous concerns of critical data privacy.

The Many Reasons Why You Should be Automating - and Incorporating Artificial Intelligence (AI) into - Your Demand Planning

Today, business leaders around the world, especially those in charge of consumer packaged goods (CPG) companies, are using artificial intelligence (AI) in their distribution networks and supply chain as part of their constant evolution in such a competitive market. Their main objective in leveraging AI is to obtain more precise and efficient demand management, leading to correct and optimal management of inventories, cost reductions and revenue growth.

The Future of AI and ML: Are You Ready to Navigate the Change?

Join us at Civo Navigate Europe 2024 for an engaging session featuring pioneers and leaders discussing the latest developments in artificial intelligence (AI) and machine learning (ML). Discover breakthroughs in deep learning and neural networks, along with the ethical considerations and regulations shaping these technologies. Gain insights into how AI and ML are transforming industries, driving economic changes, and addressing practical aspects like scalability, data privacy, and human-machine interaction.

Leveraging AI Features for Enhanced Sales Productivity

In hindsight, the major milestones of social and cultural progress are clear. In recent decades, the popularization of personal computers, the invention of the internet, and the rise and spread of digital social media platforms have clearly stood out. While it wasn't immediately obvious at the time of their emergence just how impactful they would later become, we now recognize their significant role in driving change.

Introducing Megaport AI Exchange

Supercharge your AI innovation with secure, scalable, and high-performance connectivity for your AI workloads. AI isn’t magic. Just like every other system in the IT world, AI is built on computing infrastructure – and the performance of your AI applications hinges on this infrastructure and the connections that bind it.

How to deploy AI workloads at the edge using open source solutions

AI is driving a new wave of opportunities in all kinds of edge settings—from predictive maintenance in manufacturing, to virtual assistants in healthcare, to telco router optimisation in the most remote locations. But to support these AI workloads running virtually everywhere, companies need edge infrastructure that’s fast, secure and highly scalable.

Achieving your AI Strategy with Automation

AI must be the hottest topic in the business news at the moment whether its public offerings like ChatGPT or the plethora of business offerings starting to appear. In a recent Gartner survey1 92% of CIOs believe AI will be implemented in their organizations by 2025 but turning the promise of AI into reality is not easy, in the same survey 49% of leaders highly involved in AI report that their organizations struggle to estimate and demonstrate the technology’s value.

AI-Powered Observability: Picking Up Where AIOps Failed

GenAI promises evolutionary changes in how we use observability tools, but meeting expectations means heeding the lessons of our AIOps mistakes. The emergence of generative AI in observability tools was inevitable, but there’s already been an extreme degree of hype in the market. Monitoring, DevOps and ITOps have never been immune to trends, and with GenAI capabilities, the propagandahype machine is running out of control.

AI in Healthcare: 5 Use Cases and 1 challenge

The accelerated developments in machine learning and artificial intelligence in healthcare have set the stage for some interesting transformations. By enabling better care for patients, optimizing processes, and generating new opportunities for medical research and treatment, these technologies are indeed going to change the healthcare industry radically.