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Monitor your Azure OpenAI applications with Datadog LLM Observability

Azure OpenAI Service is Microsoft’s fully managed platform for deploying generative AI services powered by OpenAI. Azure OpenAI Service provides access to models including GPT-4o, GPT-4o mini, GPT-4 Turbo with Vision, DALLE-3, and the Embeddings model series, alongside the enterprise security, governance, and infrastructure capabilities of Azure.

Crawl, Walk, Run: Implementing AI and Generative AI on Your Journey to Autonomic IT

As IT environments continue to expand in scope and complexity, understanding their impact on organizations is more important than ever. That’s why ScienceLogic commissioned research specialist Vanson Bourne to survey 400 IT operations professionals across the USA, UK, Germany, and Canada with the goal of understanding the challenges they’re facing and the technologies—including automation, AI, and generative AI—they’re using to overcome them.

10 Tech Hacks That Help Make Life Easier

As it is visible, everyone's life can be easy with the advancement in technology. The portable devices can have cool hardware and clever software. The work environment is made easier with the help of technology, whether it means taking out the repetition from previous work, improving the use of devices such as a smartphone, or changing the structure of a person's place. Here are 10 tech hacks that will not demand much effort or time.

The role of AI in Kubernetes monitoring

In a dynamic environment like Kubernetes, where manual tracking is impossible, AI-powered monitoring tools, such as Site24x7, surf through enormous amounts of data, detecting irregularities, predicting vulnerabilities, and alerting the user about a possible outage that is about to happen if the resource is not handled.

Monitor your generative AI app with the AI Observability solution in Grafana Cloud

Generative AI has emerged as a powerful force for synthesizing new content—text, images, even music—with astounding proficiency. However, monitoring, optimizing, and maintaining the health of these complex AI systems is challenging, and traditional observability tools are struggling to keep pace. At Grafana Labs, we believe that every data point tells a story, and every story needs a capable narrator.
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How to Detect Threats to AI Systems with MITRE ATLAS Framework

Cyber threats against AI systems are on the rise, and today's AI developers need a robust approach to securing AI applications that address the unique vulnerabilities and attack patterns associated with AI systems and ML models deployed in production environments. In this blog, we're taking a closer look at two specific tools that AI developers can use to help detect cyber threats against AI systems.

Leveraging AI for Predictive Analytics in Observability

Predictive analytics has become a key goal in observability. If teams can foresee potential system failures, performance bottlenecks, or resource constraints before they happen, they can act preemptively to mitigate issues. AI holds the promise of making this possible. In this post, we explore how AI can push observability toward predictive analytics, the industry’s current hurdles, and practical use cases for leveraging AI today.

Digitate's Flamingo release advances AI and unified observability to power the autonomous enterprise

Digitate announces the general availability of ignio™ Flamingo, featuring a robust suite of AI-driven capabilities across its award-winning products and solutions to further the vision of an autonomous enterprise.

Navigating Fraud Prevention and AI in Government Operations

Navigating Fraud Prevention and AI in Government Operations State and local governments are tackling social security and tax fraud challenges, especially in the wake of COVID-19. Identifying fraud in decentralized environments is crucial. Effective device management is key to overseeing global networks, while robust data protection policies ensure the safe handling of sensitive information. AI is revolutionizing operational efficiency, aiding in IT service management and fraud mitigation.

4 elements of AI copilots for incident management

Generative AI has immense potential to transform how IT operations, service management, and infrastructure teams function. However, integrating GenAI technologies, like copilots, often brings significant challenges, such as ensuring accuracy, addressing job displacement concerns, and demonstrating tangible value. Navigating the landscape of various vendors and implementation hurdles can be time-consuming and resource-intensive.