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splunk

Responsible AI: What It Means & How To Achieve It

Apr 24, 2025 By Joseph Nduhiu In Splunk
The information age has leapt forward with the explosive rise of generative AI. Capabilities like natural language processing, image generation, and code automation are now mainstream — driving the business goals of winning customers, enhancing productivity, and reducing costs across every sector. New large language models are emerging almost daily, existing language models are optimized in a frantic race to the top. There seems no stopping the AI boom.
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pagerduty

Transforming the Incident Lifecycle With AI Agents

Apr 23, 2025 By PagerDuty In PagerDuty
We’re in the midst of a fundamental shift in how organizations run operations. 51% of companies have already deployed AI agents. What was once reactive and manual is becoming intelligent, automated, and AI-driven. The organizations that embrace this shift gain more than just operational efficiency; they develop a strategic competitive advantage that directly impacts business outcomes.
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Operational excellence in the age of AI and Automation

Apr 23, 2025 By PagerDuty Inc. In PagerDuty
The future of operations is here with PagerDuty's groundbreaking AI and automation innovations. Learn how PagerDuty AI agents, powered by PagerDuty Advance, and new use cases like security incident management and LLMOps can help your organization achieve operational excellence to reduce cost, mitigate the risk of outages, and accelerate innovation.
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circleci

Preventing harmful LLM output with automated moderation

Apr 23, 2025 By Najia Gul In CircleCI
Large Language Models (LLMs) can produce impressive text responses, but they’re not immune to generating harmful or disallowed content. If you’re developing an LLM-powered application, you need a reliable way to detect and block risky outputs. Disallowed content – hate speech, explicit descriptions, harmful instructions – can damage your product’s reputation, endanger user safety, and potentially violate legal or platform guidelines.
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zebra technologies

Empowering Your Business with AI: The Role of Real-Time Data Capture

Apr 23, 2025 By Your Edge Blog Team In Zebra Technologies
In the world of business, AI is like a superhero - but even superheroes need the right tools to do their job. To make AI truly effective, it’s important to pair it with automated data capture across your operations. Just like us, AI needs a complete picture to make smart decisions and avoid mistakes. Without all the details, it can’t spot patterns, catch defects, or find hidden inefficiencies.
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resolve

Why Generative AI Isn't Enough: You Need Agents, Not Just Answers

Apr 22, 2025 By Ari Stowe In Resolve
At Resolve Systems, our mission has always been to simplify the complex. For over a decade, we’ve partnered with enterprises to tackle operational chaos through automation, orchestration, and intelligent workflows. Whether it’s accelerating incident resolution, eliminating repetitive tasks, or optimizing service delivery, we’ve consistently focused on delivering real outcomes, not just flashy features.
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The Future of Efficiency: Unlocking the Power of Workload Automation Software

The Future of Efficiency: Unlocking the Power of Workload Automation Software

Apr 22, 2025 By OpsMatters In OpsMatters
In today's fast-paced business environment, efficiency is no longer a luxury-it's a necessity. With the increasing complexity of IT operations and the rise in digital services, organizations are looking for ways to streamline their workflows and ensure that their systems run as smoothly as possible. Workload automation software is the key to achieving this goal, providing businesses with a robust tool for managing and orchestrating tasks across various platforms. This software is a game-changer, driving efficiency, reducing errors, and freeing up valuable resources that can be better used elsewhere.
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Scaling AI Development: Efficient Frameworks for Robust Deployment

Scaling AI Development: Efficient Frameworks for Robust Deployment

Apr 22, 2025 By OpsMatters In OpsMatters
Scaling AI development demands a deep focus on the frameworks allowing rapid and secure deployment. The rapid advancement of AI requires groups of all sizes to have access to strategies, tools, and platforms. In the absence of efficient frameworks, developers will face issues such as extended implementation time and decreased system efficiency.
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