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resolve

AI Service Desk Showdown: RITA vs. Legacy Chatbots

Jun 3, 2025 By Ari Stowe In Resolve
Over the last decade, IT teams have leaned on chatbots to manage rising support volumes, aiming to deflect tickets and lighten the burden on overworked service desk agents. These legacy chatbots served a purpose—but today they’ve hit a wall. Static responses and script-based flows can’t keep pace with the expectations of modern digital workers or the dynamic needs of enterprise IT. That’s where a new kind of intelligence emerges.
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ivanti

AI threat hype: why chasing ghosts leaves real vulnerabilities exposed

Jun 2, 2025 By Ivanti In Ivanti
With AI at the center of media and industry focus, cybersecurity teams are increasingly putting pressure on themselves to prepare for AI-fueled cyber attacks. According to Ivanti’s 2025 State of Cybersecurity research, half of IT security professionals ranked “yet unknown weaknesses” as a high or critical threat – the same as or higher than compromised credentials, supply chain risks, DDoS attacks and other real-world threats.
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Stop Guessing: Let AI Handle the Debt Conversation

Stop Guessing: Let AI Handle the Debt Conversation

Jun 2, 2025 By OpsMatters In OpsMatters
Traditional debt collection tactics fail in today's fast-paced digital age. Generic letters and repeated calls no longer deliver results. AI has shifted that landscape. Reaching out at the right time is easier when you know customer habits and preferences. This helps make contact smarter. Personalized service, cost savings, and increased efficiency are all possible. The best part? No new hires are required. Consumers now expect digital-first tools and flexible communication. Collectors get better with AI. It handles timing, channels, message tone, and follow-up without effort.
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Beyond Chatbots: Advanced Generative AI Use Cases to Supercharge Team Collaboration

Beyond Chatbots: Advanced Generative AI Use Cases to Supercharge Team Collaboration

May 30, 2025 By Sarah Abdelhady In OpsMatters
Emails compose themselves. In 2023, Gmail introduced the "Magic Compose" feature and its "Help me write" button (later rebranded as Gmail's Gemini Assistant), enabling users to draft, reply to, or polish entire emails using a short prompt or by selecting an already typed phrase. At the same time, AIpowered meeting summaries became built into tools like Notion, where /meet now triggers fully automatic transcription, structured summaries, and tagged action items, eliminating scribbles and missing points. Meanwhile, calendars are no longer static deadlines in spreadsheets.
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console connect

Elastic bandwidth and the future of AI-driven networks

May 29, 2025 By Shaheen Kalla In Console Connect
In this employee spotlight blog, Shaheen Kalla, Presales Team Lead, explores what the future of AI in networking may hold and the possibilities it presents. So much has been written about AI in the context of software engineering, machine learning, and data manipulation - especially where large datasets are involved. However, very little has been explored when it comes to AI from a networking perspective.
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circleci

End-to-end testing and deployment of a multi-agent AI system with Docker, LangGraph, and CircleCI

May 29, 2025 By Benito Martin In CircleCI
Multi-agent AI systems are transforming how intelligent applications are built. By orchestrating multiple specialized agents that collaborate to solve complex tasks, these systems enable more dynamic and efficient workflows. However, deploying such a system reliably and at scale requires a structured approach to testing, packaging, and automation.
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datadog

Detect hallucinations in your RAG LLM applications with Datadog LLM Observability

May 28, 2025 By Barry Eom In Datadog
Hallucinations occur when a large language model (LLM) confidently generates information that is false or unsupported. These responses can spread misinformation that jeopardizes safety, causes reputational damage, and erodes user trust. Augmented generation techniques, such as retrieval-augmented generation (RAG), aim to reduce hallucinations by providing LLMs with relevant context from verified sources and prompting the LLMs to cite these sources in their responses.
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