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11 Must-Have AI Sales Tools for B2B Operations Management

Nov 21, 2025 By OpsMatters In OpsMatters

In B2B sales, every interaction, follow-up, and decision matters. Teams are managing more leads, more data, and more tasks than ever before, and keeping everything running smoothly can feel overwhelming. AI helps revenue teams work smarter by taking over routine follow-ups, surfacing actionable insights, and giving managers the information they need to make quick, informed decisions. Below are 11 AI platforms that every B2B operations manager should be familiar with, organized by their primary focus and the benefits they bring to operations.

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AI for Good: Securing Networks in the Age of Autonomous Attacks

Nov 20, 2025 By Steve Stover In Kentik

The rise of autonomous AI attacks operating at machine speed demands that network security evolve beyond human capacity and manual processes. Kentik AI Advisor counters this threat by using AI for good, reasoning across full network context to proactively eliminate vulnerabilities and guide immediate, confident defense.

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Using Seer with Cursor Cloud Agents

Nov 20, 2025 By Sentry In Sentry

Starting today, Seer can talk to Cursor! Seer is Sentry's AI Debugging Agent that watches your code when its getting shipped as a PR, and when its running in production. Now, you can take Seer's root cause analysis and and solutions, and hand them over to Cursor Cloud Agents to implement.

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Architecture for the agentic era: How AI will reshape data, security, and observability

Nov 20, 2025 By Nick Heudecker In Cribl

As AI agents move from copilots to autonomous systems, they’re generating and consuming data at unprecedented scale. The result is a new kind of infrastructure pressure — one that’s quietly reshaping how organizations think about data, cost, and control. Across IT, Security, and Observability, leaders are realizing a hard truth: too much data is too costly.

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AI Isn't Here to Replace Your Dashboard... Yet

Nov 20, 2025 By Martin Thwaites In Honeycomb

Non-deterministic UIs are the future and will replace your dashboards, but they’re not here yet. So until then, we’re stuck with conversational interfaces. In an effort to try and describe what I consider the future of UIs to look like, I wrote about how you (and I) have been designing dashboards wrong. The core insight was that we've been designing for static representations of data that sit on a TV in the office, when the actual use case is someone at a desk using them to debug an issue.

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Five key takeaways from EDUCAUSE 2025: Adopting AI while navigating change

Nov 20, 2025 By PagerDuty In PagerDuty

Having just returned from the 2025 EDUCAUSE Annual Conference in Nashville, I want to share some insights on the future of campus IT from the higher education technology leaders in attendance. Every year, this conference provides an opportunity for technology providers and higher ed professionals to connect and explore the latest innovations in higher education technology. Two themes emerged as critical priorities.

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Seer can now trigger Cursor Agents to fix your bugs

Nov 20, 2025 By Jenn Mueng In Sentry

We just launched our Cursor Cloud Agent integration. Now when Seer finds a bug, it can hand it off to Cursor—replete with all the context Sentry has about the issue—to write the fix and create a PR for you.

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Search Telemetry Without Limits in a Multi Cloud and AI World

Nov 20, 2025 By Cribl In Cribl

Cribl Search gives you one lens across all your telemetry data no matter where it lives. Instead of forcing teams to move data into one system or jump between tools, you get a familiar pipe based query experience with dashboarding and alerting built in. Storage and query processing stay separate so you decide where your data lives while your users get fast, simple access in one place.

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Episode 1 - Preparing the workforce for AI | The Intelligent Enterprise

Nov 20, 2025 By Digitate In Digitate

In our first podcast episode of The Intelligent Enterprise, Ricardo Costa, Senior Vice President and Chief Technology Officer at Purolator, gives us his views on how to prepare the workforce for AI. In his role as a technology "translator" connecting business strategies with tech implementations, Ricardo highlighted the importance of translating complex tech concepts into simple, understandable stories and addressing leadership challenges in preparing the workforce for AI, including upskilling and ethical considerations.

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AI Observability: How to Keep LLMs, RAG, and Agents Reliable in Production

Nov 20, 2025 By Sofia Burton In LogicMonitor

AI observability closes the gap between “something’s wrong” and “here’s what to fix.” If you run AI in production, you might have felt the whiplash. Yesterday, your LLM answered in 300 milliseconds (ms). Today p99 crawls, costs spike, and nobody’s sure if the culprit is model behavior, data freshness, or GPUs stuck at the ceiling. Dashboards light up, but they don’t tell you which issue puts customers at risk. That’s the gap AI observability closes.

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