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Generative AI QE: Insights from testing Sumo Logic Mo Copilot

Generative AI is transforming industries by automating tasks and delivering AI tools, such as AI assistant Sumo Logic Mo Copilot, to enhance operational efficiency. But, these advancements also challenge traditional quality engineering (QE) methodologies. Unlike conventional software testing, AI models produce dynamic, context-sensitive outputs, requiring a new approach to validation and testing. At Sumo Logic, we faced similar challenges while testing Mo Copilot.

The AI Revolution in Incident Management: Insights from the Frontlines

Cofounder Doreen Jacobi spoke with several of our customers about the revolution AI is bringing to incident management. Artificial Intelligence has seamlessly integrated into our daily lives, often in ways we barely notice. But what does that actually mean for industries facing complex challenges, like incident management? What real benefits does AI bring today, and how might it shape the future?

Getting it right with GenAI in financial services: Where to focus in 2025

I attended ElasticON recently where we spent the day with our NYC Elastic community, talking about the combined value of vector databases using retrieval augmented generation (RAG) to feed large language models (LLMs) for next-level generative AI (GenAI) results. Elastic’s CTO and Founder Shay Banon kicked off his keynote with an important message: GenAI is not magic.

How AI In The NOC Will Transform Network Operations

In July 2024, a routine network configuration change at Microsoft caused a global outage that left millions without access for 90 minutes. The culprit, however, was a network issue within the Microsoft WAN that disrupted global routes. Unfortunately, this isn’t a one-off network outage but a part of a broader, troubling trend. Modern Network Operation Centers (NOCs) are far too siloed and broken to handle the growing complexity of modern networks.

What is Integrative Medicine? A Comprehensive Guide to Holistic Healthcare

Modern call centers face unprecedented challenges in meeting customer expectations while maintaining operational efficiency. The evolution of customer service demands has made traditional call center approaches obsolete, pushing organizations to embrace innovative solutions. This comprehensive blog explores how artificial intelligence revolutionizes call center operations, enhances customer experiences, and drives business growth in today's competitive landscape.
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How to avoid overconfidence in AI-readiness

We've seen this story play out before: a shiny new tech trend pops up, and suddenly, everyone's clamoring to jump on the bandwagon. It happens to consumers, and it happens in business. AI is no different. Snyk's Secure Adoption in the GenAI Era report surveyed tech professionals across roles-from executives to developers-and found that while many feel their companies are ready for AI coding tools, they're also worried about the security risks these tools might bring.

AI in Observability: Mapping Root Causes with Precision

Explore how AI is transforming observability by mapping system connections and uncovering root causes with precision. The Logz.io AI Agent analyzes logs, metrics, and service dependencies to provide actionable insights without the need to sift through overwhelming amounts of data.