Selector AI's presentation at Cloud Field Day 22, delivered by VP of Product Sachin Natu, focused on illustrating a typical day for a cloud engineer managing Fortune 500 company environments. Natu highlighted the significant challenges these engineers face, emphasizing the complexity arising from the multitude of technologies, administrative domains, and siloed views across on-premise networks, multiple ISPs, and hybrid cloud deployments. The core problem showcased was the difficulty in troubleshooting even a seemingly simple issue like a malfunctioning chatbot, requiring investigation across numerous interconnected systems and data sources.
The presentation centered around Selector AI's platform, which aims to address these complexities by providing a Slack-native AI-powered interface. Using a scenario involving a chatbot outage, Natu demonstrated how the platform proactively identifies problems, correlates events across various systems (including network devices, ISPs, and cloud services), and provides actionable recommendations within the Slack workspace itself. The platform doesn't simply identify issues; it also offers contextual information, such as historical data and user-added notes, to build a clear picture of the situation, allowing for more efficient and informed decision-making.
Crucially, Natu differentiated Selector AI's approach from generative AI, emphasizing the platform's reliance on machine learning techniques for accurate data analysis and correlation, rather than generating hypothetical solutions. While leveraging Large Language Models (LLMs) for natural language interaction, the core of the platform uses precise data analysis to ensure accurate representations of the systems being monitored. This approach addresses concerns about the reliability of AI-driven insights in critical infrastructure management and ensures that the recommendations provided are grounded in factual data and historical context. The presentation concluded with a planned deeper dive into the platform's architecture and data processing methods.
Presented by Sachin Natu, VP of Product and Technical Marketing, Selector AI. Recorded live in Santa Clara, California on February 19, 2025 as part of Cloud Field Day 22. Watch the entire presentation at https://techfieldday.com/appearance/selector-ai-presents-at-cloud-field-day-22/, https://TechFieldDay.com/event/cfd22/ or visit selector.ai for more information.
Up Next in Cloud Field Day 22
-
Customer Use Cases and Product Demons...
Selector AI's presentation at Cloud Field Day 22 showcased real customer use cases demonstrating how its platform aids operators and management teams in making critical cloud-based business decisions. John Heintz, Global Systems Engineering Director, highlighted the platform's ability to resolve ...
-
A Deep Dive into AIOps with Selector AI
Selector AI's presentation at Cloud Field Day 22 offered a technical deep dive into the architecture and functionality of its platform. The core of the platform relies on machine learning (ML) techniques for data ingestion and analysis, ingesting raw data such as metrics, events, and syslogs to u...
-
Focused on Monitoring Internet User E...
Catchpoint, founded in 2008 by Mehdi Daoudi and two others, focuses monitoring on the user experience rather than solely on the application stack. Daoudi's experience at DoubleClick, where he was responsible for resolving a major outage, solidified his belief that performance monitoring is not ju...