AI for Network Leaders — Powered by Selector

Join us in NYC on March 25th

AI for Network Leaders — Powered by Selector

Join us in NYC on March 25th

On this page

Selector Announces SPIF Program for Resellers

Selector is an operational intelligence platform that automates anomaly detection and helps diagnose outages for hybrid-cloud connectivity and applications. Selector collects data from heterogeneous data sources, applies an ML-based data analytics approach, and provides actionable multidimensional insights by correlating metrics and events. 

Overview

Selector is sponsoring activities to accelerate the introduction of our platform to the wider market. We are offering a SPIF Program for qualified customer prospects to our Premier VAR partners. For qualified accounts, we are offering $350 for a second meeting with a qualified representative from a qualified customer target account. We are also offering a SPIF of $1250 for a PoC with a qualified customer target account.

Program Details

  • Qualified Representative is defined as a senior manager or higher title in an IT organization within the networking, operations or tools practice group.
  • Qualified target account is defined as anything greater than a small enterprise customer or service provider. Target accounts will be qualified by the program administrator, Scott Strelitz. The plan sponsor is Eric Moore, VP of Worldwide Sales. 
  • This program is funding dependent and may expire prior to the published end date.
  • SPIF Start Date: February 1st, 2024
  • SPIF End Date: December 31th, 2024
  • Payment Timing:
    • 2nd Meeting – Paid at the end of the month the second meeting was held.
    • SPIF – Paid at the end of the month after data is flowing in the PoC environment.

SPIFPer Team
2nd Meeting$350
PoC$1250

Please register all eligible demo and PoC target accounts at selector-spiff@selector.ai. The decision to accept solely exists with Selector Software, Inc. We appreciate your partnerships in furthering the adoption of AIOps solutions by like-minded customers and look forward to a successful engagement.

More on our blog

Beyond the Dashboard: Selector’s Patented Approach to Conversational Observability

For years, IT operations teams have been trapped in a frustrating paradox: the data they need to solve critical issues is right at their fingertips, yet entirely out of reach. Accessing it requires engineers to master complex, platform-specific query languages, dig through endless layers of dashboards, and hunt for the exact visualization that holds the answer. Under the intense pressures of modern speed, scale, and complexity, this rigid model is breaking down. At Selector, we recognized a fundamental opportunity to change how teams interact with their data. Our recently published U.S. patent application (US20250278401A1, filed March 2, 2024, and published September 4, 2025), titled “Dashboard metadata as training data for natural language querying,” outlines a transformative solution. By utilizing dashboard metadata, aliases, and user interaction data as training material, we empower operators to bypass structured queries entirely and obtain infrastructure insights using plain, natu

The Business Case for AI-Driven Observability in Network Operations

Modern network operations generate an extraordinary amount of telemetry. Metrics, logs, events, topology data, cloud signals, and service context all contribute to a richer picture of system behavior. As environments expand across cloud, data center, edge, and SaaS, the opportunity for operations teams is clear: when that telemetry is unified and understood in context, it becomes a powerful source of resilience, efficiency, and business insight. That is why AI-driven observability has become such an important priority for IT and operations leaders. Its value comes from helping teams move through complex environments with greater clarity. Correlated signals, contextual awareness, and shared operational understanding help teams identify issues faster, coordinate more effectively, and resolve incidents with greater confidence. For business leaders, the conversation is increasingly practical. They want to understand how observability investments contribute to uptime, team productivity, op

Solving the Ticket Noise Problem: What We Learned from Our ServiceNow Webinar

On March 18th, we hosted a session focused on a challenge that continues to undermine even the most mature IT operations teams: ticket noise.  It’s easy to dismiss noise as just “too many alerts”. But as we explored in the webinar, the real issue runs deeper. Ticket noise is a symptom of something more fundamental — a lack of correlation, context, and shared visibility across the stack.  If you weren’t able to attend, this blog walks through the key ideas, examples, and takeaways. And if any of this feels familiar, it’s worth watching the full session.  View “Solving the Ticket Noise Problem: Bringing Intelligence to ServiceNow”.  The Hidden Cost of Tickets Most organizations don’t struggle because they lack monitoring. In fact, the opposite is true — they have too much of it. Over time, teams adopt specialized tools for every layer of the environment: Each tool does its job well within its domain, but incidents don’t respect those boundaries. As discusse

このサイトは開発サイトとして wpml.org に登録されています。remove this banner のキーを使用して本番サイトへ切り替えてください。