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Selector Adds Channel Partner Program and Portal

Selector announced the launch of a Channel Partner Program and Partner Portal that together enable organizations to leverage Selector AI solutions to scale go-to-market expansion within a high-quality partner ecosystem.

The new program allows partners to sell Selector AI Solutions, secure priority deal registration and lead sharing, and gain access to joint marketing opportunities. The portal creates a centralized location for critical sales and technical enablement to support teams in marketing and selling complex products and services. The result is an advanced level of collaboration among partners that can enhance the sales cycle, boost market exposure and drive market expansion.

Selector is an AIOps solution that gives the world's largest telecom providers and enterprises complete visibility and intelligence into their highly complex networks, infrastructure, and applications. The platform includes core products such as Correlation & Root Cause Analysis, network LLM & Copilot, and Operational Digital Twin. This unified AI-driven operations intelligence platform sets Selector apart from traditional monitoring and observability tools.

As part of the program and portal launch Selector has hired Chris Martinez as Director of Channel Sales. He has more than 13 years of experience in observability, networking and IT operations in the channel space. His mandate is to build and scale Selector's partner ecosystem, drive channel-led growth and enable partners to deliver consequential customer outcomes.

"This is an exciting time to join Selector as it continues to expand globally and solidify its position at the forefront of AI-powered operations," said Martinez. "I am passionate about driving channel-led growth and my background provides me with a unique perspective on the challenges and opportunities facing today's enterprises."

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Selector Adds Channel Partner Program and Portal

Selector announced the launch of a Channel Partner Program and Partner Portal that together enable organizations to leverage Selector AI solutions to scale go-to-market expansion within a high-quality partner ecosystem.

The new program allows partners to sell Selector AI Solutions, secure priority deal registration and lead sharing, and gain access to joint marketing opportunities. The portal creates a centralized location for critical sales and technical enablement to support teams in marketing and selling complex products and services. The result is an advanced level of collaboration among partners that can enhance the sales cycle, boost market exposure and drive market expansion.

Selector is an AIOps solution that gives the world's largest telecom providers and enterprises complete visibility and intelligence into their highly complex networks, infrastructure, and applications. The platform includes core products such as Correlation & Root Cause Analysis, network LLM & Copilot, and Operational Digital Twin. This unified AI-driven operations intelligence platform sets Selector apart from traditional monitoring and observability tools.

As part of the program and portal launch Selector has hired Chris Martinez as Director of Channel Sales. He has more than 13 years of experience in observability, networking and IT operations in the channel space. His mandate is to build and scale Selector's partner ecosystem, drive channel-led growth and enable partners to deliver consequential customer outcomes.

"This is an exciting time to join Selector as it continues to expand globally and solidify its position at the forefront of AI-powered operations," said Martinez. "I am passionate about driving channel-led growth and my background provides me with a unique perspective on the challenges and opportunities facing today's enterprises."

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Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...