Artificial intelligence (AI) operations provider Selector AI is using AI to find and fix problems in increasingly complex networks, infrastructure, and applications.
The company says that organizations in fields as varied as healthcare, hospitality, retail, and software-as-a-service (SaaS) rely on increasing complex networks as they integrate AI and the cloud, and as the sheer number of technologies they use increases. Downtime grows as teams struggle to troubleshoot and fix ever more complex problems.
As much as 90% of network repair time is spent sorting through enormous amounts of data, according to a press release about Selector AI’s $33 million series B funding round. The company uses AI to reduce this time by interfacing its AI engine with the network language model platform. This enables real-time conversations with their full-stack data in human language, the company says.
“Even the slightest performance degradation or downtime is unacceptable for mission-critical infrastructure. Solving this problem requires auto-correlating across enormous volumes of data. That’s why we exist,” said Selector AI CEO Kannan Kothandaraman.
“We’ve spent the last five years demonstrating how autonomous AI technology and human network expertise can work together to ensure that the world’s most demanding networks are up, operating, and generating revenue at all times. We’re now ready to scale this work significantly.”
The company will use the funding to further develop its AIOps, large language model, and digital twin technologies, as well as expand its footprint.
AI’s impact on telecommunications goes way beyond advanced diagnostics. In March, Corning Optical Communications Chief Technical Officer Mike O’Day told Telecompetitor that data centers already are seeing a surge to support early AI adopters. This means that access network traffic will increase substantially, he said.
Generative AI — AI that creates (generates) content of some source — will be a big source of that increase in data traffic.
