Today’s episode of TeleGeography Explains the Internet is about artificial intelligence. And for that we welcome Kannan Kothandaraman, Co-Founder and CEO at Selector AI.
To start, no, we didn't do the thing where we had ChatGPT write this post as an intro to all things AI. (But we've already tangled with the notorious chatbot to see how it did with telecom intel.)
With a plethora of cheeky, AI-generated content out there already, we don't have to tell you that AI has been in the news a lot lately. And I know "AI" is a capacious term; this week's conversation focuses on how AI/ML will actually impact telecom networks.
In fact, we've talked a lot on TeleGeography Explains the Internet about the meaningful changes that have come to corporate networks over the past several years—although it's often in the context of impacting the underlay selection, cloud utilization, security, and other factors.
My interview with Kannan is all about how AIOPs–don't worry, we'll define this in the show—are an important tool for meeting the many challenges that come with a reimagined WAN.
Selector is actually using AI for monitoring and problem solving. This means I was able to get Kannan’s views on the difference between an observability tool and observability platform.
Kannan and I also discuss examples of how their tool can be deployed and used. And I always like to get guests to opine on the future of telecom and networks, so we talk about how AI for networking is developing and what changes we can expect to see in the coming years.
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