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. You can dive into this week's episode below.
From This Episode:
- Download the Results of our latest WAN Manager Survey
- SD-WAN Trend Breakdown
- COVID-19 and the Impact of Remote Work on WAN Managers
- WAN Managers Reflect on COVID-19 Challenges
- Explore TeleGeography's Cloud and WAN research
Greg is Senior Manager, Enterprise Research at TeleGeography. He's spent the last decade and a half at TeleGeography developing many of our pricing products and reports about enterprise networks. He is a frequent speaker at conferences about corporate wide area networks and enterprise telecom services. He also hosts our podcast, TeleGeography Explains the Internet.