AE Natarajan

And then we brought mobility into place.

So users were actually moving around.

So network architectures had to adapt to all of these things over the periods of time.

And then last but not the least, we brought an AI and this AI brought some interesting elements into the network, which is what I think we should be discussing.

Let's assume that you were in the age of the internet or the cloud, and you had a SaaS service or a streaming service, and you wanted to do something about it.

You wanted to watch a movie, you wanted to watch some recording, you wanted to watch something pull down from there.

you would send a small pile of bits over to the server side or to the cloud application, and it'll stream a huge amount of data to you.

So the data was asymmetric, pretty much.

And the network architectures catered to that.

Your upload speeds from the consumer was always less than the download speeds that you would get from consumers.

And they would rate themselves based on that.

They would always say, hey, you got 10 megs of download or one gig of download or something like that.

But they never talk about the upload speeds because it was always meager.

Then the second aspect of it is we use these networks to multiplex.

Not everything was on at the same time.

So you would actually multiplex it.

So you'd use your network resources effectively.

to redistribute the load where it's needed and shut off load if you don't need it completely to save time, energy and money and whatever else that you can.

So we built network architectures that did all of these things.

But that used to be in the cloud and mobility era.