My prediction is that only a few telcos, despite their spending power, will become shall we say – in the elite adopters of the combined technologies of Analytics, AI and Automation.

Why is this my prediction? Well, it’s going to be just really difficult to do, given the complexity of their existing technology stack and organization. As shown in the slide, I see six major changes will be triggered by new types of mainly, AI and machine learning technology that the telco would need to embrace.

One – humans and machines working together. Humans will work alongside machines. This will require more clever AI to be successful and humans will really have to adapt.

Two – the use of AI in design. This will be the speeding up of innovation and reduction of cost. And it’s going to fundamentally change the speed at which telcos work.

Three – increased use of detailed customer understanding. So, more customer understanding, held with an intent-based system and digital twins.

Four – the use of A3 by telco customers – Analytics, AI and Automation. What telcos deploy in the way of A3 will be driven by the adoption of these technologies amongst its customers and suppliers, and existing partners. So, it’s going to be lots of ‘push’ from all directions.

Five – management of humans and machines. New management stars are going to be needed. We’ve got the democratization of A3 and then, we’ve also got the need for managers to spend more time being creative and making decisions because machines are helping them. So, that’s going to re-change the management dynamic.

And six – machine speed. The speeding up of decision making by A3 will accelerate the speed of doing business. Problems and opportunities will potentially arrive faster than management can make decisions, as we go forward.

So, in summary, my prediction is that just this combination of factors will be really hard for a large, complex organization like a telco to deal with. And that they’re going to lag behind.

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