AI & Analytics Research
How can telcos apply the latest practices in AI and analytics? And how are they doing?
Telco AI: How to organise and partner for maximum success
Our latest research shows that only one in five telco AI projects has made the leap from proof of concept (PoC) to live deployment. How can telcos improve the hit rate and achieve real performance improvements?
Network AI: The state of the art
Autonomous networks are still many years away, but AI-supported automation is a reality now, which all telcos must master to survive. What steps must telcos take to implement AI in network maintenance, optimisation and planning, and what is it worth?
AI in customer services: It’s not all about chatbots
There’s no doubt that AI is a transformative technology, and chatbots are a focus for many telcos looking to benefit from it. We look at case studies from Telenor, Deutsche Telekom and AT&T to find telcos’ best path toward employing AI. Despite the hype, chatbots may not be the best first step.
AI on the Smartphone: What telcos should do
Artificial intelligence (AI) is more powerful and affordable than ever, and the leading consumer-facing AI platforms – Google, Apple, Facebook and Amazon – are in an arms race to bring the technology to smartphones. AI will radically change the way people use smartphones, but what are the implications for data traffic and consumer expectations, and what role should telcos play in this evolution?
AI: How telcos can profit from deep learning
Artificial intelligence (AI) is improving rapidly thanks to the growing use of deep neural networks to teach computers how to interpret the real world (deep learning). These networks use vast amounts of detailed data to enable machines to learn. What are the potential benefits for telcos, and what do they need to do to make this happen?