Is it possible to get fiber-like speeds without all the digging? This week, The Five Nine looks at wireless optical technology, using Google spinout Taara as a case study.

Taara CEO Mahesh Krishnaswamy explains what it means to “solve for the monkey,” why wireless optical tech could make all the difference for data centers, and where the technology could go next. Hint: it involves robots.

Is it possible to get fiber-like speeds without all the digging? This week, The Five Nine looks at wireless optical technology, using Google spinout Taara as a case study.
Taara CEO Mahesh Krishnaswamy explains what it means to &ldquo;solve for the monkey,&rdquo; why wireless optical tech could make all the difference for data centers, and where the technology could go next. Hint: it involves robots.

Join host Diana Goovaerts and other Fierce Network editors as they explore the stories behind some of the hottest topics in tech and telecom. Want the inside scoop on broadband, wireless, artificial intelligence and cloud? You'll find it here.

Join host Diana Goovaerts and other Fierce Network editors as they explore the stories behind some of the hottest topics in tech and telecom. Want the inside scoop on broadband, wireless, artificial intelligence and cloud? You'll find it here.

Host Alejandro Piñero leads in-depth discussions on 5G connectivity, AI, networking and more.

The Five Nine

Join host Diana Goovaerts and other Fierce Network editors as they explore the stories behind some of the hottest topics in tech and telecom. Want the inside scoop on broadband, wireless, artificial intelligence and cloud? You'll find it here.

Fiber without the fiber?

Fierce Network’s Diana Goovaerts explores how AI could reshape the telecom customer experience — moving operators beyond speed, coverage and reactive support toward more proactive, personalized and trusted service.

The Five Nine features interviews with MCE Systems’ Alan Minney and First Orion’s Josh Whitehurst on where AI may show up first for telecom providers, from outage notifications and device health to customer care, fraud prevention, trusted calling and smarter use of customer data.

The big question: Will telecom’s AI race be won by the operator with the flashiest chatbot — or the one that can quietly reduce friction before customers ever need to call?

Fierce Network&rsquo;s Diana Goovaerts explores how AI could reshape the telecom customer experience &mdash; moving operators beyond speed, coverage and reactive support toward more proactive, personalized and trusted service.
The Five Nine features interviews with MCE Systems&rsquo; Alan Minney and First Orion&rsquo;s Josh Whitehurst on where AI may show up first for telecom providers, from outage notifications and device health to customer care, fraud prevention, trusted calling and smarter use of customer data.
The big question: Will telecom&rsquo;s AI race be won by the operator with the flashiest chatbot &mdash; or the one that can quietly reduce friction before customers ever need to call?

Can AI fix telecom’s customer experience problem?

AI is moving fast in telecom — but turning demos into real network operations is another story.

In this episode of The Five Nine, AT&T’s Mark Austin and GSMA’s Louis Powell break down what it takes to build AI that actually understands telecom networks, from domain-specific models and agentic systems to guardrails, model routing, token economics and the hard reality of running AI at production scale.

AI is moving fast in telecom &mdash; but turning demos into real network operations is another story.
In this episode of The Five Nine, AT&amp;T&rsquo;s Mark Austin and GSMA&rsquo;s Louis Powell break down what it takes to build AI that actually understands telecom networks, from domain-specific models and agentic systems to guardrails, model routing, token economics and the hard reality of running AI at production scale.

How AT&T and GSMA are building AI for telecom networks

This week, we dig into why the AI infrastructure conversation is shifting from compute scarcity to the memory wall. As large language models get bigger and enterprises move from training to high-volume inference, memory, storage, networking and GPU utilization are becoming critical to AI performance and economics.

Featuring insights from Jason Hardy of NVIDIA and Val Bercovici of WEKA, this episode breaks down why inference workloads are fundamentally different from training, how agentic AI increases pressure on memory systems, and why idle GPUs can turn into a costly problem for enterprises building AI factories.

This week, we dig into why the AI infrastructure conversation is shifting from compute scarcity to the memory wall. As large language models get bigger and enterprises move from training to high-volume inference, memory, storage, networking and GPU utilization are becoming critical to AI performance and economics.
Featuring insights from Jason Hardy of NVIDIA and Val Bercovici of WEKA, this episode breaks down why inference workloads are fundamentally different from training, how agentic AI increases pressure on memory systems, and why idle GPUs can turn into a costly problem for enterprises building AI factories.

Fiber without the fiber?

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