T-Mobile to deploy AI technology to resolve technical issues

T-Mobile AustriaTelecom operator T-Mobile has tapped Tupl, an artificial intelligence (AI) company, to resolve complex technical issues through automation by AI.

Benefits of investment in AI technology include high automation level, 100 times faster speed to response, and improved accuracy. T-Mobile will also gain from 100 percent consistent result.

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ResearchAndMarkets.com says the AI in telecommunication market is expected to grow from $365.8 million in 2017 to $2.497 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 46.8 percent.

The increasing adoption of AI for various applications in the telecommunication industry and the utilization of AI-enabled smartphones are expected to be driving the growth of the AI in telecommunication market.

Brian King, T-Mobile’s SVP of Technology Service Delivery & Operations, said: “At T-Mobile, we’re obsessed with the customer experience, and Tupl’s tool has enabled us to respond to our customers much faster on technical issues.”

MarketsandMarkets.com said the global AI market is expected to grow from $21.46 billion in 2018 to $190.61 billion by 2025, at a CAGR of 36.62 percent between 2018 and 2025.

Major drivers for the AI market are growing big data, the increasing adoption of cloud-based applications and services, and increasing demand for intelligent virtual assistants. The major restraint for the market is the limited number of AI technology experts.

Tupl said the company’s ACCR tool enables T-Mobile’s customer care representatives to have detailed reports and technical resolutions to quickly serve customers. Tupl says the ACCR tool is 100 times faster and up to 4 times more accurate than legacy resolution methodologies, providing automation levels around 90 percent.

Tupl CEO Petri Hautakangas said: “We look forward to providing more AI-based solutions that simplify the operations of the T-Mobile network.”

Tupl Tupl, a provider of automating wireless network operations, offers AI solutions that reduce operational costs through efficiencies in network issue detection and resolution. Telecom engineers at mobile operators can use Tupl’s AI Engine, TuplOS, to build use-cases that can be the basis to automate and improve existing processes.

Tupl, headquartered in the US in Bellevue, Washington with presence in Spain, Mexico and Japan, is in the process of growing its global business. It currently works with top wireless operators across the US, Canada, Japan, Mexico, and Europe.

Its AI Engine utilizes machine learning and several other utilities to enable faster innovation cycles for network and customer care operations.