Ericsson Bets on New Software to Spur 5G Revenue Growth

A logo of Ericsson is seen outside the company's office in Kanata, Ontario, Canada April 17, 2023. REUTERS/Lars Hagberg/File Photo
A logo of Ericsson is seen outside the company's office in Kanata, Ontario, Canada April 17, 2023. REUTERS/Lars Hagberg/File Photo
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Ericsson Bets on New Software to Spur 5G Revenue Growth

A logo of Ericsson is seen outside the company's office in Kanata, Ontario, Canada April 17, 2023. REUTERS/Lars Hagberg/File Photo
A logo of Ericsson is seen outside the company's office in Kanata, Ontario, Canada April 17, 2023. REUTERS/Lars Hagberg/File Photo

Sweden's Ericsson said on Wednesday it has partnered with Deutsche Telekom to offer software tools for developers and business customers that will allow telecom operators to get more revenue.

Known as network application programming interface (API), the software will use the Vonage platform - a company Ericsson bought for $6.2 billion in 2022 - to help developers create new use cases based on a mobile network.

Network APIs can be used by businesses for things such as boosting 5G speed when needed to locate a customer's phone in a store when a transaction is taking place to prevent fraud, Reuters reported.

"We view the API business as a standalone business in itself, so we need to make that profitable by itself and the way the revenue split works is attractive for us and will be attractive for Deutsche Telekom," Ericsson Chief Executive Borje Ekholm said in an interview.

Telecom research firm STL Partners predicts that revenue from mobile network APIs will grow to over $20 billion by 2028.

More than 140 companies are working under an open source project called CAMARA to define, develop and test network APIs.

After investing hundreds of billions of dollars on 5G infrastructure, telecom operators have been trying to get returns from selling faster connections to businesses to automating factories, with varying success.

"They (operators) want to get more revenue, they will be able to sell features, whether it's speed, latency, location authentication, they are going to sell a lot of different things coming out of the network," Ekholm said.

"That gives a new source of revenue they haven't had for a long time."



SDAIA Lists ALLaM 7B Arabic Language Model on Hugging Face

SDAIA Lists ALLaM 7B Arabic Language Model on Hugging Face
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SDAIA Lists ALLaM 7B Arabic Language Model on Hugging Face

SDAIA Lists ALLaM 7B Arabic Language Model on Hugging Face

The Saudi Data and Artificial Intelligence Authority (SDAIA) has disclosed the listing of the generative Arabic Large Language Model (ALLaM) —7 billion parameters category— on the Hugging Face platform. This platform, a prominent global open-source repository for natural language processing (NLP) resources, now hosts the nationally developed model, making it accessible to a global audience of developers and researchers for utilization in artificial intelligence applications.
SDAIA asserts that ALLaM is positioned as one of the preeminent generative language models for the Arabic language worldwide, SPA reported.
This initiative aligns with the strategic objectives of the Kingdom's Vision 2030, under the leadership of Prince Mohammed bin Salman bin Abdulaziz Al Saud, Crown Prince, Prime Minister and SDAIA Board of Directors Chairman, who supports SDAIA's mandate to strengthen the Kingdom's position as a global technology hub for artificial intelligence and digital innovation.
ALLaM is a large language model distinguished by its precision and efficacy in the comprehension and processing of Arabic. Its capabilities encompass text summarization, content generation, and other functionalities, positioning it as a tool for the development of smart applications. The model's training, conducted on an extensive and diverse Arabic language dataset, is cited as contributing to its performance across varied operational environments.
According to SDAIA, the availability of ALLaM on the Hugging Face platform is intended to facilitate access for the scientific and technical community, enabling the development of artificial intelligence-driven applications.
The listing on Hugging Face represents a phase in the model's ongoing development. ALLaM was initially integrated into IBM's Watsonx platform, which facilitated advanced Arabic language analysis and processing through artificial intelligence solutions. Subsequently, it was launched on Microsoft's Azure cloud platform, providing developers and enterprises access to advanced cloud computing environments.
During the LEAP25 conference, Qualcomm, in collaboration with the ALLaM development team, announced the model's availability on the Qualcomm AI Cloud. Additionally, the "ALLAM AI PC," a computer incorporating advanced artificial intelligence technologies designed to enhance user interaction with the Arabic language, was unveiled.