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Open RAN closes the third quarter with more revenue than in 2021

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According to the latest report published by Dell’Oro Group, the Open RAN movement (radio access networks) has grown in the third quarter of this year more than was initially expected.

95% of this growth is represented by Asia Pacific and North America regions, especially the latter, with a growth and acceptance rate of more than 80%. And this is all due to non-massive macro MIMO and large-scale massive MIMO implementations.

The situation repeated during the first three quarters has been identical. Samsung, Fujitsu, NEC and Mavenir have led the sector with the most total revenue. The open standard Open RAN consolidates in the telecommunications industry as an agile and representative alternative. The evolution is such that the data from the last Report is surprising, since it determines that the strength of said growth has given it a favorable position and reached double the income than during the same period of 2021.

The report leaves us revealing data, such as the adoption of Open RAN is having a very limited impact on the RAN market, but with very good short-term growth prospects, since it is expected that by 2023, this technology will represent between 6% and 10% of the entire RAN market. However, this year’s growth rates will ease in the coming quarters.

Stefan PongratzDell’Oro Group’s vice president, says that while Open RAN business revenues continue to rise surprisingly in the midst of the economic and price crisis, the message being communicated has not changed and remains mixed.

However, experts, such as Pongratz, are not very sure about how the adoption of this Open RAN technology will be on a larger scale, since classic RAN vendors are integrating it at very different rates.

Similarly, Pongratz argues in favor of Open RAN: “It is more important than ever to understand how this movement is impacting the dynamics between established and new vendors.”

data for the second quarter

In the same study published by the Dell’Oro Group at the conclusion of the first semesterit was determined that O-RAN and Open RAN and baseband revenue grew significantly, especially in North America, quadrupling revenue in the same period last year.

The study on the influence of Open RAN closed showing that represented just over 5% of the entire RAN marketalthough predicting that in the future it will develop and expand much more in the telecommunications sector.

The future is set by Open Ran

Technologys applied to telecommunications, OpenRAN Y vRAN, are gaining weight in the world market. In fact, Open RAN is expected to accumulate revenues of almost 20,000 million dollarsor what is the same, 15% of the total income of RAN by 2026.

The demand for open radio networks has also increased their forecasts. To this is added the evolution at the same rate as the greenfields and the first users of brownfield, who are aggressively implementing Open RAN. “The remaining brownfields, which also make up the majority of the market, are being more cautious about making this transition,” Pongratz says.

Looking ahead to the coming years, it is expected that both Asia Pacific and North America will be the leading regions, coming mainly from the macro implementations of Open RAN, which will represent more than 90% of the whole market.

And it is that RAN Technologys based on open standards are having more and more weight among the main operators with the aim of stimulate their competitiveness and considerably reduce prices.

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OpenAI announces ChatGPT Plus, a paid version of its AI chatbot, for $20 per month

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Just a few days ago OpenAI announced that it was preparing a paid version of ChatGPT. And it’s ready: ChatGPT Plus. with her, for 20 dollars a monthits users will have priority access to this chatbot, even during peak hours of use of this Artificial Intelligence text generation system.

Users who do not pay to access ChatGPT Plus will therefore have to wait for paid users to let it go. The plan also promises to offer faster response times, as well as priority access to new features and improvements that OpenAI releases for the chatbot in the future.

For now, OpenAI will send messages to start subscriptions to ChatGPT Plus to users who are in the United States and are signed up to the waiting list of those who want to subscribe to the ChatGPT payment plan in the coming weeks. For now there are no deadlines or dates for the expansion of the service to other countries, and OpenAI has limited itself to saying in this regard that it will open the plan to other countries and regions in the future.

Just a few days ago there was speculation about the price that the monthly subscription to ChatGPT Plus would have. According to various rumors it was going to be much higher, and that it was going to cost up to 42 dollars a month, which would make it difficult for small companies and research groups and organizations to access it. At $20 a month, it will be accessible to more people and entities that need reliable access to texts generated by Artificial Intelligence.

Furthermore, this price, and its features, could set the stage for a standard in the capabilities and cost of other Artificial Intelligence chatbots appearing on the market. Of course, from OpenAI they have been quick to make it clear that ChatGPT is not going to become a tool without free options. Its managers have ensured that there will continue to be free access to the chatbot, thanks to the fact that paying users will contribute to it with their monthly payments. For now, they continue to advance in their development, for which they are going to hire new specialized personnel.

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OpenAI invests in ChatGPT coding and programming with new hires

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OpenAI invierte en la codificacion y programacion de ChatGPT con la contratacion de nuevos profesionales

Despite the massive layoffs taking place in the technology sector, Open AI commitment to the recruitment of personnel for the creation of new artificial intelligence models that allow them to improve their products, among them, ChatGPT. The objective of the company co-founded by Elon Musk would be incorporate 1,000 new workers in different countries around the world to work on creating improved code in their AI tools.

Of those thousand new employees, about 600 (40%) are programmers whose work will focus on AI performing software engineering tasks. The remaining 60% will focus on the ‘data labeling’, that is, in the creation of raw data (text, audio, images and videos) that will then be labeled to specify the context in which the AI ​​is developed. The profile currently most in demand by OpenAI would be that of python developera highly qualified programming language.

This study, included in a Semafor report, shows that new hires will have to create training data that will encompass from lines of code to explanations of it in natural language. OpenAI has a tool with these characteristics launched in 2021, OpenAI Codexwhich received training on data pulled from GitHub (Microsoft’s code repository). Similarly, Codex is used by Microsoft to power GitHub Copilot, a service that will help programmers write code.

Open AI Codex masters more than a dozen programming languages and is capable of interpreting simple commands in natural language and creating an interface for existing applications. Regardless, coding could improve ChatGPT’s ability to converse with humans and thus overcome barriers such as those of the Stack Overflow website, which accuses the OpenAI AI tool of not offering reliable answers.

The key to being able to establish improvements in a coding assistant will be to build a system capable of anticipating the effect of its own actions and set up an internal system. Meta’s chief artificial intelligence scientist, Yann LeCunclaimed that there was a great similarity between cruise control systems in cars and coding assistants like Copilot. And it is that if the human does not establish a constant supervision on Copilot, it will end up making almost negligible code errors. The problem resides when we are dealing with a code model that is sometimes executed and sometimes not.

The OpenAI Selection Process

For the election of qualified personnel regarding the programming and control of ChatGPT, OpenAI subjected the candidates to a five hour unpaid coding test having to undertake different tasks. One of them was to explain in writing how they would solve a coding problem and, in the event of detecting errors in the process, explain what they were and how they should be corrected. In the end, the objective is to feed the tool with very specific training data that the human himself marks for it.

The objective of Elon Musk’s company is that these workers can make AI capable of write code for a more precise method, replacing entry-level programmers in the future. Only then will it be possible to strengthen the power of its AI tools, such as ChatGPT, adapting more quickly and intelligently to changes and being able to face the main competing companies in the sector.

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from February 9 you have to pay to use it

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Twitter continue with him trickle of measures aimed at raising their incomeeven if they are deeply unpopular. This is the case of the last one that he has announced: the end of free use of your API. As of February 9, all the services and tools that currently use this API free of charge and that want or need to continue using it will have to pay for it, or simply stop providing the service they provide thanks to it. This was communicated by the company through a thread published on the Twitter Developer account:

From within just a week, therefore, the company will block non-paying developers from accessing version 1.1 of its APIalready considered legacy, and the current one, the V2. For now there is no more information about the amount that the network will charge for using its APIs. It is only known that there will be a basic payment plan, but it is unknown what type of access it will offer. All when there is barely a week left for the change to take place.

This step follows the abrupt changes in the terms of use of said API in recent weeks, after the company suspended access to such popular and relevant apps in its history as Tweetbot and Twitterrific. As a result, many third-party Twitter apps have stopped working and have removed their mobile apps from the iOS and Android app stores. In some cases, as has happened with the creators of Tweetbot, the companies that developed those apps have changed their focus to launch apps for Mastodon and other networks, or are considering doing so in the future.

Meanwhile, confusion and uncertainty is growing among developers using the Twitter API in numerous projects. Also among its users. At present there are thousands of developers who use the Twitter API for, for example, the development of informative bots that publish information in other networks, and in systems related to weather information and other types of data.

In many cases, the free Twitter API has served for the development of projects created as a hobby, which will probably end up not working. It is more than likely that the same will happen with bots that automatically post tweets on other networks, such as the aforementioned Mastodon.

On the other hand, the academic sector, and that dedicated to research, will be greatly affected by this measure. For now, Twitter has not specified whether the announcement to end the free use of its API, on which hundreds of thousands of projects in both sectors depend, also affects researchers and education.

Among the ongoing investigations there are many in sectors such as the study of hate speech and online abuse. In addition, universities often use Twitter to study human behavior in different parts of the world based on what its inhabitants say and share on social networks. Not having free access to the Twitter API will also raise many complications for companies and organizations working to detect the spread of fake news and misinformation.

Twitter’s relationship with developers building products off of its API has always been a complicated one. But for better or worse, that relationship worked, and there have been numerous services and tools that have been born from the Twitter API since its arrival.

Despite several initial rebuffs, on the other hand, Twitter had been working for years to improve the relationship with developers by launching various programs and actions, which has meant that the developer ecosystem around its API was still alive.

This has all been blown up ever since Musk bought the company, and API pay-as-you-go may be the last nail in the community’s coffin. Meanwhile, Twitter continues to increase control over how Twitter users access the network and trying to increase their revenue. And developers will probably change the social network with which to work and create their tools.

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