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Process automation and low-code, keys for the Public Administration in 2023

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Appiandedicated to the development of low-code solutions, has offered its forecasts for the coming year and the near futureproposing that both process automation such as low-code platforms are going to be key both for the public administration and for companies that operate in highly regulated sectors, such as banking or insurance. This is due, among other things, to the fact that process automation on a low-code platform improves efficiency, as well as speeding up application development up to 10 times.

Both the administration and companies are already assuming that the elements that affect workflows, such as process automation, have to be integrated into automatic processes from start to finish, and do so on a single platform. In this way it is possible to eliminate repetitive work, in addition to improving efficiency. With all this present for 2023, at Appian they have provided a list with their top five forecasts for the near future. That is, by 2023:

1 – Low-code development and efficiency

According to Appian research, 85% of IT professionals believe that Technologys such as low-code, Artificial Intelligence and machine learning will be key to meeting the challenges of IT departments. In addition, they will help companies adapt to changes and streamline work. By 2023, Appian expects to have 68 billion automated processes running on its platform.

2 – Application development 10 times faster

According to a Wall Street Journal study, low-code was already becoming a priority business in 2019, and this level of priority skyrocketed in 2020 due to the pandemic and the need to quickly adapt to circumstances. And according to Forrester, 75% of the companies that create web, mobile or infrastructure apps were using los-code platforms at the end of 2021. In Spain, half of the developers have already used low-code products in 2022, a percentage which will increase during 2023.

3 – Finance and other regulated sectors

In 2023, companies will have to face many challenges related to transparency in finance and visibility of systems in supply chains. They will also have to deal with overseeing environmental policies. To meet the requirements they will need to address, highly regulated industries, including finance and insurance, will need to ensure they are in control of processes at all times. For this they will need to use open platforms that offer them suitable and versatile solutions.

4- Public sector

Investment in low-code technology in general, and in Appian in particular, will continue to grow in revenue and size. Since 2017, when Appian arrived in Spain, low-code has entered various sectors and has contributed to making digital transformation a simpler process. Both for large companies and for public agencies and entities.

This is due to its ability to adapt even to organisms that are traditionally opaque and have completely disconnected information. Just what happens in many areas of the public sector. An example of the usefulness of low-code in this sector is the launch of a new service in a department with a high level of bureaucracy. With the low-code, this service was launched in a matter of weeks, when with the traditional procedure it would have taken a minimum of six months to be ready.

5 – IT skills gap

The governments of many countries have realized that the differentiation of their administrations and companies will come hand in hand with technological excellence. Among them is the Government of Spainwhat by 2025 has been set as a goal a increase of 20,000 specialists in data, Artificial Intelligence and cybersecurity.

Currently there are not enough professionals with sufficient training to cover the needs of the labor market, and low-code development offers the possibility of improving the professional career of professionals without programming experience. That’s because it lets you build enterprise apps quickly and efficiently, with little to no coding. For this reason, low-code platforms will continue to rise in the near future.

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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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