Entering 2023, the world will receive 5 trends of artificial intelligence technology application in many different industries and fields.
For more than a decade, artificial intelligence (AI) platforms have penetrated every corner of social life, from Chatbots, virtual assistants like Siri (Apple) and Alexa (Amazon) to industry. auto mechanics as well as self-propelled vehicles. It’s hard to ignore the impact of this technology.
Currently, the most common technology in perfecting AI is machine learning (ML), advanced algorithms developed to do a specific job, like answering questions, translating or determining routes. , and getting better and better with exposure to more and more data.
According to research by IDC, in 2023, governments around the world and businesses will invest up to 500 billion USD in AI technology. But how will AI be applied and what impact will it have? Here, I will outline the 5 most important AI trends for industries, sectors and society in 2023.
The process of democratizing AI
AI will only reach its full potential when it is disseminated to everyone, and benefits the entire business as well as the organization. In 2023, it will be easier than ever, with more and more applications bringing AI to everyone, regardless of whether they have specialized skills or not. It can range from simple activities like culture suggestions that reduce typing in searching or writing emails, to applications that allow you to create sophisticated reports and visualizations with just one click. click.
With the emergence of more and more no-code and low-code platforms, it’s becoming easier to create your own apps, even if you don’t know how to program if there isn’t an app that meets your needs. . Anyone can create, test and operate AI-based solutions with simple drag and drop or wizard design interfaces.
Examples include SwayAI, a no-code platform used to develop enterprise AI applications, and Akkio platform that can create predictive and decision-making toolkits.
Overall, the democratization of AI will help businesses and organizations close the AI skills gap caused by a shortage of data scientists and AI software engineers. From helping people to the knowledge of data scientists and software engineers, we will all have easy access to the capabilities and benefits of AI.
AI Create Birth
If you ask someone what AI is most useful for, most will probably answer that the technology is primarily intended for automation and repetitive tasks. While this is partly true, an increasing number of courses are focused on developing AI tools and applications capable of replicating one of the skills found only in humans, creative thinking.
Generating AI algorithms will collect data from video, images or audio, even computer programs, and use them to create completely new content, never before seen in the real world. One of the most famous generative AI models is GPT 3 developed by OpenAI, which is capable of generating human-like text and prose. Another version of GPT3 called DALL-E is used to generate images.
The technology has achieved considerable success thanks to experiments such as the famous deepfake videos featuring actor Tom Cruise’s face and the attention-grabbing performance at America’s Got Talent. Got Talent) of the Metaphysic team in 2022. By 2023, we will see an even greater degree of application to create surreal data that can be used by businesses for all sorts of purposes.
Fake video and audio data can meet the needs of recording as well as recording, only you enter the generator to generate what you want the audience to hear and see, AI will do it for you.
AI Ethics and Interpretable AI
The development of interpretable AI and AI ethical models is critical, with a focus on trust. AI needs data to learn, and this sometimes means personal data. For many schools the most useful and active AI use may lie in highly sensitive data such as health or financial information.
If we don’t trust or understand how AI makes decisions, we simply feel unsafe to entrust our information and the whole process collapses.
2023 will be the time to launch efforts to solve AI problems. Individuals/organizations applying AI systems will have to work extra hard to ensure that they can explain how AI makes decisions and what information is passed into the platform. The role of AI ethics will also become important, as organizations work to remove prejudice and injustice from AI decision-making automation systems.
Wrong data in automatically generating results has led to bias, which can cause motionless confusion, which is unacceptable in a world where AI will play a role in decision-making. regulations relating to employment and access to the legal system and to health care.
Enhance work
As we move into 2023, many of us will be working with robots and intelligent machines, developed to make work better and more efficient. It could be smart handheld devices that give us quick access to data sources and access to analytical capabilities, as AI is increasingly used in retail as well as in factories.
Thereby, devices using augmented reality (AR) can integrate virtual information into the real world around us. For maintenance or production purposes, these devices can provide real-time information and assist humans in determining the level of danger, as well as the risk to our lives. For example, indicate where there is a leak in a wire or an overheated part.
Managers and team leaders will have access to digital dashboards and real-time reporting, instantly updated with the latest assessment of business performance. AI-based virtual assistants will also become more popular in the workplace with the ability to quickly answer questions, in addition to automatically suggesting alternative and more effective solutions. to complete the job.
Overall, AI will become an irreplaceable work skill in developing the ability to work with intelligence. I can say that for many of us, this technology will go a long way in reducing the anxiety about our roles being unnecessary.
AI in Sustainable Development
In 2023, every company will be under pressure to reduce their carbon emissions and minimize their impact on the environment. Thereby, the competition in applying and generating profits from AI technology can be both good and bad. AI algorithms, as well as critical support and transport infrastructure such as cloud computing and edge devices, require large amounts of human resources and performance.
A study published in 2019 found that training a deep-learning model can emit 282 tons of carbon. But at the same time, this technology can help companies understand how to build products, services and infrastructure in a more energy-efficient way, from identifying resources that are being wasted and inefficient.
Efforts to create a more environmentally friendly and renewable energy infrastructure are also part of the driving force behind more sustainable AIs.
Can become a driver of sustainability in other industries and sectors. For example, computer vision technology combines with satellite imagery to identify deforestation and illegal logging in tropical forests, as well as illegal fishing affecting biodiversity. biodiversity in the ocean.
In 2022, I expect to see continued deployment of AI initiatives aimed at solving some of the world’s most pressing problems, rather than just focusing on increasing business profits. Karma.
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