There are three major trends in artificial intelligence and machine learning in 2023

News about artificial intelligence (AI) and automatic learning (Machine Learning or ML) surged in 2022 and is expected to accelerate in 2023.

Many claim these technologies will be the most disruptive and transformative ever. Google CEO Sundar Pichai claims that AI will have a more significant impact on humanity than fire or electricity; "It will fundamentally change the way we live and will transform healthcare, education and manufacturing," Sundar said. Well, it’s hard to really imagine its impact, but one thing is for sure: in 2022, AI and ML trends will continue to make headlines around the world. Enterprise demand for automation, coupled with advances in AI/MLhardware, are making the application of these technologies a reality.

New changes in artificial intelligence and machine learning in 2023

1. Virtual Universe

元Cosmos is a virtual world, just like the Internet, Where users can work and play together and get an immersive experience. According to ABI Research, it won’t arrive in 2023 (perhaps for more than five years), but it will become a buzzword and will generate many jobs.

There is no doubt that artificial intelligence and machine learning will be the key to the Metaverse. For example, artificial intelligence virtual bots will allow companies to create a virtual world where users can feel at home and perform tasks and activities in a virtual environment.

2. Intelligent Document Processing (AI)

Intelligent document processing is the process of automating tasks using advanced technologies, rather than using script-based tools designed for limited use cases.

This will be key in 2023 as companies are capturing large amounts of data in the latest data and will require a level of automation to quickly extract insights from it. As a result, “we can expect companies to turn to low-code or no-code implementations like AutoML to capitalize on and sustain the growing momentum of AI/ML,” said Kirk Borne.

Businesses can combine artificial intelligence and machine learning to improve customer support (such as automated responses to emails, questions, and queries) and increase employee productivity (reducing manual work).

3. Edge Machine Learning

“Another concept we will hear more and more about this year is Edge ML, which is developing ML models at the device level without going into the cloud,” said Frederik, CEO of Docbyte. Instead, it is developing ML models on smart devices that can process data locally (using local servers or at the device level), which reduces dependence on cloud networks and the risk of lack of data privacy or possible cyberattacks.

These trends in AI and ML will drive digital business and innovation in the coming years. By 2022, these technologies will increasingly emerge, making it possible to automate and scale companies' tasks and potentially allow them to better understand their impact on society.

Benefits of artificial intelligence solutions for your company

Productivity, efficiency, resource optimization...artificial intelligence services can bring many advantages to your company. To give you an idea, Telecable relies on platforms like DataRobot to automate and intervene in activities such as variable selection and engineering, data preparation, algorithm selection, model deployment, and monitoring. The smallest human being.

By the way, these technologies solve another of the biggest difficulties we have when talking about applying artificial intelligence to companies: the lack of human teams with training and expertise, and attracting and retaining this kind of people. Employee difficulties. Professionals. AutoML enables people with less concentrated skills in data science and analytics fields to create analytical models while addressing the need for training and leveraging resources.

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