3 Trends in Artificial Intelligence and Machine Learning for 2023

In 2022 the news about artificial intelligence (AI) and automatic learning (Machine Learning or ML) have skyrocketed and are expected to accelerate in 2023.

Many claims that these technologies will be the most disruptive and transformative ever developed. Sundar Pichai, CEO of Google, claims that the impact of AI will be even more significant than fire or electricity on humanity; "It will fundamentally change the way we live our lives, and it will transform healthcare, education, and manufacturing," says Sundar. Well, it's hard to really imagine its impact, but one thing is for sure: In 2022, trends in AI and ML will continue to make headlines everywhere. The need for automation in the enterprise, coupled with advances in AI/ML hardware and software, is making the application of these technologies a reality.

What's New for 2023 in AI and ML

1. The Metaverse

The metaverse is a virtual world, like the internet, where users can work and play together with immersive experiences. It won't arrive in 2023 (maybe it's more than five years away), but it will be the buzzword and will generate many job opportunities, according to ABI Research.

Undoubtedly, Artificial intelligence and Machine learning will be key in the metaverse. For example, AI virtual bots will allow a company to create a virtual world where its users will feel at home and perform tasks and activities within the virtual environment.

2. Intelligent Document Processing (AI)

Intelligent Document Processing is the process of using advanced technologies to automate tasks instead of using script-based tools designed for limited use cases. 

It will be key in 2023 as companies are capturing a huge amount of data in the latest data and need some degree of automation to extract quick insights from it. As a result, "we can expect companies to turn to low-code or no-code implementations like AutoML to take advantage of and sustain the growing momentum of AI/ML," says Kirk Borne.

Businesses can combine Artificial intelligence and Machine learning to improve customer support (such as answering emails, questions, and inquiries automatically) and improve employee productivity (reducing manual work). 

3. Edge ML

"Another of the concepts that we will hear more and more about this year will be Edge ML, which is the development of ML models at the device level, without the need to go to the Cloud," says Frederik, CEO of Docbyte. Instead, it is the development of ML models on smart devices capable of processing data locally (either using local servers or at the device level) which reduces the dependence on Cloud networks and the risk of lack of data privacy or of possible cyber-attacks.

These trends in AI and ML will drive digital business and innovation for years to come. The growing presence of these technologies in 2022 will make it possible to automate and amplify the tasks of companies and possibly will allow them to understand their impact on society better. 

Benefits of Artificial Intelligence Solutions for Your Company

Productivity, efficiency, optimization of resources... There are many advantages that artificial intelligence services can bring to your company. To give you an idea, Telecable relies on platforms such as DataRobot to carry out activities such as variable selection and engineering, data preparation, algorithm selection, model deployment, and monitoring automatically and with an intervention. minimal human.

By the way, these technologies solve another of the biggest difficulties you encounter when we talk about applying artificial intelligence to the company: the lack of a human team with training and specialized knowledge and the difficulties of both attracting and retaining this type of employee. professionals. AutoML enables people with less focused skills in the areas of data science and analytics to create analytic models while solving the need for training and leveraging resources.