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Top 6 AI trends in 2023


As the year comes to an end, it’s time to reflect and see what the next year is all about. Technology is developing at an unprecedented rate and new tech trends are popping up every day. In this blog post we prepared for you upcoming AI trends in 2023.

Generative AI

Over 2022 there was a boom of creative AI machines. Even an artwork made by AI won first place at the Colorado State Fair’s fine arts competition this year. Generative AI uses unsupervised learning algorithms to create new content like text, videos, images or music. It can be used in a variety of different fields – not only art per se. It can generate ideas for home renovation or help us understand how cancer cells work. Marketers can also use generative AI to create relevant ads or content. Gartner predicts generative AI will account for 10% of all data produced by 2025.

Digital twins in healthcare

Artificial Intelligence is revolutionizing healthcare. With the help of digital twins, AI enables the automation and customization of research and trials in developing drugs and vaccines. AI significantly increases diagnostic accuracy and helps monitor disease progression using Machine Learning (ML), Natural Language Processing (NLP), and Neural Networks. By using digital twins as replacements for patients in real life, hospitals can save money on personnel costs and on research projects. By creating an accurate replica of a patient’s brain, scientists can study diseases more accurately and learn how treatments work on human cells.

No-code/ Low-code

The democratization of AI makes it accessible to everyone, not just tech-savvy professionals. This means there’s little to no barrier to entry when it comes to embracing AI in everyday business processes. One of the examples being the rise of no-code or low-code technologies. With simple drag-and-drop features, anyone with a vision can bring the application to life. This also helps with the shortage of skilled data scientists. Low-code/No-code technologies can be used by anyone enabling businesses to develop new applications.  

Adaptive AI

Adaptive AI can be used to continually enhance the customer experience with each  repetition of an encounter between a customer and a company. 

 Adaptive AI is a machine learning method intended to improve and optimize procedures. It employs real-time feedback while examining data and behavior. Adaptive AI systems are able to quickly learn from real-world experiences and modify their behavior to suit changing requirements. Recommendation engines will advance, producing recommendations that are truly relevant to clients and AI-driven chatbots will continually refine their conversational skills. Real-time protection against online attacks is another benefit of adaptive AI. It can also be used to forecast upcoming customer experiences, create emotional bonds with brands, and provide individualized solutions. In fact, it’s a self-sustaining mechanism, and is expected to become a critical tool for businesses.

AI Model Explainability

As AI becomes increasingly present in people’s lives, more wants to know how exactly the models work. This is being driven by internal stakeholders who need to trust the models they are using, consumers who are impacted by model decisions, and regulators who want to make sure that consumers are being treated fairly. Explainable artificial intelligence is a set of processes and methods that allows human users to comprehend and trust the results and output created by machine learning algorithms.

New jobs

In 2023, it is predicted that the new tools and powers of AI will emerge to the disappearance of a few human jobs as the AI will take over and complete the tasks faster and with lower error. However, the rise of AI will create some new jobs, such as controlling these tools, but only those educated enough to use the power will be able to get these jobs. A report from the World Economic Forum shows that by 2025, 85 million jobs will be replaced by machines with AI, but 97 million new jobs will open by the same year. Many AI applications are already helping humans to do their job better, to make our life easier. History has taught us that after the so feared Industrial Revolution we became more productive, the costs of production decreased and the quality of life improved. Therefore, the AI revolution will likely –we believe– upgrade our standard of living and open up more options.

Key Takeaways

Next year is expected to bring us some interesting advancements in the AI sphere. We will see more and more use for AI in every industry. We’ll see AI creating content, helping in testing vaccines and drugs, providing real-time recommendations, being used by ordinary people to create new applications, providing insights to its results and creating new jobs. Companies should stay updated on these developments and use these opportunities for competitive advantage.



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