As we all know, AI is becoming better by the day. Artificial intelligence technologies have done wonders over the years that we thought were impossible. However, it’s still growing. Nevertheless, in 2023, the AI scenario will be very close to what we envisioned. Here are the top 10 AI technologies to watch out for in 2023.
Top 10 AI technologies, which will surprise you
In this blog, we have collected the best and latest 10 of AI, making our lives extraordinary. Some of them will surprise you, so please read this blog till the end.
Natural language generation
It’s nothing new to us that machines process, interpret, and transmit data differently than our brains. This language is understandable only by experts. However, not anymore. This AI technique will transform structured data into human language, reducing human interference.
Image Recognition, the technique for computers to identify specific features in media, has been in use for decades for image searches and advanced services such as identifying license plates, diseases, and personalities.
This AI method bridges the gap between human and computer interactions. The technique transforms human spoken language into a form that computers can process.
This technique will make marketing a lot easier in 2023. Marketing teams and divisions are embracing AI and getting the best outcome. Common examples include automated client segmentation, customer data, and campaign management.
Although humans have mostly done this, AI-generated content such as blogs and news articles has recently become popular.
- AI uses Natural Language Processing and machine learning to automatically create content based on a topic, or sometimes up to 10 pages based on a summary.
Companies implement decision management systems to convert and interpret data into predictive models. AI Decision Management includes rapid decision-making, risk mitigation, and process automation. It is widely used in finance, healthcare, trade, insurance, and e-commerce businesses.
Machine Learning is the mother of Artificial Intelligence. It is what started it all. It is a technique enabling computers to understand large data sets without explicit training. To profit from the use of this AI method in various fields, businesses invest a lot in it. Let’s see some examples of ML.
- In business decision-making, we use statistical models and algorithms.
- Retailers use ML techniques to forecast shifting consumer preferences and behavior by evaluating customer data.
We all know how advanced cyber defense has become. However, hacking and cracking have become even more advanced, severely damaging data security.
- As a solution, we can combine ML with neural networks to have more robust computer and calculation systems security.
Robotic process automation
We have all seen robots in movies and films, but with AI, these are made real to some extent. The automated process automation technology is used to program a software application of the same name (robot), which understands, analyzes, and communicates data.
- Robots assist in automating repetitive, rule-based manual tasks entirely or to some limit.
Deep learning platforms
This branch of AI depends on neural networks. It aids computers in learning by doing like humans.
- Examples include usage in military and aerospace to recognize things using satellites, worker safety by identifying danger, etc.
To summarize, AI is the future of computers. As new and better AI technologies become a trend each year, artificial intelligence will only grow and become more advanced than it already is.