You may be surprised to know that the current trend shows that the AI market will reach $407 billion in the year 2027. With growing interest in recent times, AI technology demand has risen among consumers. It is very beneficial for businesses as it improves efficiency and organizational workflow.
It means, besides bringing benefits to already established companies and corporations, Artificial Intelligence also has the potential to contribute a lot to the global economy as a whole. Recent statistics reveal that 72% of business leaders believe that in the near future, within a couple of years, AI will be in standard use in their businesses. But to compete and relate well with new technologies, a person needs to have an idea about the latest running trends in the market.
Following are twelve such trends of Artificial Intelligence technology that you need to know in 2024. Let’s dive into this!
1. Multimodal AI
While generative AI systems allow users to work with only one input format, such as text, and get the result in that same format, on the other hand, multimodal AI allows a user more options to work with: instead of just text, it also allows users to analyze and create videos and pictures.
AI systems that support multimodal capabilities can help enterprises produce marketing content seamlessly using videos, texts, and images. The quality of user interaction and engagement can easily be enhanced, thus.
2. Edge AI Implementation
Edge AI is a powerful combination of edge computing and AI. It formulates machine learning tasks directly on interconnected edge devices. Wondering how it is possible? Well, that is done by placing AI algorithms on IoT devices, such as drones, smart appliances, or sensors.
Edge AI will make it hassle-free to predict equipment safety for safe working conditions. Besides that, it also provides real-time traffic data and allows better traffic management.
3. Shadow AI
Shadow AI is all about deploying AI systems without the organizations being directly authorized or overseen. This is a growing trend because it cuts down the hiring of extra employees to a minimum and hence increases the productivity of employees.
However, one fact that comes out in the process is that this unauthorized use of the tool comes at a cost: there will be operational, legal, functional, and ethical issues developing in organizations due to this.
4. Agentic AI
Agentic AI embeds deep learning into higher-order systems that also include machine-learning algorithms. For the average AI, it would follow instructions to the letter based on conventional design. However, Agentic AI will make independent decisions, take the lead, revise set actions, and perhaps dynamically change with the circumstance.
Agentic AI can be used for treatment planning, drug discovery, and diagnostics in the healthcare sector. It can monitor the physical conditions of the patients with due efficiency and allow healthcare providers to take an appropriate set of actions.
5. AI Hallucination Insurance Policy
Admittedly, the integration of AI technology can bring a lot of good things to businesses. However, one cannot undermine the seriousness of concerns about the amifications posed by the technology. Many a time, AI hallucination causes privacy violations, brand identity theft, misinformation, and financial losses.
That is where the big picture of AI hallucination insurance comes in, which helps address the probable concerns by protecting people and organizations against the adverse consequences of AI-generated content.
6. Small Language Models
Large Language Models normally require a significant chunk of computing resources for operation. Due to that reason, small language models come into rising demand.
These are compact versions of their large-size models and are resource-intensive. Also, they can be tuned, trained, and deployed in operation without much hassle. That is why they are one of the top priorities for budget-limited businesses.
7. AI-Driven Customer Support
Today, no customer would love to wait and they need quicker solutions to problems. That is where AI technology proves to be beneficial.
With AI inclusion, the customer support systems further disburden employees from redundant tasks to let them perform higher-value activities, all the while ensuring customer satisfaction at a much higher level. It automates repetitive tasks, saves time, enhances user experiences, and makes running businesses smoother.
8. AI-Powered Online Search
The trending emergence of AI technologies is changing the way people interact with information on the internet. Provided that this AI-powered search engine would meet human demands for information, then its outcomes would be more tailored and intuitive.
Apart from providing links, AI goes an extra step in interpreting the meaning behind a search query, predicting what a user may need, and providing the answers to those needs. In that way, users find what they are looking for easily.
9. AI Implementation for Cyber Security
Therefore, with rising incidences of cyber attacks, the adoption of AI technology becomes one smart choice. It delivers a sophisticated defense strategy to users. By detecting unusual patterns and anomalies, AI can reveal unseen malware, zero-day attacks, along with various other emerging threats.
AI can also automate routine tasks such as analyzing malicious emails or sifting through log files. It may also predict the vulnerabilities of the system and cyber threats that might occur in the future and allow the security professionals to take all necessary measures at the right time.
10. Quantum AI
Quantum Computing is founded on the principles of quantum mechanics, applied to information processing. Quantum computers operate with qubits, which perform calculations far faster than ordinary computers, and their sphere of application is much broader, from scientific simulations to cryptography.
Quantum-based AI is going to be used to build more intuitive and natural robots for interaction with humans. While this trend is still in the process of development, it is more probable that in a few years, it will continue further.
11. Open-source AI
These days, companies are looking for means to minimize their overall cost. Therefore, open-source AI tools have been the recent booming trends.
With the use of open-source AI in business, one organization saves on license fees and creates applications based on certain needs. Besides that, it is accessible for every size of business, which makes open-source AI one of the hot trends in 2024.
12. AI Influencers
You must have heard of social media influencers. But have you ever heard of AI influencers? Well, they are computer-generated personalities, designed to be similar to real people, creating content, promoting products, and communicating with followers.
A catch-all for why their growth in popularity is that they are cheaper. Secondly, it’s easy to align the message and image of AI influencers with the preferences of the target audience.
Artificial intelligence continues to be a game-changer in the tech-driven era. You would need to know about AI trends to maximize all the available opportunities and be at par with others.
By this time, you would have known what the latest trends are in artificial intelligence technology. The trends range from multimodal AI and shadow AI to even the rise of AI influencers. Partner with experts in your field, understand the latest trends and uplift the success of your business.
Author: Hari Krishna