The second trend, according to Andrey Belevtsev,
Posted: Sun Jan 19, 2025 7:10 am
is the opinion of Andrey Belevtsev, Senior Vice President of Sberbank PJSC: "From the point of view of practical development, we will see most cases together with the development of multi-agent systems and the acquisition of new capabilities and characteristics by AI agents. In 2025, this area will develop very quickly. More and more skills, specialties and practical tasks in business or in life will be performed by AI agents."
is an important topic for canada telegram all developers - data engineering (an area in the field of information technology that deals with collecting, processing, transforming and storing data for the purpose of their subsequent analysis) and working with high-quality data, including accurate data sources and working with synthetic data: "Models are becoming large, we have already been able to collect and process a fairly significant amount of data in one way or another. And, of course, multimodality, but multimodality associated with humanity. The main request of people is that interaction with the model should be as similar as possible to human communication. The model must be able to interrupt, it must understand video and text input. Our communication with you should be as natural as possible."
Andrey Kuznetsov, director of the FusionBrain laboratory at the Artificial Intelligence Research Institute (AIRI), also believes that multi-agent systems, agent acquisition of new characteristics, and multimodality are the most significant trends in AI research for the coming year: as AI models evolve, the ability of agents to adapt and acquire new skills will be critical to their effectiveness in various applications.
Dmitry Dyrmovsky, head of the artificial intelligence committee of the ARPP "Domestic Software", CEO of the CRT group of companies, believes that the selection of multi-agent systems among AI trends, the acquisition of new characteristics by AI agents, data engineering and work with high-quality data, as well as multimodality, is certainly justified: "These trends are confirmed by real market demand. Among the key players in large businesses, we are recording an increasing interest in the implementation of various agents. To meet this demand, we presented a bot platform with generative artificial intelligence, strengthened a number of products by integrating with the GigaChat neural network model."
In addition to the above-mentioned trends, financial consultant Nina Shukhatovich identified the following trends that will determine the development of AI in 2025:
1. Developing AI models that can explain predictions and decisions, increasing trust and transparency.
2. Neurodiversity or AI disability. We will soon see a trend towards developing AI that takes into account the needs of people with disabilities, making them more inclusive and accessible.
3. A trend towards developing new professions related to the development of AI. Leading universities in the country have already introduced training in such specialties as digital lawyer, specialist in digital rights and technologies.
is an important topic for canada telegram all developers - data engineering (an area in the field of information technology that deals with collecting, processing, transforming and storing data for the purpose of their subsequent analysis) and working with high-quality data, including accurate data sources and working with synthetic data: "Models are becoming large, we have already been able to collect and process a fairly significant amount of data in one way or another. And, of course, multimodality, but multimodality associated with humanity. The main request of people is that interaction with the model should be as similar as possible to human communication. The model must be able to interrupt, it must understand video and text input. Our communication with you should be as natural as possible."
Andrey Kuznetsov, director of the FusionBrain laboratory at the Artificial Intelligence Research Institute (AIRI), also believes that multi-agent systems, agent acquisition of new characteristics, and multimodality are the most significant trends in AI research for the coming year: as AI models evolve, the ability of agents to adapt and acquire new skills will be critical to their effectiveness in various applications.
Dmitry Dyrmovsky, head of the artificial intelligence committee of the ARPP "Domestic Software", CEO of the CRT group of companies, believes that the selection of multi-agent systems among AI trends, the acquisition of new characteristics by AI agents, data engineering and work with high-quality data, as well as multimodality, is certainly justified: "These trends are confirmed by real market demand. Among the key players in large businesses, we are recording an increasing interest in the implementation of various agents. To meet this demand, we presented a bot platform with generative artificial intelligence, strengthened a number of products by integrating with the GigaChat neural network model."
In addition to the above-mentioned trends, financial consultant Nina Shukhatovich identified the following trends that will determine the development of AI in 2025:
1. Developing AI models that can explain predictions and decisions, increasing trust and transparency.
2. Neurodiversity or AI disability. We will soon see a trend towards developing AI that takes into account the needs of people with disabilities, making them more inclusive and accessible.
3. A trend towards developing new professions related to the development of AI. Leading universities in the country have already introduced training in such specialties as digital lawyer, specialist in digital rights and technologies.