According to Gartner
Posted: Thu Feb 06, 2025 3:20 am
GenAI will evolve over time to serve useful purposes, says Arun Chandrasekaran, a distinguished vice president and analyst at Gartner. “GenAI is passing the ‘peak of inflated expectations’ as businesses continue to shift focus from the hype around core models to use cases that deliver ROI,” he says. “This is accelerating the development of autonomous AI. While the current generation of AI models lack autonomy, AI research labs are accelerating the release of agents that can dynamically interact with their environment to achieve given goals, though this will be an incremental process.”
, GenAI belongs to an emerging class of AI it calls autonomous AI — AI systems that can operate with minimal human supervision, improve themselves, and make good decisions in complex environments.
“These advanced AI systems, capable of performing any bosnia and herzegovina mobile database that a human can perform, are beginning to move from science fiction to reality,” Gartner says. “These technologies include multi-agent systems, large action models, machine clients, humanoid worker robots, autonomous agents, and reinforcement learning.”
Don’t let AI distract you from other topics, warns Chandrasekaran. “While AI continues to attract attention, CIOs and other IT leaders should explore other emerging technologies that have transformative potential for developers, security, customer and employee engagement, and develop a strategy for using these technologies that aligns with their organizations’ ability to handle unproven technologies,” he says.
Other emerging technologies Gartner says are worth watching include tools to improve developer productivity, such as AI-enabled software engineering, cloud native, GitOps, internal developer portals, hint engineering, and WebAssembly.
In terms of customer experience, Gartner is focusing on technologies such as customer digital twins, spatial computing, super apps and 6G networks.
, GenAI belongs to an emerging class of AI it calls autonomous AI — AI systems that can operate with minimal human supervision, improve themselves, and make good decisions in complex environments.
“These advanced AI systems, capable of performing any bosnia and herzegovina mobile database that a human can perform, are beginning to move from science fiction to reality,” Gartner says. “These technologies include multi-agent systems, large action models, machine clients, humanoid worker robots, autonomous agents, and reinforcement learning.”
Don’t let AI distract you from other topics, warns Chandrasekaran. “While AI continues to attract attention, CIOs and other IT leaders should explore other emerging technologies that have transformative potential for developers, security, customer and employee engagement, and develop a strategy for using these technologies that aligns with their organizations’ ability to handle unproven technologies,” he says.
Other emerging technologies Gartner says are worth watching include tools to improve developer productivity, such as AI-enabled software engineering, cloud native, GitOps, internal developer portals, hint engineering, and WebAssembly.
In terms of customer experience, Gartner is focusing on technologies such as customer digital twins, spatial computing, super apps and 6G networks.