News from the AI & ML world
DeeperML
@www.microsoft.com
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The advent of "agentic AI" marks a significant shift in the technological landscape, characterized by AI agents capable of autonomous action. These agents, as seen in enterprise resource planning (ERP) systems, are being deployed to automate tasks, streamline processes, and ultimately redefine how work is done. While the term "agentic AI" might be new, the underlying concept of software agents isn't, tracing back to simple systems with a target function to optimize autonomously. The current excitement stems from the integration of these agents with modern AI systems, enabling them to extract data, interact with systems, and potentially offer new modes of operation within businesses.
The integration of AI agents into business processes, particularly within ERP systems like Microsoft Dynamics 365, is poised to revolutionize operations. Rather than just acting as assistants, these agents function as "digital colleagues," taking on specific tasks and transforming human-dependent processes into intelligent, scalable automation. Organizations are expecting these agents to be moderately or extensively integrated into their company’s AI strategy. This shift promises to reduce manual effort, improve accuracy, and accelerate decision-making across key areas such as finance, supply chain, and project operations.
However, the rise of agentic AI is not without its critiques. Concerns are emerging about whether the increasing reliance on AI-generated content leads to a flattening of ideas and a regression toward mediocrity. There's a growing sentiment that as AI churns out structurally sound but uninspired content, the uniqueness and originality of human thought might be suppressed. Yet, conversely, agentic AI is also being recognized for its potential to empower the disenfranchised, lowering the barrier to entry for research and giving a voice to those who were previously unheard. This duality highlights the need for careful consideration of both the benefits and potential drawbacks as agentic AI continues to evolve.
ImgSrc: www.microsoft.c
References :
The integration of AI agents into business processes, particularly within ERP systems like Microsoft Dynamics 365, is poised to revolutionize operations. Rather than just acting as assistants, these agents function as "digital colleagues," taking on specific tasks and transforming human-dependent processes into intelligent, scalable automation. Organizations are expecting these agents to be moderately or extensively integrated into their company’s AI strategy. This shift promises to reduce manual effort, improve accuracy, and accelerate decision-making across key areas such as finance, supply chain, and project operations.
However, the rise of agentic AI is not without its critiques. Concerns are emerging about whether the increasing reliance on AI-generated content leads to a flattening of ideas and a regression toward mediocrity. There's a growing sentiment that as AI churns out structurally sound but uninspired content, the uniqueness and originality of human thought might be suppressed. Yet, conversely, agentic AI is also being recognized for its potential to empower the disenfranchised, lowering the barrier to entry for research and giving a voice to those who were previously unheard. This duality highlights the need for careful consideration of both the benefits and potential drawbacks as agentic AI continues to evolve.
ImgSrc: www.microsoft.c
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References :
- Bernard Marr: 5 AI Agent Myths You Need To Stop Believing Now
- www.lastwatchdog.com: MY TAKE: Beyond agentic AI mediocrity — the real disruption is empowering the disenfranchised
- www.microsoft.com: A new era in business processes: Autonomous agents for ERP
- drive.starcio.com: Are Engineers Prepared for the Emerging Agentic AI Software Development World?
Classification:
- HashTags: #AgenticAI #AIAutomation #AIRevolution
- Target: General Audience
- Product: AI Agents
- Feature: Autonomous Agents
- Type: AI
- Severity: Informative