Create Blog “part-11-agentic-ai-vs-ai-agent” #3130
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Hi Dinesh,
Thank you for the part 11 of the series. It helps to understand the difference between AI Agent and Agentic AI.
I have provided a set of suggestions for changes. However, I would prefer Dale confirms or not the sentence case for the headers before you modify the headers throughout the post part 11.
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THANKS!
Best regards,
Denis
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| tags: | ||
| - Agentic AI | ||
| - "AI Agents " |
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Please remove the double quotes for this tag (AI Agents).
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| Artificial Intelligence (AI) is evolving rapidly, and two terms — Agentic AI and AI Agent — are increasingly appearing in business strategy documents, technical roadmaps, and boardroom discussions. While they sound similar, they represent distinct concepts with different implications for enterprise strategy, operations, and innovation. | ||
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| For business leaders and senior managers, understanding the distinction is not just academic — it can determine whether an AI initiative scales effectively, integrates seamlessly into your operations, and delivers measurable ROI. |
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Suggestion:
...measurable Return on investment (ROI).
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| title: "Part 11: Agentic AI vs AI Agent" | |||
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Please check with Dale for the title. I am not sure whether the title should be as is, or slightly changed as follows:
Part 11: Agentic AI vs AI agent
Rationale: In part 2 of the series, https://developer.hpe.com/blog/from-generative-to-agentic-ai-%E2%80%94-part-2-what-makes-ai-agents-truly-intelligent/, the "AI agent" is written in lowercase, where "Agentic AI" has an upper case "A" for Agentic in other blog posts of the series.
| * Agent B applies regulatory rules | ||
| * Agent C drafts compliance reports | ||
| * Orchestrator Agent manages workflows and escalations | ||
| * An industrial repair assistant that autonomously diagnoses, orders parts, and schedules technicians |
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Maybe add a period at the end of the sentence: ...and schedules technicians.
| <tr> | ||
| <td><strong>Examples of Frameworks</strong></td> | ||
| <td>Rasa, Botpress, Dialogflow</td> | ||
| <td>LangChain Agents, AutoGPT, BabyAGI, Agno Framework</td> |
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Suggestion to be consistent with other blog posts where AGNO framework is mentioned:
Agno Framework --> AGNO framework
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| * LangChain multi-agent orchestration | ||
| * AutoGPT & BabyAGI architectures | ||
| * Agno Framework (for enterprise-grade agent teams) |
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Suggestion:
AGNO framework (for enterprise-grade agent teams)
| * Vector databases (Qdrant, Milvus) | ||
| * LLMs (GPT-4, Claude, LLaMA variants) | ||
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| ## 7. Future Trends |
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To be checked with Dale:
7. Future trends
| * **Agent Marketplaces** – Plug-and-play agents that integrate into orchestrators | ||
| * **Integration with IoT & Edge AI –** Enabling real-time decision-making in physical environments | ||
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| ## 8. Decision Framework for Leaders |
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To be checked with Dale:
8. Decision framework for leaders
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| ## References | ||
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| 1. Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach. Pearson. |
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Do you have a link to this document?
| 1. Russell, S., & Norvig, P. (2021). Artificial Intelligence: A Modern Approach. Pearson. | ||
| 2. LangChain Documentation – https://docs.langchain.com | ||
| 3. Auto-GPT – <https://github.com/Torantulino/Auto-GPT> | ||
| 4. Agno Framework – https://agno.ai |
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Suggestion:
AGNO framework - https://agno.ai
Please note that the link https://agno.ai is not reachable. (error: can't reach this page).
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