Tag: #ResponsibleAI

AI Conference 2026 — When Observations Become Confirmation About Real AI Systems

The AI Conference 2026 highlighted the evolution of AI discussions from theoretical capabilities to operational realities. Key themes included the importance of data quality, operational complexity, and risk management. Attendees noted a shift in software development roles towards reviewing AI outputs, emphasizing the need for understanding real problems rather than solely implementing complex solutions.

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The Rise of Agentic AI and Managing Expectations

This blog discusses the emergence of agentic AI, capable of planning and executing complex tasks autonomously, contrasting with traditional generative AI. The post emphasizes the importance of managing expectations, oversight, and ensuring transparency due to the unpredictability, including potential hallucinations associated with these systems. LangGraph is highlighted as a powerful tool for developing agentic workflows.

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