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PyCon Africa 2026: AI agents and data take center stage

By PulseAugur Editorial · [2 sources] ·

During PyCon Africa 2026, discussions focused on the practical aspects of AI agents and data. One session explored how to evaluate the correctness of AI agents using logs, traces, and feedback mechanisms, emphasizing an iterative improvement process. Another talk highlighted the critical role of data in AI, particularly the "last mile" of data preparation that underpins model performance. AI

IMPACT Highlights the importance of evaluation and data quality for practical AI agent deployment.

RANK_REASON The cluster discusses talks at a conference about AI agents and data, which falls under commentary on AI development and application.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

PyCon Africa 2026: AI agents and data take center stage

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The cluster discusses talks at a conference about AI agents and data, which falls under commentary on AI development and application.
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2 independent sources
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product, other
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High
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32 days old
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COVERAGE [2]

  1. Mastodon — mastodon.social TIER_1 English(EN) · pyconafrica ·

    Day 3 of PyCon Africa 2026 and the question in the room: your AI agent ran, but did it run correctly? 🐍🤖 Daniel Akhabue spoke on “All Seeing, All Knowing: Evalu

    Day 3 of PyCon Africa 2026 and the question in the room: your AI agent ran, but did it run correctly? 🐍🤖 Daniel Akhabue spoke on “All Seeing, All Knowing: Evaluating Production AI Agents with Logs, Traces and Evals,” covering rule-based evals, LLM-as-judge and human feedback, bui…

  2. Mastodon — mastodon.social TIER_1 English(EN) · pyconafrica ·

    Day 3 of PyCon Africa 2026, and the AI/Agentic track put the spotlight on the part of AI that doesn’t get enough airtime: data. 🐍📊 Roland Gafana of AI Studio ga

    Day 3 of PyCon Africa 2026, and the AI/Agentic track put the spotlight on the part of AI that doesn’t get enough airtime: data. 🐍📊 Roland Gafana of AI Studio gave a talk titled “The Last Mile Is Data,” bringing the conversation back to what sits underneath the models and why the …

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