Data Phoenix Tech Talks

Dmytro Spodarets
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Data Phoenix Tech Talks is a weekly show for those who want to truly understand, not just stay informed. One expert, one topic, full immersion. We break down technologies under the hood, tackle real-world problems with hands-on solutions, share best practices, and dive into architecture decisions, production challenges, and lessons learned.

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  1. 8月26日

    From Black Box to Trusted Systems: Explainable AI for Enterprise and Government with 3A Agents

    AI systems are increasingly used in enterprise and government environments where transparency, accountability, and trust are essential. However, many high performing models still operate as opaque black boxes, making them difficult to deploy in regulated or mission critical settings. This talk introduces the 3A Agent framework, designed to embed explainability and governance directly into AI driven decision systems. The 3A Agent stands for Agentic, Adaptive, and Autonomous, representing systems capable of self-directed decision making, environmental learning, and independent operation. By combining agent-based architectures with explainable AI principles, organizations can build AI systems that are both powerful and trustworthy. ​Key Highlights ​Why explainability is essential for enterprise and government AI adoption​The risks and limitations of black box AI in regulated environments​The 3A Agent framework and its core principles: Agentic, Adaptive, and Autonomous intelligence​How contextual awareness and interpretable decision analysis improve AI transparency​Strategies for aligning AI systems with organizational policies and regulatory requirements​Practical examples of explainable agent-based systems in enterprise and public sector scenarios

    From Black Box to Trusted Systems: Explainable AI for Enterprise and Government with 3A Agents
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關於

Data Phoenix Tech Talks is a weekly show for those who want to truly understand, not just stay informed. One expert, one topic, full immersion. We break down technologies under the hood, tackle real-world problems with hands-on solutions, share best practices, and dive into architecture decisions, production challenges, and lessons learned.

資料

  • 創作者
    Dmytro Spodarets
  • 活躍年份
    2026年
  • 單集
    1
  • 分級
    兒童適宜
  • 版權
    © Dmytro Spodarets
  • 節目網站
    Data Phoenix Tech Talks