Dijital Tuğla - Bölüm 13: İnşaat Projesi Gecikmeleri, Yapay Zeka Gecikmeleri Etkili Bir Şekilde Ö...

11 Jul 2025 · 33 min
32:52

In this episode of the Dijital Tuğla podcast, hosts Haluk Eginer and Cem Kafadar discuss the chronic problem of construction project delays and explore how artificial intelligence (AI) can help predict, prevent, and mitigate them. They begin by describing the frustration of projects that never finish and the limitations of traditional spreadsheet‑based planning. The conversation moves to modern data sources – drones, on‑site sensors, cameras – and how real‑time monitoring feeds AI models that can forecast delays caused by weather, supply‑chain disruptions, or low productivity. They explain AI’s predictive and scenario‑generation capabilities, giving examples such as anticipating material delivery failures, adjusting concrete pour schedules, or suggesting alternative resource allocations. The hosts stress that AI’s usefulness hinges on clean, comprehensive data and a broader digital transformation that includes cultural change on the construction site; they cite the “Ramazan Usta” archetype as a symbol of resistance to digital tools. Existing AI platforms (Buildots, Alice, Verstyle, etc.) are mentioned as concrete implementations. They also touch on AI‑driven risk management and insurance, where AI could calculate risk premiums before a project starts. Throughout, they compare the current AI wave to past industrial revolutions, warn about potential over‑optimism, and reaffirm that AI should be a decision‑support tool while final judgments remain human. The episode ends with a hopeful outlook that, with proper data, training, and cultural adoption, AI can substantially reduce construction delays and associated costs.

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