Garbage In Garbage Out Why Clean & Secure Data Makes or Breaks AI Piyush Mehta
Автор: Clouds & Codes with AI
Загружено: 2026-02-26
Просмотров: 9851
Описание:
In this episode, Antrixsh Gupta sits down with Piyush Mehta (Founder & CEO, Data Dynamics) to unpack a simple truth most teams ignore: AI is only as good as the data you feed it. From “garbage in, garbage out” to real-world mistakes with unstructured data, they discuss why data classification, cleansing, and security are now mandatory foundations for any successful AI initiative.
They also explore what’s changing fast—AI moving from co-pilot to more autonomous systems, the rise of data sovereignty challenges across geographies, and why infrastructure and governance are becoming the real bottlenecks. Piyush shares practical advice for professionals: become a strong troubleshooter who can interpret outputs, refine systems, and keep humans in the loop for accuracy and ethics.
Key topics:
Why most AI failures start with poor data quality
Data classification + cleansing for safer AI training
Securing unstructured data at scale
Global data sovereignty and compliance complexity
Co-pilot today vs autonomous data management tomorrow
Skills to stay relevant: troubleshooting, governance, and judgment
Guest: Piyush Mehta — Founder & CEO, Data Dynamics
Host: Antrixsh Gupta — Data Scientist
#artificialintelligence #datasecurity #datamanagement #genai #datagovernance #dataclassification #aiengineering #mlops #datasovereignty #cybersecurity #agenticai
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