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By Elio Cespedes Bravo - Thu, 08/20/2026 - 07:30
AI in Latin American mining requires reliable data governance, integrated systems, and human expertise to drive results, writes Elio Cespedes.
https://mexicobusiness.news/tag/data-quality
More AI, Cloud & Data
By Selene Diez Reyes - Mon, 07/20/2026 - 06:30
AI is redefining software quality. True innovation now requires AI governance, data transparency, and trusted compliance, writes Selene Diez.
By Jose Angel Tinoco - Mon, 05/18/2026 - 08:30
Cloud initiatives must prioritize business objectives over technology to ensure ROI and effective hyper-personalization, writes José Angel Tinoco.
By Adrián Álvarez del Castillo - Thu, 05/14/2026 - 06:00
Customer value is an organizational capability, not just a metric, driven by trajectories and differentiated decisions, writes Adrián Alvarez.
By Antonio Vizcaya - Tue, 05/12/2026 - 07:00
Morgan Stanley data shows 92% investor interest in sustainability, driven by performance and demand for credibility, writes Antonio Vizcaya.
By Jothi Narayanan Venkatachalam - Tue, 04/21/2026 - 11:00
Engineering trust: Metadata-driven Ingestion Framework builds trusted, AI-ready data platforms.
By Jorge Mandujano - Fri, 03/27/2026 - 07:30
AI success for telecoms requires a strategy-first approach, balancing automation with human empathy to optimize experience, writes Jorge Mandujano.
By Carolina Ruiz - Fri, 11/28/2025 - 08:30
Before machines take the lead, Mexican companies must get their processes, their data, and their cybersecurity in order, writes Carolina Ruiz.
By Hugo Garduño - Mon, 10/27/2025 - 08:03
The future of farming won’t be just digital. It will be context-aware, autonomous, and human-centered. And possibly Mexican. Hugo Garduño explains.
By Andrea Valeria Díaz Tolivia - Thu, 10/23/2025 - 09:57
Apogee discusses AI, automation, partnerships, deepwater frontiers, data evolution, and Mexico’s role in the global oil and gas services market.
By Diego Valverde - Fri, 10/17/2025 - 13:35
Snowflake's AI Data Cloud platform aims to eliminate the complexity and silos that hinder real-world adoption.
