In the Media

Negli ultimi anni il dibattito sulla trasformazione digitale si è progressivamente spostato dai dati all’intelligenza artificiale. Le organizzazioni investono in modelli più sofisticati, piattaforme più potenti e maggiore potenza di calcolo, nella convinzione che sia l’AI il principale fattore di vantaggio competitivo.

È quanto emerge dal recente The AI Trust Gap in Financial Services & Insurance Report, uno studio condotto a livello globale da Denodo, leader nell’ambito della gestione dei dati, che evidenzia diverse lacune tra ciò che un’AI affidabile richiede e quanto le organizzazioni sono davvero in grado di fornire.

La sovranità digitale richiede un equilibrio concreto: proteggere dati e servizi critici senza interrompere la circolazione delle informazioni necessaria a innovazione, interoperabilità e crescita.

Thai companies are not shy of being experimental. Deloitte’s Thailand Digital Transformation Survey puts 61% of businesses attempting to implement AI, but only 19% have successfully scaled AI across the enterprise. That means 81% remain in the pilot or experimentation stage.

Angel Viña, PhD, is the Founder & CEO of Denodo Technologies, overseeing the company's vision, corporate strategy and worldwide expansion.

Volume-first data strategy served the BI era but falls short for agentic AI, where the constraint on readiness is context and governance rather than how much data exists.

Denodo is an international company dedicated to data management and integration, specializing in data virtualization and logical data management. Q&A with Bernardo Godar, Regional Vice President and General Manager for Iberia and Latin America

Organisations across the Gulf are accelerating AI investment but struggle to scale deployments due to poor data readiness, governance and siloed use cases. Experts warn that business-aligned strategies and live, trusted data — not just sophisticated models — determine enterprise AI success.

Artificial intelligence is rapidly moving from pilot projects into core business operations across the Middle East. From customer service and financial services to healthcare, energy, manufacturing and government, organisations are increasingly looking to AI to improve efficiency, decision-making and customer experiences.

Middle East organisations face significant challenges when scaling AI across their business operations. According to data from IDC, spending on artificial intelligence in the region is expected to exceed US$3 billion by 2026. However, deploying these systems in pilot projects is often much easier than expanding them across an entire enterprise. The primary challenge is no longer selecting a model, but ensuring the system has access to trusted, relevant, and timely information.