In the Media

Britain's ambitions for AI raise an uncomfortable question. How much of the technology behind our businesses and public services do we actually need to control? The instinctive answer might be ‘as much as possible’. Governments are investing in domestic compute capacity, data centres are now designated as Critical National Infrastructure in the UK, and dependence on overseas technology providers is attracting greater scrutiny.

How a company responds can shape how customers, employees and other stakeholders view both the immediate issue and the business behind it. Here, members of Forbes Business Council discuss common mistakes businesses make when responding to public criticism that can turn a small concern into a much larger trust problem.

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.

As the global race for artificial intelligence (AI) accelerates, a new form of geopolitical and economic competition is emerging; AI sovereignty. AI sovereignty is broader than data residency alone. It encompasses control over the infrastructure, governance frameworks, compute power, and data ecosystems that underpin AI innovation.

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.

For the past few years, the spotlight has been firmly on AI models. Organizations have poured investment into generative AI, machine learning platforms and large language models. New capabilities appear almost weekly. Yet despite all this progress, a familiar question keeps surfacing in boardrooms and leadership meetings – where is the business value?

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

A Denodo survey of 850 executives on agentic AI adoption finds 56 per cent of organisations say finding trustworthy data is a barrier to deploying AI.

More than half of organisations say finding trustworthy and relevant data remains a significant barrier to AI deployment Businesses are under growing pressure to move beyond AI experimentation and deploy autonomous AI agents capable of making decisions and taking action. Yet new global research from Denodo suggests many organisations have not solved the fundamental data challenges required to make that vision a reality.

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.