Page 15 - Paramount PR Report - April 2025

AI's full force: secured

30 APR AI’S FULL FORCE: SECURED

Posted at 10:00h in AI, Features, Selected-Features by Mike Dingle

Premchand Kurup, CEO of Paramount Computer Systems FZ-LLC explores how to unlock the full potential of AI with effective security for
organisations.

The UAE and Saudi Arabia are currently racing ahead with artificial intelligence (AI) adoption, each advancing ambitious national strategies –
such as the UAE’s National AI Strategy and Saudi Arabia’s Vision 2030, to cement their status as the global AI leaders. This also reflects a
broader shift, where governments and enterprises are harnessing the disruptive power of AI.

Yet, despite this growing recognition, around 70 per cent of the companies consider AI as a critical and powerful business tool and only 14 per
cent have scaled its use across all their operations. This stems from a mix of factors, including poor data, unclear strategy, security concerns,
and a lack of skilled talent. To truly unlock AI’s potential, businesses must address these challenges, especially those associated with
cybersecurity.

Evolution of AI integration in Middle Eastern businesses
Enterprises leverage AI to streamline operations, enhance decision-making and drive efficiency through intelligent automation, while
government entities use it for urban planning, smart city management and public service delivery.

However, as AI becomes more deeply embedded in business operations, it introduces unprecedented security challenges. Many organisations
lack a clear, enterprise-wide strategy for AI, leading to siloed pilot projects that do not scale. Data quality is another major barrier as poor,
inconsistent, or siloed data limits the effectiveness of AI models. Security and compliance concerns also play a role, as businesses fear data
breaches, AI misuse and regulatory fallout.

Additionally, many organisations lack AI-literate leadership and specialised talent. The high cost and complexity of computing infrastructure
required to train and run advanced AI models also make scaling a resource-intensive effort.
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