AI Technology Archives

Transforming Wealth Management with Hybrid AI

Wealth management is stuck in the past. Clients live in a world of effortless, hyper-personalised recommendations from YouTube, TikTok, or Amazon, yet banks push products through rule books, clunky segmentation, and advisor guesswork. Banks struggle to keep up with client expectations and the complexity of today’s portfolios. Hybrid AI can change this. By fusing machine learning, portfolio optimization discipline, and the contextual intelligence of large language models, governed by an Agentic AI layer, wealth managers can deliver recommendations that feel smart, personal, and well-timed.

The AI Transformation That Delivers: Why Process, People, and Technology Must Move Together

The Middle East’s digital transformation market is projected to reach $205 billion by 2031. National strategies across the Gulf, from the UAE AI Strategy 2031 to Saudi Vision 2030 and Qatar National Vision 2030, are anchoring unprecedented investment in AI infrastructure, sovereign capability, and economic diversification. The commitment is real. But the defining question for every large organization is whether that investment produces enterprise-wide transformation or stays a collection of disconnected pilots.

Detecting Hallucinations in LLMs, One Token at a Time

Large Language Models are astonishingly capable. They summarize, translate, reason, and code (better than me). But unlike me, they have also become notorious for inventing facts with unnerving confidence.

Surviving the SaaSpocalypse: Evaluating AI Disruption in Software Portfolios

Whilst tongue-in-cheek, I’ve always found the advice ‘never make predictions, especially about the future’ to be solid, and never more so than in AI-land. Three years ago AI was touted as an accelerant for modern, cloud-native software companies; super-charging well-staffed, industry-leading developer teams to deliver better products at an increasingly accelerated rate.

Scaling AI in the Middle East’s “Year of Execution”

As we move through the second quarter of 2026, the global dialogue around AI has reached a critical turning point. The initial fascination with generative models has matured into a demand for measurable industrial impact. In the Middle East, a region currently serving as a global laboratory for the world’s most ambitious digital giga- and megaprojects, the question is no longer about AI’s potential, but about its performance at scale.

China AI Transformation – A Different Game

From the breakout of DeepSeek R1 to the viral “Raising a lobster” trend (OpenClaw adoption), all within just a year, AI in China is being adopted and scaled in a fundamentally different way, rapidly translating into tangible commercial value.

Agentic commerce: From AI use cases to end-to-end reinvention. Are you ready?

At the recent TCG Retail Summit, Edouard de Mézerac set out to cut through the noise around AI. His message: the era of scattered use cases is over. What comes next is something far more structural and far more demanding. For years, companies have experimented with AI in isolated pockets described as “dots of colour” across the organization. Useful, perhaps. Transformational? Not quite. Now, the ground is shifting. Agentic AI isn’t about adding another layer of technology. It’s about rethinking how work gets done, end to end.

How Health AI Assistants (and GEO) will transform Patient and HCP experience and what Pharma has to do to be an active part of it

A patient wakes up with recurring back pain and asks an AI assistant what to do. The app checks its history, notes a previous prescription, and suggests switching to a different anti-inflammatory. Your molecule isn't mentioned. By the time the patient sees their doctor that afternoon for a prescription, the framing is set.

Is AI really getting cheaper? The token cost illusion

Imagine a CFO reviewing the quarterly cloud spend. The AI team presents a compelling chart: per-token inference costs have dropped 75% year-over-year. The models are faster, the APIs are cheaper, and the vendor is offering volume discounts. Everything points toward savings. Then the actual invoice arrives, and the total is higher than last quarter.