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“Scientists have felt left out of the AI craze. That’s the chasm we’re closing”, Bill Fitzgerald, SandboxAQ
SandboxAQ’s Bill Fitzgerald on bringing Large Quantitative Models to Google Cloud’s Marketplace, the reasoning behind pairing with rival frontier LLMs, and why materials discovery reaches the market before drug discovery.
Why Poor Data Quality Makes Most Enterprise AI Fail
Two decades of cleaning data have left it in worse shape than ever, and AI has made the failure impossible to hide. Industry leaders explain what actually needs to change.
One AI system, many rulebooks: how data residency is rewriting global vendor strategy
Multinationals are learning that a single AI architecture cannot cross borders intact, as data residency mandates in the EU, India and the Gulf split vendor strategy and shift advantage to providers built for sovereignty from the start.
Inception42 and NXT Holding sign MoU to accelerate sovereign AI adoption across the UAE
The G42 company and Sahm Holding's AI-native arm establish a five-part collaboration framework, giving Inception42 a distribution channel into a market pushing to move from AI pilots to production.
Backbase acquires Kasisto to embed agentic AI at the core of its Banking OS
The deal gives Backbase banking-grade agentic AI with governance and regulatory controls built in, deepening its push into resolution-driven customer operations.
Healthcare's AI Ambition Is Running Ahead of the Infrastructure Meant to Carry It
A new Nutanix study finds 88% of healthcare organisations consider their infrastructure not fully ready for on-premises AI, even as adoption accelerates and unmanaged shadow AI spreads across clinical and administrative functions.
From Framework Debates to Operational Compliance: How AI Regulation Grew Up
Two enterprise regulatory leaders working across the UAE and EMEA explain why the AI compliance conversation has hardened from principle into practice, and why the obligations that matter most now begin only after a model goes live.
MEA has operationalised data sovereignty faster than Europe, but the control it built ends where its own systems do
New Veeam research finds the Middle East and Africa leading EMEA on turning sovereignty from policy into practice, even as third-party ecosystems, cloud platforms and AI systems emerge as the region’s largest blind spots, posing the question of whether control designed for data an organisation owns can hold once that data moves outward.
Inside The UAE’s Two-Year Agentic AI Push: What Organisations Should Actually Do
With the government committing to become fully agentic and the private sector handed a two-year deadline, technology leaders set out a practical, achievable sequence for getting the foundations right.
Most organisations don't have an AI adoption problem, they have a trust gap: Veeam Report
New Veeam research across 600 senior executives finds that 95% of CEOs say data challenges have slowed AI progress, with the shortfall traced not to technology but to absent executive ownership of the data that AI runs on.
When AI Risk Reaches the Balance Sheet: Twelve Launches Mapping the Agentic Enterprise
Twelve technology launches in a single June fortnight reveal an enterprise market absorbing the consequences of autonomous AI, where frontier models now find and exploit vulnerabilities faster than security, identity, and governance can respond.
M42 and Arcera sign biopharma localisation MoU to deepen Abu Dhabi’s life sciences ecosystem
M42 and Arcera Life Sciences have signed an MoU to advance biopharma localisation, clinical development and genomics-led therapeutics in Abu Dhabi.
Building AI and Deploying It Are Not the Same Thing — China Just Proved It
The Global AI Competitiveness Index, Part 5, introduces a measure that most AI benchmarks omit: who is actually running AI within regulated financial institutions. On that measure, China comes first.
Seven Models, No Control Plane: The Inference Problem Enterprises Created for Themselves
F5's 2026 State of Application Strategy Report documents how the shift from AI experimentation to production inference has outpaced the architectural frameworks needed to govern it.
The trust infrastructure race: how Dataiku wants to make agentic AI shippable
AI agents are moving into regulated, high-stakes workflows. Dataiku’s AI Factory Accelerator with NVIDIA is a bid to make them traceable, controllable, and ready for production.