governance

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Alibaba Qwen is challenging proprietary AI model economics

The release of Alibaba’s latest Qwen model challenges proprietary AI model economics with comparable performance on commodity hardware. While US-based labs have historically held the performance advantage, open-source alternatives like the Qwen 3.5 series are closing the gap with frontier models. This offers enterprises a potential reduction in inference costs and increased flexibility in deployment […]

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Baran Ozkan — Building the Operating System for Financial Crime Compliance

Executive Summary. Baran Ozkan explains how AI-native systems, false-positive reduction, and workflow clarity are redefining how institutions scale regulated operations without losing audit defensibility. Financial crime compliance is moving from rule-heavy oversight to operational infrastructure. As fintech and banking systems scale in complexity, institutions are being forced to rethink how monitoring, investigations, and audit readiness

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AI Expo 2026 Day 2: Moving experimental pilots to AI production

The second day of the co-located AI & Big Data Expo and Digital Transformation Week in London showed a market in a clear transition. Early excitement over generative models is fading. Enterprise leaders now face the friction of fitting these tools into current stacks. Day two sessions focused less on large language models and more

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Governance isn’t a burden — it’s a business strategy

Regulatory pressure is real. Regulations keep piling up – ESG, GDPR, supply chain due diligence and now the EU AI Act. There’s no sign of it slowing down. And it’s not just regulators watching; customers, partners, and investors have rising expectations. The situation feels like a pressure cooker. Leaders in […] The post Governance isn’t

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AI Expo 2026 Day 1: Governance and data readiness enable the agentic enterprise

While the prospect of AI acting as a digital co-worker dominated the day one agenda at the co-located AI & Big Data Expo and Intelligent Automation Conference, the technical sessions focused on the infrastructure to make it work. A primary topic on the exhibition floor was the progression from passive automation to “agentic” systems. These

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Combing the Rackspace blogfiles for operational AI pointers

In a recent blog output, Rackspace refers to the bottlenecks familiar to many readers: messy data, unclear ownership, governance gaps, and the cost of running models once they become part of production. The company frames them through the lens of service delivery, security operations, and cloud modernisation, which tells you where it is putting its

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How SAP is modernising HMRC’s tax infrastructure with AI

HMRC has selected SAP to overhaul its core revenue systems and place AI at the centre of the UK’s tax administration strategy. The contract represents a broader shift in how public sector bodies approach automation. Rather than layering AI tools over legacy infrastructure, HMRC is replacing the underlying architecture to support machine learning and automated

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Deloitte sounds alarm as AI agent deployment outruns safety frameworks

A new report from Deloitte has warned that businesses are deploying AI agents faster than their safety protocols and safeguards can keep up. Therefore, serious concerns around security, data privacy, and accountability are spreading. According to the survey, agentic systems are moving from pilot to production so quickly that traditional risk controls, which were designed

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Franny Hsiao, Salesforce: Scaling enterprise AI

Scaling enterprise AI requires overcoming architectural oversights that often stall pilots before production, a challenge that goes far beyond model selection. While generative AI prototypes are easy to spin up, turning them into reliable business assets involves solving the difficult problems of data engineering and governance. Ahead of AI & Big Data Global 2026 in

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Inside Standard Chartered’s approach to running AI under privacy rules

For banks trying to put AI into real use, the hardest questions often come before any model is trained. Can the data be used at all? Where is it allowed to be stored? Who is responsible once the system goes live? At Standard Chartered, these privacy-driven questions now shape how AI systems are built, and

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