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

adoption, ai, AI (Artificial Intelligence), AI Business Strategy, ai expo, AI Market Trends, Artificial Intelligence, data, enterprise, Features, governance, Governance, Regulation & Policy, How It Works, infrastructure, Infrastructure & Hardware, Inside AI, TechEx Events

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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How SAP is modernising HMRC’s tax infrastructure with AI

ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, Artificial Intelligence, automation, cloud, data, Finance, Finance AI, governance, Governance, Regulation & Policy, government, Government & Public Sector AI, hmrc, Inside AI, public sector, sap, sovereignty, tax

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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Franny Hsiao, Salesforce: Scaling enterprise AI

agentic ai, agents, ai, AI (Artificial Intelligence), AI and Us, AI Business Strategy, AI Market Trends, Artificial Intelligence, data, Features, governance, Governance, Regulation & Policy, How It Works, Human-AI Relationships, Inside AI, Interviews, Salesforce, strategy, TechEx Events, Trust, Bias & Fairness, World of Work

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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Balancing AI cost efficiency with data sovereignty

ai, AI (Artificial Intelligence), AI Business Strategy, Artificial Intelligence, data, enterprise, Features, governance, Governance, Regulation & Policy, Inside AI, Opinion, Privacy, Security, sovereignty, strategy

AI cost efficiency and data sovereignty are at odds, forcing a rethink of enterprise risk frameworks for global organisations. For over a year, the generative AI narrative focused on a race for capability, often measuring success by parameter counts and flawed benchmark scores. Boardroom conversations, however, are undergoing a necessary correction. While the allure of

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SAP and Fresenius to build sovereign AI backbone for healthcare

ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, Artificial Intelligence, data, Healthcare, Healthcare & Wellness AI, Inside AI, medical, sap, Security, sovereignty

SAP and Fresenius are building a sovereign AI platform for healthcare that brings secure data processing to clinical settings. For data leaders in the medical sector, deploying AI requires strict governance that public cloud solutions often lack. This collaboration addresses that gap by creating a “controlled environment” where AI models can operate without compromising data

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Signals for 2026

ai, AI (Artificial Intelligence), AI & ML, Artificial Intelligence, data, deep dive, infrastructure, operations, Security, Software Architecture, software development

We’re three years into a post-ChatGPT world, and AI remains the focal point of the tech industry. In 2025, several ongoing trends intensified: AI investment accelerated; enterprises integrated agents and workflow automation at a faster pace; and the toolscape for professionals seeking a career edge is now overwhelmingly expansive. But the jury’s still out on

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Grab brings robotics in-house to manage delivery costs

ai, AI (Artificial Intelligence), AI Mergers & Acquisitions, Artificial Intelligence, automation, data, platform, Robotics, Service Industry AI

Rising labour costs and tighter delivery margins are pushing large platform operators like Grab to look at automation. It’s moved to bring robotics capability in-house by its acquisition of Infermove. Grab operates at a scale where small efficiency gains can have out-sized effects. Its platform supports millions of deliveries in Southeast Asia, many of them

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A Framework for How Data Informs Decisions The Decision Intelligence / Data Science Integration Framework

Artificial Intelligence, black swan, black swan events, black swan problem, causal decision diagram, chain of reasoning, Complex Systems, data, Data Science, decision intelligence, decision model, integration, key performance indicator, key process indicator, link, link book, Machine Learning, Strategic complexity

As data storage and management becomes less expensive, many organizations are tasked with being “data-driven”. What does this mean in practice? For many, using data to inform important organizational decisions is an important goal. This is the role of Decision Intelligence (DI): a practice that bridges decisions to data. However, it’s not always clear how

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Tesco signs three-year AI deal centred on customer experience

ai, AI Business Strategy, AI in Action, Artificial Intelligence, data, data analysis, Featured, Features, Marketing AI, Retail, Retail & Logistics AI, Service Industry AI, uk, World of Work

For large retailers, the challenge with AI is no longer whether it can be useful, but how it fits into everyday work. A new three-year AI partnership by Tesco points to how one of the UK’s biggest supermarket groups is trying to answer that question. The agreement with French startup Mistral AI is less about

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Retraso en la aplicación de la normativa FRTB: Implicaciones

Advanced Analytics, ai, Analytics, analytics platform, Artificial Intelligence, data, Data Analytics, Data Management, digital transformation, innovation, risk management, 全般

¿Qué es FRTB? El FRTB (Fundamental Review of the Trading Book) es una reforma integral del Comité de Supervisión Bancaria de Basilea (BCBS) para corregir debilidades del marco previo de riesgo de mercado, evidenciadas en la crisis financiera de 2008. Sus objetivos principales son: Marco más robusto: metodología más precisa […] The post Retraso en

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