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IDC: How EMEA CIOs can jumpstart AI rollouts

Getting stalled enterprise AI rollouts in the EMEA region moving again will require CIOs to aggressively audit their systems. Over the past 18 months, AI deployments across Europe advanced far beyond initial testing. Companies poured capital into large language models and machine learning, expecting heavy operational upgrades. IDC research reveals that boards are slowing down, […]

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AI’s software development success and central management needs

A survey carried out by OutSystems, The State of AI Development 2026 [email wall], argues that AI has moved into early production phase for many enterprises, primarily inside the IT function. The survey was based on the responses of 1,879 IT leaders, and warns that adoption of AI is in danger of running ahead of

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Anthropic: Claude faces ‘industrial-scale’ AI model distillation

Anthropic has detailed three “industrial-scale” AI model distillation campaigns by overseas labs designed to extract abilities from Claude. These competitors generated over 16 million exchanges using approximately 24,000 deceptive accounts. Their goal was to acquire proprietary logic to improve their competing platforms. The extraction technique, known as distillation, involves training a weaker system on the

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How Amul is using AI dairy farming to put 36 million farmers first

AI dairy farming has found its most ambitious deployment yet – not in a Silicon Valley lab nor a European agri-tech campus, but in the villages of Gujarat, India, where 36 lakh (3.6 million) women milk producers are now being served by an AI assistant named Sarlaben. Amul, the world’s largest dairy cooperative, has launched

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Agentic AI drives finance ROI in accounts payable automation

Finance leaders are driving ROI using agentic AI for accounts payable automation, turning manual tasks into autonomous workflows. While general AI projects saw return on investment rise to 67 percent last year, autonomous agents delivered an average ROI of 80 percent by handling complex processes without human intervention. This performance gap demands a change in

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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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Gallup Workforce shows details of AI adoption in US workplaces

Artificial intelligence has moved into the US workplace, but its adoption remains uneven, fragmented, and tied to role, industry, and organisation. Findings from a Gallup Workforce survey covering the period to the end of December 2025 show how employees use AI, who benefits most from it, and where areas of uncertainty remain. The findings draw

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Databricks: Enterprise AI adoption shifts to agentic systems

According to Databricks, enterprise AI adoption is shifting to agentic systems as organisations embrace intelligent workflows. Generative AI’s first wave promised business transformation but often delivered little more than isolated chatbots and stalled pilot programmes. Technology leaders found themselves managing high expectations with limited operational utility. However, new telemetry from Databricks suggests the market has

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Anthropic’s usage stats paint a detailed picture of AI success

Anthropic’s Economic Index offers a look at how organisations and individuals are actually using large language models. The report contains the company’s analysis of a million consumer interactions on Claude.ai, plus a million enterprise API calls, all dated from November 2025. The report notes that its figures are based on observations, rather than, for example,

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2026 to be the year of the agentic AI intern

After several years of experimentation, enterprise AI is moving out of the pilot phase. To date, many organisations limit AI to general-purpose chatbots, often created by small groups of early adopters. According to Nexos.ai, that model will give way to something more operational: fleets of task-specific AI agents embedded directly into business workflows. Even isolated

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