Data Engineering & MLOps

AI Business Strategy, Automation, autonomous agents, compliance, cybersecurity, Data Engineering & MLOps, data-privacy, enterprise-ai, Features, governance, Governance, Regulation & Policy, How It Works, identity access management, Inside AI, kiloclaw, shadow AI, strategy

KiloClaw targets shadow AI with autonomous agent governance

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With the launch of KiloClaw, enterprises now have a tool to enforce governance over autonomous agents and manage shadow AI. While businesses spent the last year securing large language models and formalising vendor agreements, developers and knowledge workers started moving on their own. Employees are bypassing official procurement, deploying autonomous agents on personal infrastructure to […]

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ai, Automation, Data Engineering & MLOps, data-governance, Governance, Regulation & Policy, Intelligent Automation, TechEx Events

Autonomous AI systems depend on data governance

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Much of the current focus on AI safety has centred on models – how they are trained and monitored. But as systems become more autonomous, attention is changing toward the data those systems depend on. If the data feeding an AI system is fragmented, outdated, or lacks oversight, the system’s behaviour can become more unpredictable. […]

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Agentic AI, Agents, AI and Us, AI Business Strategy, AI in Action, AI Market Trends, Data Engineering & MLOps, Deployment, enterprise, Featured News, Features, Finance AI, governance, Governance, Regulation & Policy, How It Works, Human-AI Relationships, Infrastructure & Hardware, Inside AI, kpmg, Manufacturing & Engineering AI, Research, Retail & Logistics AI, strategy, study, trust, World of Work

KPMG: Inside the AI agent playbook driving enterprise margin gains

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Global AI investment is accelerating, yet KPMG data shows the gap between enterprise AI spend and measurable business value is widening fast. The headline figure from KPMG’s first quarterly Global AI Pulse survey is blunt: despite global organisations planning to spend a weighted average of $186 million on AI over the next 12 months, only […]

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AI and Us, AI Business Strategy, AI in Action, AI Market Trends, analytics, anybotics, Artificial Intelligence, Automation, computer-vision, Data Engineering & MLOps, data-governance, Digital Transformation, edge computing, erp, Featured News, Features, How It Works, Human-AI Relationships, iiot, Industry, Infrastructure & Hardware, Inside AI, Machine Learning, Manufacturing, Manufacturing & Engineering AI, middleware, Physical AI, private 5g, Retail & Logistics AI, sap, supply-chain, Utilities, World of Work

SAP and ANYbotics drive industrial adoption of physical AI

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Heavy industry relies on people to inspect hazardous, dirty facilities. It’s expensive, and putting humans in these zones carries obvious safety risks. Swiss robot maker ANYbotics and software company SAP are trying to change that. ANYbotics’ four-legged autonomous robots will be connected straight into SAP’s backend enterprise resource planning software. Instead of treating a robot […]

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AI Business Strategy, AI in Action, AI Market Trends, Cybersecurity AI, Data Engineering & MLOps, Features, finance, Finance AI, fintech, governance, Governance, Regulation & Policy, Inside AI, insights, Research, strategy, study

Ocorian: Family offices turn to AI for financial data insights

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To gain financial data insights, the majority of family offices now turn to AI, according to new research from Ocorian. The global study reveals 86 percent of these private wealth groups are utilising AI to improve their daily operations and data analysis. Representing a combined wealth of $119.37 billion, these organisations want machine learning to […]

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AI and Us, AI Business Strategy, AI in Action, Automation, Data Engineering & MLOps, Features, finance, Finance AI, gemini, governance, Governance, Regulation & Policy, How It Works, llama, multimodal, multimodal-ai, Open-Source & Democratised AI

Automating complex finance workflows with multimodal AI

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Finance leaders are automating their complex workflows by actively adopting powerful new multimodal AI frameworks. Extracting text from unstructured documents presents a frequent headache for developers. Historically, standard optical character recognition systems failed to accurately digitise complex layouts, frequently converting multi-column files, pictures, and layered datasets into an unreadable mess of plain text. The varied […]

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