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Over the last few months, tools like OpenClaw have shown what tech-savvy AI users can do by setting a virtual cadre of automated agents on a task. But that individual convenience can be a DDOS-level pain for online service providers faced with a torrent of Sybil attack-style requests from thousands of such agents at once. […]
How World ID wants to put a unique human identity on every AI agent Read More »
Last month Perplexity announced the confusingly named “Computer,” its cloud-based agent tool for completing tasks using a harness that makes use of multiple different AI models. This week, the company is moving that kind of functionality to the desktop with the confusingly named “Personal Computer,” now available in early access by invite only. Much like
Perplexity’s “Personal Computer” brings its AI agents to the, uh, Personal Computer Read More »
Managing the economics of multi-agent AI now dictates the financial viability of modern business automation workflows. Organisations progressing past standard chat interfaces into multi-agent applications face two primary constraints. The first issue is the thinking tax; complex autonomous agents need to reason at each stage, making the reliance on massive architectures for every subtask too
How multi-agent AI economics influence business automation Read More »
Chipmaker Nvidia is preparing to launch its own open source AI agent platform to compete with the likes of OpenClaw, according to a recent Wired report. The magazine cites “people familiar with the company’s plans” in reporting that Nvidia has been pitching the platform, which it is calling NemoClaw, to various corporate partners ahead of
Nvidia is reportedly planning its own open source OpenClaw competitor Read More »
In finance, achieving operational automation by integrating agentic AI requires a data-centric foundation to drive real value. Financial infrastructure provider SEI has engaged IBM to modernise its internal operations via AI and automation. The joint initiative focuses on process redesign and targeted system updates to deliver consistent client experiences, building a modern and data-enabled foundation
Agentic AI in finance speeds up operational automation Read More »
Scaling intelligent automation without disruption demands a focus on architectural elasticity, not just deploying more bots. At the Intelligent Automation Conference, industry leaders gathered to dissect why many automation initiatives stall after pilot phases. Speaking alongside representatives from NatWest Group, Air Liquide, and AXA XL, Promise Akwaowo, Process Automation Analyst at Royal Mail, grounded the
Scaling intelligent automation without breaking live workflows Read More »
AI agents prefer Bitcoin for digital wealth storage, forcing finance chiefs to adapt their architecture for machine autonomy. When AI systems gain economic autonomy, their internal logic dictates how corporate capital flows. Non-partisan research by the Bitcoin Policy Institute evaluated how these frontier models would transact if operating as independent economic actors. The study tested
AI agents prefer Bitcoin shaping new finance architecture Read More »
Improving trust in agentic AI for finance workflows remains a major priority for technology leaders today. Over the past two years, enterprises have rushed to put automated agents into real workflows, spanning customer support and back-office operations. These tools excel at retrieving information, yet they often struggle to provide consistent and explainable reasoning during multi-step
Upgrading agentic AI for finance workflows Read More »
Agentic finance AI improves business efficiency and ROI only when deployed with strict governance and clear return on investment targets. A recent FT Longitude survey of 200 finance leaders across the US, UK, France, and Germany showed 61 percent have deployed AI agents merely as experiments. Meanwhile, one in four executives admit they do not
Deploying agentic finance AI for immediate business ROI Read More »
AI in the APAC retail sector is transitioning from analytics and pilots into workflows and daily operations. Dense urban stores, high labour churn, and competitive quick-commerce ecosystems are driving the uptake. A Q4 2025 survey by GlobalData found that 45 percent of consumers in Asia and Australasia are very or quite likely to purchase a
Exploring AI in the APAC retail sector Read More »
