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AI adoption in financial services has hit a point of no return

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AI adoption in financial services has effectively become universal–and the institutions still treating it as an experiment are now the outliers. According to Finastra’s Financial Services State of the Nation 2026 report, which surveyed 1,509 senior executives across 11 markets, only 2% of financial institutions globally report no use of AI whatsoever.  The debate is […]

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MWC 2026: SK Telecom lays out plan to rebuild its core around AI

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At MWC 2026 in Barcelona, SK Telecom outlined how it is rebuilding itself around AI, from its network core to its customer service desks. The shift goes beyond adding new AI tools. It involves rewriting internal systems, expanding data centre capacity to the gigawatt scale, and upgrading its own large language model to more than

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Upgrading agentic AI for finance workflows

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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

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Goldman Sachs and Deutsche Bank test agentic AI for trade surveillance

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Banks are testing a new type of artificial intelligence, like agentic AI, that does more than scan for keywords or follow preset rules. Instead of relying only on static alerts, some trading desks are beginning to use systems designed to reason through patterns in real time and flag conduct that may need human review. Bloomberg

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Nokia and AWS pilot AI automation for real-time 5G network slicing

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Telecom networks may soon begin adjusting themselves in real time, as operators test systems that allow AI agents to manage traffic and service quality. AI may soon be making operational decisions. This week, Nokia and AWS presented a new network slicing system that uses AI agents to monitor network conditions and adjust resources automatically. The

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Deploying agentic finance AI for immediate business ROI

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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

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Hitachi bets on industrial expertise to win the physical AI race

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Physical AI–the branch of artificial intelligence that controls robots and industrial machinery in the real world–has a hierarchy problem. At the top, OpenAI and Google are scaling multimodal foundation models. In the middle, Nvidia is building the platforms and tools for physical AI development.  And then there is a third camp: industrial manufacturers like Hitachi

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Exploring AI in the APAC retail sector

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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

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How AI upgrades enterprise treasury management

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The adoption of AI for enterprise treasury management enables businesses to abandon manual spreadsheets for automated data pipelines. Corporate finance departments face pressure from market volatility, regulatory demands, and digital finance requirements. Ashish Kumar, head of Infosys Oracle Sales for North America, and CM Grover, CEO of IBS FinTech, recently discussed the realities of corporate

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How financial institutions are embedding AI decision-making

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For leaders in the financial sector, the experimental phase of generative AI has concluded and the focus for 2026 is operational integration. While early adoption centred on content generation and efficiency in isolated workflows, the current requirement is to industrialise these capabilities. The objective is to create systems where AI agents do not merely assist

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