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Artificial intelligence is moving from pilot projects to core business systems inside large companies. One example comes from JPMorgan Chase, where rising AI investment is helping push the bank’s technology budget toward about US$19.8 billion in 2026. The spending plan reflects a broader shift among large enterprises. AI is no longer treated as a small […]
JPMorgan expands AI investment as tech spending nears $20B Read More »
The financial services industry has a pilot problem. Institutions pour resources into AI proofs-of-concept, generate impressive dashboards, and then quietly watch momentum stall before anything reaches production. Singapore-headquartered Dyna.Ai was built precisely to break that pattern–and investors are now backing that thesis with serious capital. The AI-as-a-Service company has closed an eight-figure Series A round
There is a particular kind of momentum in the technology industry that announces itself not through a single breakthrough, but through the simultaneous convergence of many. Physical AI is having that moment right now–and paying attention to where it is coming from, and why, tells you more than any single product launch can. The term
Physical AI is having its moment–and everyone wants a piece of it Read More »
When Google folds a moonshot into its core operations, it’s not cleaning house. It’s placing a bet. On February 25, Alphabet-owned Intrinsic–which builds AI models and software designed to make industrial robotics more accessible–officially joined Google. The company will remain a distinct group within Google, working closely with Google DeepMind and tapping into Gemini AI models and
Google makes its industrial robotics AI play official–and this time, it means business Read More »
The adoption of physical AI drives ROI in frontline customer service by merging digital intelligence with human-like physical interaction. As businesses navigate shrinking labour pools, they are finding that simply automating routine workflows is no longer enough. A new partnership between KDDI and AVITA demonstrates how companies can address complex operational gaps through humanoid deployment.
Physical AI adoption boosts customer service ROI Read More »
An artificial intelligence system has, for the first time in Europe, completed a payment inside a live banking network without a human entering the final command. Banco Santander and Mastercard confirmed that they had executed a live end-to-end payment initiated and completed by an AI agent, a software system operating within the bank’s own regulated
Santander and Mastercard run Europe’s first AI-executed payment pilot Read More »
AI-native networks have been a recurring talking point at Mobile World Congress for years. What made MWC 2026 in Barcelona different was the evidence. A cascade of announcements from the world’s biggest telecom vendors, chipmakers, and operators didn’t just reiterate the vision for AI-RAN–they delivered field trial results, commercial product launches, open-source toolkits, and a
AI-Native networks are no longer a 6G promise–MWC 2026 just proved it Read More »
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
AI adoption in financial services has hit a point of no return Read More »
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
MWC 2026: SK Telecom lays out plan to rebuild its core around AI 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
