Visa prepares payment systems for AI agent-initiated transactions
Payments rely on a simple model: a person decides to buy something, and a bank or card network processes the transaction. That model is starting to change as Visa tests how AI agents can initiate payments. New work in the banking sector suggests that, in some cases, software agents may soon take on that role. […]
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NVIDIA wants to make enterprise AI agents safe enough to actually deploy
The NVIDIA Agent Toolkit is Jensen Huang’s answer to the question enterprises keep asking: how do we put AI agents to work without losing control of our data, our systems, and our liability? Announced at GTC 2026 in San Jose on March 16, the NVIDIA Agent Toolkit is an open source software stack designed to help […]
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For effective AI, insurance needs to get its data house in order
A report from Autorek, a provider of AI solutions to the insurance industry has produced a report that describes operational drag in companies’ internal processes that not only affect overall efficiency but cause an impediment to the effective implementation of AI in insurance concerns. Insurance Operations & Financial Transformation 2026 [email wall] draws from a […]
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Goldman Sachs sees AI investment shift to data centres
Artificial intelligence investment is entering a more selective phase as companies and investors look beyond early excitement and focus on the data centre infrastructure required to run AI systems. Recent analysis from Goldman Sachs suggests the market is moving toward what the firm describes as a “flight to quality.” In practice, investors are paying closer […]
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NTT DATA and NVIDIA bring enterprise AI factories to production scale
NTT DATA has announced an initiative to deliver NVIDIA-powered platforms designed to give organisations a repeatable, production-ready model for scaling AI. The offering integrates NVIDIA’s GPU-accelerated computing and high-performance networking with NVIDIA AI Enterprise software, including NeMo and NIM Microservices, into a full-stack agentic AI platform that can be deployed in cloud and edge environments. […]
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OpenAI Frontier puts enterprise AI agents at the centre of a fight the SaaS industry cannot afford to lose
When OpenAI launched Frontier in February, the announcement was framed as a platform for enterprise AI agents. What it actually signalled was a direct challenge to the revenue architecture that has underpinned the software industry for the better part of two decades. Frontier is designed to act as a semantic layer across an organisation’s existing systems, connecting […]
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E.SUN Bank and IBM build AI governance framework for banking
E.SUN Bank is working with IBM to build clearer AI governance rules for how artificial intelligence can be used inside a bank. The effort reflects a wider shift in finance. Many firms already use AI for fraud checks and credit scoring, and some also use it to handle customer service queries. The new challenge is […]
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How multi-agent AI economics influence business automation
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 […]
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Manulife moves AI agents into core financial workflows
Large financial firms have spent years testing artificial intelligence in small projects, often limited to data analysis or customer support tools. The next phase appears to involve something more operational: systems that can take action in business workflows. Canadian insurer Manulife is moving in that direction as it works to deploy agent-based AI systems inside […]
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ABB: Physical AI simulation boosts ROI for factory automation
A new ABB and NVIDIA partnership shows physical AI simulation is driving real ROI in factory automation and solving production hurdles. Manufacturers have often found it difficult to make intelligent robotics work reliably outside testing environments. The core issue is the gap between digital training models and actual factory floors, where lighting, material physics, and […]
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