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Among the big players in technology, Cisco is one of the sector’s leaders that’s advancing operational deployments of AI internally to its own operations, and the tools it sells to its customers around the world. As a large company, its activities encompass many areas of the typical IT stack, including infrastructure, services, security, and the […]
How Cisco builds smart systems for the AI era Read More »
For many organisations, the AI debate has moved on from whether to adopt the technology to a harder question: why do the results feel uneven? New tools are in place, pilots are running, and budgets are rising, yet clear AI returns remain elusive. According to Cloudflare’s 2026 App Innovation Report, the difference often has less
Modernising apps triples the odds of AI returns, Cloudflare says Read More »
Inside large banks, artificial intelligence has moved into a category once reserved for payment systems, data centres, and core risk controls. At JPMorgan Chase, AI is framed as infrastructure the bank believes it cannot afford to neglect. That position came through clearly in recent comments from CEO Jamie Dimon, who defended the bank’s rising technology
JPMorgan Chase treats AI spending as core infrastructure Read More »
A new technology from digital banking platform Plumery AI aims to address a dilemma for financial institutions: how to move beyond proofs of concept and embed artificial intelligence into everyday banking operations without compromising governance, security, or regulatory compliance. Plumery’s “AI Fabric” has been positioned by the company as a standardised framework for connecting generative
Banks operationalise as Plumery AI launches standardised integration Read More »
Manufacturing factories are producing more data than they can easily process, and companies like Bosch are turning to AI to close that gap. Cameras watch production lines, sensors track machines, and software records each step of the process. However, much of that information still does not lead to faster decisions or fewer breakdowns. For large
Bosch’s €2.9 billion AI investment and shifting manufacturing priorities Read More »
Agentic AI represents a distinct evolution from stateless chatbots toward complex workflows, and scaling it requires new memory architecture. As foundation models scale toward trillions of parameters and context windows reach millions of tokens, the computational cost of remembering history is rising faster than the ability to process it. Organisations deploying these systems now face
Agentic AI scaling requires new memory architecture Read More »
Producing digital advertising at global scale has become less about one standout campaign and more about volume, speed, and consistency. For consumer brands operating across dozens of markets, the challenge is not creativity alone, but how to keep content flowing without repeating expensive production cycles. That pressure is pushing some large companies to test where
L’Oréal brings AI into everyday digital advertising production Read More »
AI is moving deeper into the physical world, and EY is laying out a more structured way for companies to work with robots, drones, and other smart devices. The organisation is introducing a physical AI platform built with NVIDIA tools, opening a new EY.ai Lab in Georgia, and adding new leadership to guide its work
EY and NVIDIA to help companies test and deploy physical AI Read More »
Chip stacking strategy is emerging as China’s innovative response to US semiconductor restrictions, but can this approach truly close the performance gap with Nvidia’s advanced GPUs? As Washington tightens export controls on cutting-edge chipmaking technology, Chinese researchers are proposing a bold workaround: stack older, domestically-producible chips together to match the performance of chips they can
Can China’s chip stacking strategy really challenge Nvidia’s AI dominance? Read More »
Thomson Reuters and Imperial College London have established a frontier AI research lab to overcome historic deployment challenges. Speed and scale have defined the current AI boom. But for enterprises, the primary obstacles to deployment are different: trust, accuracy, and lineage. Addressing these barriers, Thomson Reuters and Imperial College London have announced a five-year partnership
Frontier AI research lab tackles enterprise deployment challenges Read More »
