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Datadog: How AI code reviews slash incident risk

Integrating AI into code review workflows allows engineering leaders to detect systemic risks that often evade human detection at scale. For engineering leaders managing distributed systems, the trade-off between deployment speed and operational stability often defines the success of their platform. Datadog, a company responsible for the observability of complex infrastructures worldwide, operates under intense […]

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Bosch’s €2.9 billion AI investment and shifting manufacturing priorities

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

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Agentic AI scaling requires new memory architecture

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

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Headshot of Ian Jeffery, CEO of The Law Society.

The Law Society: Current laws are fit for the AI era

As ministers push to loosen rules to speed up AI adoption, The Law Society argues that lawyers just need to know how current laws apply. The Department for Science, Innovation & Technology (DSIT) recently launched a call for evidence on a proposed ‘AI Growth Lab’. This cross-economy sandbox is designed to accelerate the deployment of

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2025’s AI chip wars: What enterprise leaders learned about supply chain reality

AI chip shortage became the defining constraint for enterprise AI deployments in 2025, forcing CTOs to confront an uncomfortable reality: semiconductor geopolitics and supply chain physics matter more than software roadmaps or vendor commitments. What began as US export controls restricting advanced AI chips to China evolved into a broader infrastructure crisis affecting enterprises globally—not

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L’Oréal brings AI into everyday digital advertising production

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

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From prophet to product: How AI came back down to earth in 2025

Following two years of immense hype in 2023 and 2024, this year felt more like a settling-in period for the LLM-based token prediction industry. After more than two years of public fretting over AI models as future threats to human civilization or the seedlings of future gods, it’s starting to look like hype is giving way to pragmatism:

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Why Disney is embedding generative AI into its operating model

For a company built on intellectual property, scale creates a familiar tension. Disney needs to produce and distribute content across many formats and audiences, while keeping tight control over rights, safety, and brand consistency. Generative AI promises speed and flexibility, but unmanaged use risks creating legal, creative, and operational drag. Disney’s agreement with OpenAI shows

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Tesco signs three-year AI deal centred on customer experience

For large retailers, the challenge with AI is no longer whether it can be useful, but how it fits into everyday work. A new three-year AI partnership by Tesco points to how one of the UK’s biggest supermarket groups is trying to answer that question. The agreement with French startup Mistral AI is less about

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Wall Street’s AI gains are here — banks plan for fewer people

By December 2025, AI adoption on Wall Street had moved past experiments inside large US banks and into everyday operations. Speaking at a Goldman Sachs financial-services conference in New York on 9 December, bank executives described AI—particularly generative AI—as an operational upgrade already lifting productivity across engineering, operations, and customer service. The same discussion also

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