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Signal creator Moxie Marlinspike wants to do for AI what he did for messaging

Moxie Marlinspike—the pseudonym of an engineer who set a new standard for private messaging with the creation of the Signal Messenger—is now aiming to revolutionize AI chatbots in a similar way. His latest brainchild is Confer, an open source AI assistant that provides strong assurances that user data is unreadable to the platform operator, hackers, […]

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Why Apple chose Google over OpenAI: What enterprise AI buyers can learn from the Gemini deal

Apple’s multi-year agreement to integrate Google’s Gemini models into its revamped Siri marks more than just another Big Tech partnership. The deal, announced Monday, offers a rare window into how one of the world’s most selective technology companies evaluates foundation models—and the criteria should matter to any enterprise weighing similar decisions. The stakes were considerable. Apple had

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How Shopify is bringing agentic AI to enterprise commerce

Shopify is enhancing core enterprise commerce workflows with agentic AI, automating operations while expanding sales channels. The adoption of generative AI in commerce has largely centred on customer support chatbots and basic content generation. Shopify’s Winter ‘26 Edition, titled Renaissance, pushes this technology toward agentic commerce where AI systems actively manage workflows, configure infrastructure, and

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Retailers like Kroger and Lowe’s test AI agents without handing control to Google

Retailers are starting to confront a problem that sits behind much of the hype around AI shopping: as customers turn to chatbots and automated assistants to decide what to buy, retailers risk losing control over how their products are shown, sold, and bundled. That concern is pushing some large chains to build or support their

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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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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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