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How separating logic and search boosts AI agent scalability

agentic ai, agents, ai, AI (Artificial Intelligence), Artificial Intelligence, Deep Dives, enterprise, Features, How It Works, Inside AI, scaling

Separating logic from inference improves AI agent scalability by decoupling core workflows from execution strategies. The transition from generative AI prototypes to production-grade agents introduces a specific engineering hurdle: reliability. LLMs are stochastic by nature. A prompt that works once may fail on the second attempt. To mitigate this, development teams often wrap core business […]

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Combing the Rackspace blogfiles for operational AI pointers

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In a recent blog output, Rackspace refers to the bottlenecks familiar to many readers: messy data, unclear ownership, governance gaps, and the cost of running models once they become part of production. The company frames them through the lens of service delivery, security operations, and cloud modernisation, which tells you where it is putting its

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China’s hyperscalers bet billions on agentic AI as commerce becomes the new battleground

ai, AI (Artificial Intelligence), AI and Us, AI in Action, AI Market Trends, Artificial Intelligence, Deep Dives, Features, Human-AI Relationships, Inside AI, Retail & Logistics AI

The artificial intelligence industry’s pivot toward agentic AI—systems capable of autonomously executing multi-step tasks—has dominated technology discussions in recent months. But while Western firms focus on foundational models and cross-platform interoperability, China’s technology giants are racing to dominate through commerce integration, a strategic divergence that could reshape how enterprises deploy autonomous systems globally. Alibaba, Tencent

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Meeting the new ETSI standard for AI security

adoption, ai, AI (Artificial Intelligence), AI Business Strategy, Artificial Intelligence, Deep Dives, developers, enterprise, ethics, etsi, Features, frameworks, governance, Governance, Regulation & Policy, Inside AI, Security, standards

The ETSI EN 304 223 standard introduces baseline security requirements for AI that enterprises must integrate into governance frameworks. As organisations embed machine learning into their core operations, this European Standard (EN) establishes concrete provisions for securing AI models and systems. It stands as the first globally applicable European Standard for AI cybersecurity, having secured

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AI medical diagnostics race intensifies as OpenAI, Google, and Anthropic launch competing healthcare tools

ai, AI (Artificial Intelligence), AI and Us, AI in Action, Artificial Intelligence, Deep Dives, Features, Healthcare & Wellness AI, Society

OpenAI, Google, and Anthropic announced specialised medical AI capabilities within days of each other this month, a clustering that suggests competitive pressure rather than coincidental timing. Yet none of the releases are cleared as medical devices, approved for clinical use, or available for direct patient diagnosis—despite marketing language emphasising healthcare transformation. OpenAI introduced ChatGPT Health on January

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

ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, Artificial Intelligence, Deep Dives, Features, Inside AI

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

agentic ai, ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, AI Market Trends, Artificial Intelligence, chatbot, Deep Dives, Features, Retail, Retail & Logistics AI

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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The Meta-Manus review: What enterprise AI buyers need to know about cross-border compliance risk

ai, AI (Artificial Intelligence), AI Business Strategy, Artificial Intelligence, china, Deep Dives, governance, Governance, Regulation & Policy, regulation, Singapore, World of Work

Meta’s US$2 billion acquisition of AI agent startup Manus has become every enterprise CTO’s cross-border compliance risk lesson. China’s Ministry of Commerce announced on January 9 that it would assess whether the deal violated export controls, technology transfer rules, and overseas investment regulations, despite Manus relocating from Beijing to Singapore in 2025. The investigation exposes

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

ai, AI (Artificial Intelligence), AI Business Strategy, AI in Action, AI Market Trends, Artificial Intelligence, Deep Dives, Featured, Features, infrastructure, Infrastructure & Hardware, Inside AI, manufacturing, Manufacturing & Engineering AI, supply chain

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, agents, ai, AI (Artificial Intelligence), AI Hardware & Chips, Artificial Intelligence, Deep Dives, Features, How It Works, infrastructure, Infrastructure & Hardware, Inside AI, Memory, nvidia

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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