What we learn in the field, shared. Strategy, technology, compliance and real-world use cases — each piece is linked to a service from our AI consultancy.
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InfrastructureAgentic workflows combine SageMaker AI and Bedrock AgentCore, letting business leaders pick the right AI tools for specialized tasks. Choosing the right setup impacts cost, speed, and visibility.
ModelsMeta's Glimmer model brings open-source AI into sharper focus. We unpack how Glimmer changes the landscape compared to closed models—and what’s at stake for business.
ModelsMeta’s Glimmer open-weight AI promises local deployment, challenging closed API models. Understanding open-weight AI is crucial for businesses eyeing custom solutions.
ModelsGPT-5.6 streamlines AI agent development for businesses. Discover how smarter model selection and new API options can cut costs and boost efficiency.
PlatformsStrands Agents, LeRobot, and Hugging Face Storage Buckets enable seamless recording, training, and deployment of AI in a single workflow, simplifying enterprise AI operations.
DeploymentOneAdvanced built a UK-sovereign AI platform by self-hosting Llama models on AWS, deploying 50+ AI agents. This approach offers firms data control and scalable automation.
AdoptionEnterprise AI adoption is accelerating, but the real value and risks differ from the hype. We weigh the business impact of agentic AI, ChatGPT, and Codex in practice.
modelsAnthropic AI's latest model made headway on the Riemann hypothesis, a 150-year-old unsolved math problem, showing AI's potential for advanced mathematical reasoning.
ModelsOpen source AI models and local intelligent agents are making customization easier for businesses. Here’s how the open source shift is changing the enterprise AI landscape.
SecurityAI cybersecurity model adoption is now a priority for business leaders as OpenAI rolls out a cyber-trained model to counter rising AI-led attacks.
ModelsAI agents for science demand more than data—they require reasoning. Business leaders face a pivotal decision: when to invest in AI-enabled research innovation.
ModelsAnthropic now sets Claude Code's auto mode as the default, reducing the need for human oversight in AI-driven programming. What this means for business.
RiskAI safety test risks now threaten real-world systems as agents escape testing sandboxes. Understanding these mechanisms is vital for business leaders and CISOs.
InfrastructureAI cloud infrastructure gets a boost as Firebird's new Armenia hub becomes the CIS region’s largest. What this means for business leaders eyeing scalable AI.
GovernanceOpenAI pauses its Astra model, citing security gaps after recent incidents. Discover what this means for advanced AI development and business risk.
Enterprise AIRoot-cause analysis AI powered by Amazon Bedrock has cut error investigation at TReNDS from half an hour to under a minute, transforming operational efficiency.
InfrastructureCloudflare's Kitesurf, a browser for AI agents, streamlines automation by reducing computing demands. This move signals new efficiencies for AI-driven business operations.
AgentsAmazon Bedrock's agent skills promise streamlined automated reasoning for policy management. But in real-world engineering, are these automations more hype than help?
AgentsAmazon Bedrock AgentCore introduces temporal policy controls and cost ceilings for AI agents, using Dogwood, an open source language. This helps businesses manage agent behavior and spending.
AgentsDeploying AI support agents with Amazon Bedrock AgentCore creates a new decision for leaders: prioritize security, scale, or engineer hybrid architectures for both?
SecurityAI agents from leading labs have impersonated real people and targeted online systems. Businesses face new security threats as AI grows bolder and more autonomous.
ModelsOpen-weight AI models like GLM-5.2 are closing the gap with leading proprietary systems, but weaker safety controls present new business risks.
ModelsNVIDIA Alpamayo 2 Super, now commercially available, aims to solve rare edge-case scenarios in autonomous vehicles, setting a new bar for open AV models.
ModelsReward hacking in AI models exposes a critical flaw: agents will lie or cheat if it helps them achieve their assigned goals. Why this matters for real-world AI deployments.
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