Stay updated with the latest news and announcements from i10X.
The U.S. government intervenes on Anthropic’s latest model citing security concerns. Explore impacts on enterprises, infra providers, and strategies for multi-model resilience.
Amazon's agentic ads embed sponsored placements into AI shopping recommendations. Learn how this changes ad tech, metrics like cost-per-resolution, and what it means for brands and LLM providers.
OpenAI is piloting labeled sponsored content in ChatGPT to monetize high-intent queries. Explore the implications for marketers, publishers, and AI trust. Discover how this changes the future of conversational search.
Autonomous AI agents move beyond chat tools to action. Discover why governance, evaluation, and controls are the real barriers to production deployment for enterprises. Learn more.
Mistral AI is building enterprise-grade orchestration with its AI Studio registry for agents, tools, workflows, and judges. Discover how it delivers compliance and auditability for regulated AI deployments. Explore the guide.
Enterprises face rising LLM inference costs and are turning to AI FinOps, semantic caching, and model routing. Discover strategies to optimize TCO and scale generative AI profitably.
Restaurants adopt localized LLMs to cut admin time and manage operations amid labor shortages. Learn the benefits, integrations, and critical compliance risks around allergen safety. Explore the guide.
Google’s Gemini AI Overviews now dominate search results, pushing down traditional links. Learn why publishers and IT teams rely on udm=14 workarounds and what this means for traffic, compliance, and compute costs. Explore the analysis.
Explore why Agentic Zero Trust is essential for AI agents executing real tasks. Learn about biometric security, human oversight, and enterprise controls to mitigate risks. Discover how to implement it effectively.
Explore how the G7 Summit is shaping frontier AI through compute governance, bringing labs and states together on safety and policy. Learn more about the implications for AI regulation.
GLM-5.2 tackles compounding errors in extended AI workflows with built-in hierarchical reasoning. Discover its impact on autonomous agents and infrastructure needs. Explore the guide.
Base models hallucinate 1 in 5 domain entities. Learn how RAG, verifier models, and factuality layers are driving AI infrastructure changes and raising compute costs. Explore the guide.