Articles tagged: business AI
Found articles: 16
Manus 2.0 adds Cascade architecture, event-driven automations, a cloud computer, and Cue agents. What U.S. businesses should know.
ReadGemini 4 Argon is Google’s new model, with long-context capabilities, launch pricing details, and notes on who can access it first.
ReadClaude Sonnet 5.5 launched on September 28, 2026, with a 1 million token context window. See pricing, business use, and migration notes.
ReadLearn what Meta announced on September 28, 2026, what still needs confirmation, and how businesses can prepare a verifiable vendor request.
ReadWeekly AI news for September 20–27, 2026, including OpenAI’s pause after an agent incident, Claude Opus 5.5, Grok 4.7, and more.
ReadProject Swap showed how AI agents exchanged books on behalf of people. Learn the results, limits, and a safer pilot rollout sequence for businesses.
ReadA clear breakdown of Claude Opus 5.5: key features, API pricing, availability, migration from Opus 5, and business use cases.
ReadExplore Claude AI’s official website, app options, Pro and Max plans, Claude Code, and where US businesses can start.
ReadLearn how to deploy local AI on your company servers to protect data and support business use cases with a practical implementation guide.
ReadA clear look at how AI approaches and tools have evolved, with context for business teams evaluating automation and adoption.
ReadA breakdown of GPT-6 Astra: capabilities, testing, API pricing, availability, risks, and a practical plan for business evaluation.
ReadCompare LLM options for Russian businesses in 2026, including GigaChat, YandexGPT, Qwen, and DeepSeek, plus API and local deployment.
ReadCompare RAG, fine-tuning, and prompt engineering for business use cases, and see which approach fits knowledge, behavior, or output format gaps.
ReadLearn how to choose an LLM integrator, with core skills, interview questions, test tasks, and red flags for business AI implementation.
ReadA practical guide to building AI for a specific business use case, with project stages, data requirements, risks, and real implementation examples.
ReadLearn when customer data can be used with AI, how anonymization helps, and what safer alternatives businesses should consider.
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