A new SAP study finds companies investing heavily in AI with rising ROI expectations, yet governance lags: only four percent feel fully ready to deploy autonomous AI agents.
AI recruiting tools pre-select applications by keywords, structure, and formal criteria. Experts advise tailoring applications to these machine filters without sacrificing authenticity.
From pre-trained models and parameter-efficient fine-tuning to gradient checkpointing, pruning, and quantization, various strategies make training AI models considerably more cost-effective.
Fotor, a Chinese web-based image editing platform with over 800 million users, combines traditional tools with AI features like background removal and text-to-image generation.
OpenAI has unveiled ChatGPT Work, a GPT-5.6-powered enterprise platform whose autonomous agent handles multi-step tasks across Slack, Microsoft 365, and Google Drive.
OpenAI has unified ChatGPT, the new ChatGPT Work agent mode, and the Codex developer platform into a single desktop app powered by GPT-5.6, with over 1,400 plugins.
Tools like GPT4All, Ollama, and h2oGPT let users run large language models locally on Windows or Apple hardware, keeping sensitive data on-device with full control and GDPR benefits.
AI in customer service delivers faster response times and lower costs, but fragmented data and poor integration temper the hype, shifting focus toward supporting human agents.
Small Language Models with under 10 billion parameters can outperform large LLMs for specialized tasks, offering speed, lower costs, local execution, and better data protection.
Cisco has built an internal AI assistant for its 90,000 employees, unifying development, HR, and other tools to counter shadow AI while delivering measurable time and productivity gains.