A new analysis outlines five key areas that will shape enterprise artificial intelligence adoption in 2025. According to Matt Marshall, writing for VentureBeat, companies must focus on AI agents, evaluations, cost management, personalization, and inference optimization to remain competitive. The report highlights how AI agents powered by large language models (LLMs) are becoming essential business tools, capable of handling complex tasks and making nuanced decisions. Sam Witteveen, cofounder of Red Dragon, notes that AI agents have shown significant improvement throughout 2024 due to advances in underlying models.
The analysis emphasizes that evaluations (“evals”) will be crucial for selecting appropriate LLMs from hundreds of available options. Cost efficiency is becoming more achievable through hardware innovations and increased competition among providers. The report also discusses the importance of memory personalization for tailored user experiences, while noting privacy concerns. Advanced inference techniques and chain-of-thought reasoning are expected to improve AI decision-making capabilities, though potentially at higher operational costs. The article suggests that enterprises should develop clear strategies for implementing these technologies while maintaining cost-effectiveness and user privacy.