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Early days for AI: Only 25% of enterprises have deployed, few reap rewards

Jan 15, 2025 - venturebeat.com
The article discusses the current state of AI deployment in enterprises, highlighting that only 25% have integrated AI into production, with limited measurable impact. Many companies are still in early stages, focusing on building document parsing tools and chatbots, while exploring analytics, content generation, and automation applications. The report from Vellum emphasizes the importance of identifying specific use cases to achieve success and ROI, as many enterprises are experimenting with AI without clear objectives. OpenAI remains a leader in AI models, but the future points towards multi-model systems and multimodal AI, with a growing adoption of open-source models and tools for diverse tasks.

AI is becoming democratized across enterprises, involving not just IT but also leadership, product teams, and design departments. Despite this, challenges persist, such as AI hallucinations, data security, and a lack of technical expertise. Tooling and platforms can help overcome these challenges, but many developers still rely on manual testing. The article stresses the need for consistent evaluations and automated testing to ensure reliable AI systems, advocating for a mix of systems and tools to effectively integrate AI into business processes.

Key takeaways:

  • Enterprises are still in early stages of AI deployment, with only 25% having deployed AI into production and many struggling to identify viable use cases.
  • OpenAI remains a leader in AI models, but enterprises are increasingly adopting multi-model systems and open-source models for specific tasks.
  • AI development is becoming more democratized across enterprises, involving not just engineering but also leadership, product teams, and design departments.
  • Ongoing evaluations and monitoring are critical for AI systems, yet many developers still rely on manual testing, highlighting a need for automated evaluation tools.
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