State of Data + AI: Data intelligence and the race to customize LLMs
With siloed data and AI platforms, it’s difficult for teams to accelerate their GenAI projects — whether they are using natural language to ask questions of their data or are building intelligent apps with their data.
So, where do you go from here? Read this State of Data + AI report to learn how organizations like yours are prioritizing, and succeeding with, data and AI initiatives. Key findings include:
- NLP is the most used and fastest-growing ML application, making up 50% of specialized Python library usage.
- Enterprises are quickly adopting retrieval augmented generation (RAG) to tailor LLMs with their data.
- Regulated sectors like Financial Services and Healthcare are using open source LLMs.