Description
The State of Data + AI Report is a comprehensive analysis that highlights the current trends and insights in the fields of data and artificial intelligence. It is designed to keep organizations informed about the evolving landscape of AI technologies and their applications in various industries. By leveraging anonymized usage data from over 10,000 customers utilizing the Databricks Data + AI Platform, including more than 300 Fortune 500 companies, the report offers a unique perspective on how businesses are prioritizing their data and AI initiatives.
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One of the key findings of the report is the significant increase in the number of AI models being put into production. This year, there has been an astonishing 1,018% increase in registered models compared to the previous year, indicating a shift from experimentation to practical application. The report emphasizes that production is where the true value of AI is realized, and it predicts that this growing success in machine learning (ML) will pave the way for more robust GenAI applications.
Another notable trend is the customization of large language models (LLMs) using private data. The report reveals a 377% growth in the use of vector databases, which are essential for businesses looking to enhance the performance of their LLMs through retrieval augmented generation (RAG). This customization allows companies to tailor AI outputs to their specific operational needs, demonstrating a clear demand for personalized AI solutions.
The report also discusses the preference for smaller open-source LLMs among companies, with 77% opting for models with 13 billion parameters or fewer. This trend highlights the importance of balancing cost, latency, and performance when selecting AI models for enterprise applications. Overall, the State of Data + AI Report serves as a vital resource for organizations aiming to develop effective data strategies and leverage AI technologies to drive innovation and efficiency in their operations.
- CategoryOther AI Tools
Highlights
Expert analysis
Industry reports
Anonymized usage data
Focus on production AI models
Insights on LLM customization
Vector database growth statistics
Trends in open-source LLM usage
Data-driven recommendations
Use It For
- AI model deployment
- Data strategy development
- LLM customization
- Industry trend analysis
- Performance optimization
