Building AI with MongoDB: Navigating the Path From Predictive to Generative AI
Blog post from MongoDB
The article discusses the transition from predictive to generative AI, highlighting two companies that have successfully navigated this path using MongoDB Atlas. MyGamePlan uses custom Python-based predictive AI models hosted in Amazon Sagemaker to analyze gameplay and improve player performance. Ferret.ai provides real-time, unbiased intelligence for building trust by identifying risks and embracing opportunities through cutting-edge predictive and generative AI. Both companies utilize MongoDB Atlas as their database, storing various types of data and leveraging its flexibility for any AI use case. The article also mentions the potential benefits of using gen AI to further improve user experience in these applications.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 3 | 2,087 | 216 | 81 | +23% |
| RAG | 2 | 1,125 | 154 | 56 | -17% |
| Real-time | 2 | 2,379 | 618 | 172 | -8% |
| LLM | 1 | 2,401 | 292 | 122 | -7% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.