This post recaps a session at the SingleStore NOW 2024 Conference, held at the Chase Center on October 3, 2024. To view the entire session, check out the video at the bottom of the blog.
Overview
Basketball plus real-time insights: what could be better? Led by two SingleStore engineers, this session showcased the power of real-time AI applications through a live demo of a custom-built NBA analytics app. The discussion emphasized the importance of real-time data handling for AI applications, particularly in scenarios where milliseconds matter.
This session is for you if you’re interested in the technical and strategic aspects of building real-time AI applications using SingleStore.
Speakers
- Rohit Bhamidipati is a Cloud Solutions Engineer at SingleStore, specializing in helping customers build scalable, real-time data solutions.
- Alex Pang is a Growth Engineer at SingleStore, focusing on creating innovative solutions that demonstrate the capabilities of SingleStore's platform in practical, high-impact ways.
Key takeaways
- Real-time really matters for AI. Keeping up with the growing demand from AI models — like OpenAI's real-time API — requires a database that can support real-time data. As latency and data costs decrease, having a lightning-fast and highly responsive database is crucial for AI applications that need to deliver insights in milliseconds, not seconds.
- For AI, multi-modal is better. Rohit and Alex discussed the challenges of traditional database architectures that require multiple systems for handling transactional, analytical and vector data, and reminded the audience that maintaining these separate systems increases complexity, latency and cost. SingleStore offers a streamlined solution by providing a unified platform that handles various data types and operations in real time.
- Simplicity and scalability are also key. If you’re building complex AI applications, you don’t want or need the overhead of maintaining multiple specialized databases. This becomes more true as data volumes grow.
- See it in action with an NBA analytics app. To bring these concepts to life, Rohit and Alex showed off an app called "NBA on the Fly AI." Using SingleStore as its data backbone, the app offers real-time insights based on video footage from the 2016 NBA Finals. Analyzing the game as it unfolded, the app uses embedded analytics and provides real-time commentary powered by the Groq LLM. It even provides win probabilities.
- Integrating AI and real-time data will wow your users. Rohit and Alex stressed the value of having a single database that supports real-time data ingestion and advanced analytics — and that’s just what SingleStore offers. By seamlessly integrating AI models into your applications, LLMs can access and analyze your enterprise data with minimal latency for a significantly enhanced user experience.
Put it in motion
Are you interested in building your own real-time AI applications? Explore more content from the conference and start your free SingleStore Helios® trial today. Discover how SingleStore’s unified database can simplify your architecture and deliver real-time insights for your AI projects.
