"Delivering AI Solutions Built on Unified Data" - Powered by InterSystems
Scott Gnau, Vice President at InterSystems, discussed how to build effective AI solutions using unified data.
Key highlights
Introduction to AI and Data:
- Importance of AI as a transformative technology.
- Need for lots of varied and trusted data.
- Clean, proprietary data reduces hallucinations and builds reliable models.
Processing and Data Management:
- Move processing to the data, not vice versa, to reduce latency, cost, and maintain data freshness.
- Ensure secure and private data handling to protect intellectual property.
Building Trust and Avoiding Disillusionment:
- Foster user trust through easy data provenance and traceability.
- Use AI tools to explain model decisions.
- Set clear objectives for AI projects and measure their success.
- Maintain a balance between embracing new technologies and leveraging existing systems.
Conclusion
The critical ingredients for successful AI deployment include unified and trusted data. By leveraging data fabric architectures, you can effectively manage and utilise diverse data sources, ensuring your models are accurate and your intellectual property is protected.
Speakers:
- Scott Gnau, Vice President, InterSystems