Powering AI with Streaming Data: Accuracy, Security, Compliance
Learn how to proactively enforce data quality on your streaming data to maximize GenAI's potential while mitigating risks.
Speakers
AI is revolutionizing how organizations operate. Yet outdated, biased, or poor-quality data can derail AI applications, leading to errors, security risks, and compliance failures.
In this webinar, discover how streaming data can keep your AI models accurate, compliant, and free from hallucinations. You'll also learn how Conduktor enables you to proactively enforce data quality on your streaming data to maximize AI's potential while mitigating risks.
Key Topics
- Better AI with Streaming Data: Use real-time contextual data in AI prompts to improve model performance and scalability
- Ensuring Data Quality & Freshness: Ensure AI models are up-to-date and data ingested meets quality standards with Conduktor Trust
- Mitigating AI Risks: Address security, compliance, and accuracy risks in GenAI pipelines
Interactive Q&A: Get your questions answered by our experts during the live session.
Who Should Watch
- Data Streaming Leaders & Strategists
- Data Governance Professionals
- Data Platform Engineers & Architects
- AI/ML Engineers and Decision Makers
Whether you're building your first GenAI model or scaling an enterprise AI strategy, this session offers valuable insights on data streaming best practices.