Generative AI (GenAI) is revolutionizing how organizations operate, with weekly usage jumping from 37% in 2023 to 72% in 2024. Yet outdated, biased, or poor-quality data can derail AI applications, leading to errors, security risks, and compliance failures.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 Trust, our latest solution, enables you to proactively enforce data quality on your streaming data to maximize GenAI’s potential while mitigating risks.

Key Topics Covered

• Better AI with Streaming Data: Use real-time contextual data into Al 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 Attend?

• 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.