Day 1 | HALL 2 - Practical Insights and Best Practices

The Unified Data platform is designed to address key limitations in data management for machine learning (ML) model development, training, and testing. Its primary focus is to improve turnaround time (TAT), enhance experimentation velocity, and provide a centralized solution for data needs.

Discover the engineering innovations behind KnowBe4’s agentic platform, which utilizes Data and Generative AI to empower cybersecurity defense. Learn how KnowBe4 developed AIDA (Artificial Intelligence Defense Agents) to significantly reduce administrative overhead for customers by automating the configuration of KnowBe4 products. AIDA intelligently understands specific customer requirements based on user behavior, leading to automated risk reduction. This session will delve into the cutting-edge technologies that power this feature, including the latest advancements in Artificial Intelligence, Datamesh architecture, and big data engineering tools. We will explore how these elements are integrated to deliver current GenAI capabilities and lay the foundation for future intelligent features aimed at proactively mitigating human-related cyber risks.

Building a future-forward health insurance data platform focuses on leveraging emerging technologies like AI, machine learning, and blockchain to revolutionize data management in the insurance sector. By integrating diverse data sources such as medical records, wearable devices, and claims data, the platform enables personalized policies, faster claims processing, and enhanced risk management. This approach not only increases operational efficiency but also improves customer satisfaction by providing tailored coverage and real-time insights

This session explores how AI agents are transforming data engineering by automating complex workflows such as data ingestion, transformation, and pipeline orchestration. With real-time analytics and intelligent decision-making becoming critical, AI-driven automation is enabling greater efficiency, scalability, and accuracy in data processes. From automated anomaly detection to schema evolution and performance optimization, discover practical use cases that showcase the power of AI in simplifying and future-proofing data engineering strategies. Ideal for data engineers, architects, and AI enthusiasts, this talk offers insights into leveraging AI agents to reduce operational overhead and stay ahead in the era of intelligent automation.