Systems | Development | Analytics | API | Testing

PII Sanitization with Kong

Using sensitive user data for analytics, development, or training AI models introduces significant security risks like data breaches and costly PII (Personally Identifiable Information) leakage. These incidents can lead to heavy fines and a critical loss of customer trust. Watch this demo to see how the Kong AI Gateway automatically finds and sanitizes PII in real-time before requests ever reach your upstream services or Large Language Models (LLMs).

How To Make Sense of Enterprise-Level Data With Google Cloud's Vertex AI and BigQuery

As an application developer integrating analytics into your application, your users expect a scalable, flexible solution that adapts to changing business needs. While organizations strive to capitalize on new AI tools, they’re also still wrestling with big data: massive, fast-moving datasets that traditional tools can’t handle easily.

Best Practices to Develop, Deploy, and Manage Gen AI Copilots

Generative AI copilots are moving from experimental tools to core enterprise solutions. But too often, organizations rush into development, only to discover adoption stalls because the copilot doesn’t solve a specific user problem, lacks trust safeguards, or can’t scale reliably. This guide lays out best practices across the entire lifecycle, from planning and building, to deployment, monitoring, and long-term maintenance.

Introducing AI Test Model Generation in Xray Advanced and Enterprise

QA teams have never been more central to product success or more pressed for time. As complexity increases, testers are expected to deliver broader coverage and deeper insight into system behavior while keeping pace with shorter release cycles. Model-based and data-driven testing offer a structured way to design tests that uncover gaps, ensure coverage, and reduce duplication.

AI Inside Snowflake: Practical Applications for Data Teams

Snowflake is rapidly evolving into an AI-powered data platform, enabling organizations to go beyond traditional analytics and bring intelligence directly into their data workflows. In this session, Vivek Sunny will share practical insights from his hands-on experience implementing AI-driven solutions on Snowflake—bridging data engineering with AI to unlock business value.

Your AI Partner: How to Get Actionable Insights and Accelerate Supply Chain Analysis

Don’t just get answers—get a partner in your analysis. This demo shows how our AI-powered platform helps you with supply chain performance analysis. In just a few clicks, you can ask for key metrics on specific products and get a clear, visual breakdown of the data.

Build an AI-powered insurance claims automation system with WSO2 Integrator: MI

Learn how to use WSO2 Integrator: MI's AI-assisted integration development experience to seamlessly connect AI chatbots, claims management platforms, and payment processors to create an end-to-end automated insurance claims processing workflow that enhances the customer experience and operational efficiency.