Keller Postman's Journey To Data Driven Growth

As businesses grow, so does the complexity of their data. Teams often juggle multiple CRMs, finance systems, marketing platforms, and custom apps, only to end up with fragmented insights, rising costs, and frustrated stakeholders. In this webinar, Sorin Petrea, Director of Data Engineering at Keller Postman LLC, shares how his team unified data across dozens of sources, empowered 400+ users with self-service BI, and turned data into a lever for better decision-making.

JDBC Drivers and Types: Enabling Reliable Java Database Connectivity

JDBC (Java Database Connectivity) drivers are the bridges that let Java-based applications interact directly with relational and cloud databases. Whether connecting an enterprise ERP built in Java to Oracle Database, a Spring Boot microservice to PostgreSQL, or a data ingestion pipeline to Snowflake, JDBC drivers ensure a consistent and secure data exchange layer.

Types of Dashboards: Operational, Strategic, Analytical & More

You need dashboards to turn big data into quick, smart decisions. But with operational, strategic, and analytical dashboard options, choosing the right one is crucial for BI success. This post cuts through the confusion to reveal which types of dashboards are the absolute best fit for your organization.

Iceberg 101: Working with Iceberg Tables

Apache Iceberg has rapidly become the leading open table format for modern data lakehouses, enabling organizations to combine the cost-effectiveness of data lakes with the reliability and performance of data warehouses. However, successfully implementing and managing Iceberg tables at enterprise scale requires understanding both the technical fundamentals and the operational complexities involved. This guide walks through the essentials of working with Iceberg tables, from creation to optimization.

Demo: Streaming Agents for price matching, with RAG, observability, and Real-Time Context Engine

Streaming Agents enable you to build, deploy, and orchestrate event-driven agents on Apache Flink and Apache Kafka. Embedded in the stream, they can tap into the latest enriched data and be the eyes and ears of a business, continuously monitoring and acting on live operational events. In this demo, Brenner Heintz, Staff Technical Marketing Manager at Confluent, shows how to build price matching agents, do vector search for retrieval augmented generation (RAG), and leverage Confluent’s Real-Time Context Engine to process and serve fresh context the moment it’s needed for AI decision-making.

Keynote: Building Intelligent Systems on Real-time Data

Join Jay Kreps, Confluent leadership, our customers, and industry thought leaders to learn how you can build intelligent systems with real-time data. We’ll show you why streaming is becoming ubiquitous across the business—and how that unlocks a shift-left approach: process and govern at the source, then reuse everywhere. Expect live demos and candid customer stories that make it concrete. Whether you’re a data leader, architect, or builder, you’ll leave with practical playbooks for bringing real-time AI to production. The future is here-let's ignite it together!

Ep 46 | Keeping Humanity in the Age of AI with Jess Von Bank

What does it mean to design AI with humanity at its core? Jess Von Bank—futurist, HR transformation leader, and president of Diverse Daisies—joins The AI Forecast to discuss. With host Paul Muller, the two explore how AI is reshaping the workforce and our very sense of what it means to be human. From AI-driven recruiting and workforce redesign to the mental health crisis and the erosion of human connection, Jess challenges leaders to slow down, think deeply, and build technology that serves people—not replaces them.