Customer service chatbots and co-pilots and smart call center analysis applications are prime use cases for AI and generative AI. These AI systems and agents can provide real-time recommendations, support customer service at scale, generate insights that can be used in downstream applications to reduce churn and increase revenue, and more. How can customer service organizations grow and optimize their use of data and AI?
BigQuery Data Engineering Agents are here to help data analysts and engineers build faster, and focus more on creative problem-solving. Lucia Subatin shows how these AI-powered agents can save your time from tedious coding, schema mapping, and manual metadata creation Speakers: Lucia Subatin Products Mentioned: AI Infrastructure, BigQuery.
Welcome back to our ongoing series on strategies for gaining an unfair advantage. So far, we’ve explored how leveraging the tech ecosystem, overcoming adversity, unlocking hidden value in data, fostering great partnerships, and balancing risk with reward can set your organization apart. Each topic has offered actionable insights and real-world examples to help you stay ahead.
Sometimes the biggest opportunities come disguised as unproven protocols released on a random Monday. Here’s why we bet on MCP before anyone asked us to. Two months before anyone knew what MCP was, we made a bet that it would fundamentally transform how people interact with their data infrastructure.
AI Needs All Your Data. Your ETL Vendor Is Charging You to Keep It Locked Away. In this post, we explore why legacy ETL pricing models are fundamentally misaligned with the demands of modern AI workloads.
In the last decade, AWS has redefined how businesses build data pipelines. Its ETL toolset isn’t just about moving datasets, it’s about orchestrating security, compliance, scale, and efficiency. Whether you're migrating legacy data systems or building modern ELT workflows, AWS offers a robust, versatile stack of services to meet virtually any requirement.
This tutorial demonstrates how to build a Fivetran Connector SDK custom connector using VS Code and GitHub Copilot. The demo showcases the end-to-end process of creating, testing, and deploying a connector that ingests tobacco problem reports from the openFDA API. What You'll Learn Resources.
Why replicate data across Kafka clusters? What options are out there for Kafka to Kafka replication? Adamos Loizou and Stefan Bocutiu explain the most common reasons for Kafka replication, and the principles behind our platform-neutral Kafka replicator -- Lenses K2K.
After 10 days since launching the Keboola MCP (Model Context Protocol) Server, we've gathered the most common questions from our data community. This article combines practical answers with best practices inspired by successful AI-assisted development patterns, helping you get the most out of your AI-powered data workflows.