Systems | Development | Analytics | API | Testing

Stop Checking Clients One-by-One: Multi-Account Analysis with AI

Imagine managing multiple clients and instantly answering "Who has the lowest cost per conversion?" without opening a single spreadsheet. We're going to show you how to use Databox MCP to query multiple client accounts simultaneously and run an instant performance benchmark to compare ad spend and conversion rates side-by-side. About this series: This video is part of our "Chat with Your Data" series, where we explore the Databox MCP.

How to Cut BI Ticket Backlogs with AI-ETL for Self-Serve Analysts

Your BI team didn't sign up to spend 69% of their time on repetitive data preparation tasks. Yet this is the reality for most data teams drowning in support ticket backlogs while strategic initiatives languish. Every hour spent manually updating schemas, troubleshooting failed data loads, or running ad-hoc queries is an hour not spent on the analytics that actually drive business decisions.

Model Context Protocol (MCP) Security: How to Restrict Tool Access Using AI Gateways

For too long, the Model Context Protocol (MCP) has operated on a principle of open access: connect an AI agent to an MCP server, and it gets access to every single tool that server offers. While this approach is simple for initial experimentation, it quickly becomes a liability in production.

Why Enterprise AI Projects Fail - The Token Predictor Problem Executives Don't Understand

Why do large language models hallucinate? It's not a modeling problem. It's a data and context problem. This video breaks down why AI fails in enterprise environments and what it takes to get reliable, verifiable answers from your AI systems. When AI doesn't have governed access to live data, no understanding of your business rules, and no guardrails to keep it grounded, hallucinations aren't just likely. They're inevitable.

New: Connect Databox to Claude, ChatGPT, N8N, and more!

Most teams today are expected to move faster and be data-driven, but getting clear answers about performance is still harder than it should be. Even simple questions often require jumping between dashboards, piecing together insights manually, or relying on a small group of data experts to dig in. The process can be slow, and it often leads to more questions than answers.

CMS Interoperability : Reimagining Prior Authorization with Conversational AI

Prior authorization has long been one of healthcare’s most time-consuming and costly administrative processes, creating friction between payers, providers, and patients. Manual data entry, back-and-forth faxes, and complex coverage rules often delay care delivery and frustrate both clinicians and members. In this webinar, we'll explore how conversational AI — combined with FHIR-based interoperability, contextual understanding, and an agentic approach — can revolutionize the prior authorization process. Discover how AI-driven, human-like interactions can transform prior authorization into a seamless, intelligent workflow.

Top 5 AI-Powered SAST Tools for 2026

Static Application Security Testing has survived multiple cycles of skepticism, reinvention, and disappointment. For years, SAST was criticized for producing noise, slowing development, and failing to reflect real-world risk. Yet in 2026, SAST has not disappeared. It has changed its role. The shift is not that static analysis suddenly became perfect. It is that organizations finally stopped asking SAST to do the wrong job.