Systems | Development | Analytics | API | Testing

How to Run a Campaign Post-Mortem With AI: A Worked Example

A marketing director sits down ten days after her campaign closed. Six browser tabs are open: LinkedIn Ads, HubSpot, GA4, Mailchimp, an attribution spreadsheet, and a blank doc that is supposed to become the post-mortem narrative. The meeting is in two hours. She knows something broke in the middle of the funnel (pipeline came in below target), but she cannot prove where or why until she reconciles numbers across all six sources.

Introducing Agentic Warehouse and Reliable Analytics Powered by Centerprise AI

Centerprise AI combines agentic warehouse construction, governed data pipelines, and conversational analytics in a single platform, eliminating the multi-tool sprawl that has slowed enterprise data teams for years. Centerprise AI’s agentic data warehouse and analytics module take organizations from raw source data to live analytics dashboards through a conversational interface.

Before Moving Your Data, Ask If You Have To

If you’re a data engineer or architect who’s been handed a database modernization mandate, the conversation usually arrives pre-loaded with a conclusion. For example, if the legacy system needs to go or the data needs to move. When thinking about data migration, it’s important to ask yourself whether data migration is the right approach at all.

Ep 76 | The Space-AI-Quantum Nexus Challenging Governance

AI governance is already struggling to keep pace. Add quantum computing and space infrastructure, and the challenge becomes exponentially harder. In this episode of The AI Forecast, Paul Muller sits down with technology governance specialist and researcher Preetha Bedi to explore the growing convergence between AI, space, and quantum technologies—and why this nexus is creating entirely new categories of systemic risk.

Snowflake Summit 2026 Opening Keynote With Sridhar Ramaswamy And Daniela Amodei

Snowflake Summit 2026 kicked off with an opening keynote on The Agentic Enterprise — featuring a conversation between Snowflake CEO Sridhar Ramaswamy and Anthropic Co-Founder and President Daniela Amodei on how AI agents are reshaping how enterprises work.

Automate project intake with multi-agent AI using MCP, Google ADK, Cloud Run, and BigQuery

Check out the repo here. Manually vetting hundreds of project requests is a thing of the past. Imagine receiving every proposal with a built in risk score, resource check, and "Go/No-Go" recommendation—delivered in seconds. Join Kevin Blanco as he demonstrates how to build a powerful multi-agent system that seamlessly integrates Google Cloud and Asana. Watch along and see a real world example of automating an infrastructure request, returning instant historical pattern analysis and live workspace context without any manual steps.