Systems | Development | Analytics | API | Testing

IT touches almost everything in a software company, from accounts and security to infrastructure, which means even a small delay becomes a bottleneck. Sudais (Growth Strategist) sits down with Abbas Hussain (Product Solutions Engineer), to talk about how Astera uses ARIA in IT: the IT agent that Abbas helped build, how it works, and how it has become part of the IT team's day-to-day.

Watch Centerprise AI build a unified customer warehouse from CRM, billing, support, and product usage data, with the architecture and loading pipelines generated from a single chat. This demo walks through a real data warehousing scenario: customer data is split across Salesforce, Stripe, Zendesk, and product usage systems, and answering “how healthy is this customer?” means joining all of them. See how the agent reads each source, designs a unified staging model and a dimensional model, builds the loading pipelines, and schedules everything to run automatically.

One developer burned through 300 million AI tokens in a single week. The payoff was far less impressive. For Todd Trevillion, it's a striking example of what can happen when AI adoption outpaces the controls needed to manage it. And with autonomous AI agents beginning to make decisions on behalf of businesses, the stakes are getting higher.

Stuck waiting on hardware procurement cycles while critical workloads sit in "ACCEPTED" state? In this demo, see how Cloudera’s Unified Cloud Experience solves on-prem resource crunches using secure Cloud Bursting. Follow along with a real-world financial fraud detection pipeline as it seamlessly scales out to AWS compute—without migrating sensitive on-prem HDFS datasets, rewriting Spark code, or compromising Ranger security and Atlas lineage.

Embedded analytics in 30 minutes: watch us embed an AI analyst and branded analytics into an app with ThoughtSpot's SpotterCode in Claude Code. Live Thursday, October 29 8am PT · 11am ET · 3pm GMT · 8:30pm IST What you'll see: Every step is real code against ThoughtSpot's Visual Embed SDK and REST APIs. No ThoughtSpot experience needed. Speaker: John Hegele, Principal Technical Architect, ThoughtSpot.

Requirements change in Jira all the time, and QE teams have to catch every edit to update their test cases. Connect Tricentis AI Workspace agents to Jira and qTest, so any requirement change generates and updates test cases for you with the right context. In this walkthrough, Senior VP of Product Marketing Ryan Yackel, will show you how a Jira edit triggers an agentic workflow, pushes test requirements into qTest, and creates test cases with a human-in-the-loop checkpoint.

Someone opens a spreadsheet, pastes data from two systems side by side, and compares row by row, hoping to catch every error before it reaches production. In conversations with enterprises, nine out of ten still test data this way. In this short video, Adnan Ćosić, Senior Product Marketing Manager at Tricentis, explains why "stare and compare" and custom scripts can't keep up with modern data landscapes, and how Tricentis Data Integrity automates data testing end to end so you can trust every decision.

In this AI transformation roundtable, Nate Custer, Principal Technologist at TTC Global, shares how to measure productivity on an agentic quality engineering team. Drawing on a mainframe regression story, he explains why saving time only matters if you use it to close coverage gaps. He also argues that QA teams should track how often they have to fix AI-generated code, and why that measurement might mean more than speed or headcount.