Systems | Development | Analytics | API | Testing

How Astera Uses ARIA: IT Agents

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.

Customer 360 Data Warehouse: How to Combine CRM, Billing and Support Data

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.

Ep 97 | AI Agents Move Fast. Who's in Control?

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.

The Unified Cloud Experience: True Hybrid Elasticity for Enterprise Data

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.

AI Observability in Production: How It Secures Modern Agent Workflows

Traditional software monitoring builds reliability by tracking uptime, latency, and error rates. As artificial intelligence moves into core enterprise operations, establishing robust observability in AI becomes essential to measure what systems do once live, moving far beyond basic prediction accuracy and server health. Modern non-deterministic models and autonomous AI agents act rather than just predict.

Build Embedded AI Analytics with Claude Code in 30 Min | LiveBuild | ThoughtSpot

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.