Systems | Development | Analytics | API | Testing

Not everyone who needs a read on release readiness lives in Jira. This video demonstrates how the SmartBear MCP Server brings trusted Zephyr test data into Claude, so anyone who needs access to testing data gets it without switching context. A QE lead checking coverage, a release manager confirming a ship date, a developer following up on a fix, and any stakeholder who just wants a fast answer has what they need.

Manually cross-validating virtual card data across disconnected systems was a constant pain, until the procurement team built an AgentSpot agent to do it automatically. This video showcases a Virtual Card Intelligence agent that pulls PO and requisition data from Google Drive, cross-validates it against Spend Flow, flags expiring cards and utilization risks across 30/60/90 day bands, and sends personalized Slack outreach to card owners. Plus a full 9-tab Excel report covering KPIs, expiry, utilization, and reconciliation. The best part? This is all done in just 4-5 minutes.

The procurement team at ThoughtSpot built two AgentSpot agents to tackle manual, time-consuming workflows — and the results speak for themselves. Agent 1 – Coupa PR Approval Nudger: Automated purchase requisition reminders that once took hours of manual chasing in Coupa and Slack. Approval cycle time dropped from 6.62 days to 2.8 days. Agent 2 – Virtual Card Intelligence: Cross-validates PO and requisition data against Spend Flow to surface budget leakage, flag expiring cards, and send personalized Slack outreach to card owners. All without manual audits.

Every week, ThoughtSpot Engagement Manager MJ Densmore used to spend up to an hour per customer manually pulling notes, digging through Slack, and checking Salesforce — just to write a status update. Now, AgentSpot does it all automatically, pulling from meeting notes, Slack messages, and support cases to generate a concise summary she can review and send in minutes. Watch to see how a quick, single prompt does the work of a full hour.

How do you know if a real estate data provider can actually deliver what they promise? In this clip from The Innovation Blueprint Podcast, hosted by ORIL, Ivo Draginov of BatchData shares why testing data quality, coverage, accuracy, and consistency matters before relying on a provider for real business decisions. Don’t just evaluate the pitch. Test the data.

Embedding ThoughtSpot into your application just got dramatically faster. SpotterCode is now in the Visual Embed Playground. Ask in plain language (rename an agent, apply a custom theme, configure an embed component), and SpotterCode generates exactly the code you need, right inside the ThoughtSpot app. In this video, see how SpotterCode eliminates the setup friction that slows down every embedded analytics build and what it looks like to go from question to working code in seconds.

The September Snow Report is LIVE Three GA launches, AI cost controls, and Expedition 2026 registration is open. What's new Per-User Quotas are GA Set daily or monthly spending limits per user for CoCo, CoWork, Cortex AI Functions, or warehouse compute — and Snowflake blocks access automatically when limits are hit. Deep Research in Snowflake CoWork is GA Multiple agents analyze your structured data, unstructured content, and external context together and deliver a fully cited report with recommendations in minutes.

Discover how Informometry’s Snowflake-native applications streamline data integration, governance, and analytics. With no-code connectivity, replicate enterprise data from platforms like Netsuite and Salesforce directly into Snowflake. Eliminate complex ETL processes and reduce integration costs while keeping data secure.

See how Astera turns data preparation and analytics into a conversational experience. Ask questions in plain language, prepare and analyze data, and turn the results into live dashboards without manually building every step. Astera brings structured and unstructured data into a governed data warehouse, then lets teams explore it through natural language. Every chart is traceable to its source, transformation steps, and underlying logic, so teams can validate how each answer was produced.

See how Astera ReportMiner uses AI Agents to build invoice automation workflows without the time consuming manual configuration. Upload your invoice requirements, and the Agent builds the workflow for extraction, transformation, validation, and delivery to your preferred destination. It shows each step as it works, so your team can review and verify the process before deployment. Once approved, the workflow can be scheduled to run unattended.