Systems | Development | Analytics | API | Testing

Your next banking initiative shouldn't wait on another custom integration. Keep your core banking system and connect everything around it with Centerprise AI. Describe the pipeline you need, and it generates the connections, mappings, transformations, and data quality checks across APIs, databases, legacy systems, and more.

In this demo, Perforce Principal P4 User Advocate Jase Lindgren walks through setting up and deploying P4 Cloud on AWS. Jase will cover:· How to subscribe to P4 Cloud through the AWS Marketplace· How to configure and deploy your own P4 Cloud server· How to navigate and manage your P4 Cloud dashboard· How to connect to your server and prepare it for your team Next Steps & Resources.

Most companies are investing in AI. Very few are seeing it reflected in their financial results. The gap comes down to three foundational decisions. In this clip from The Data & AI Chief, Raman Tallamraju from Vanguard breaks down what the companies seeing measurable AI benefits have in common.

Episode 2 of the Serious About Process podcast is live! What if most of your underwriters’ time is spent on admin instead of underwriting? In this episode of Serious About Process, Gijsbert Cox and Roger Lewis explore how to reclaim that time through smarter processes, practical automation, and AI that enhances, not replaces, decision-making. From escaping pilot purgatory to scaling real solutions, they break down how insurers can drive measurable impact without ripping out legacy systems.

See agentic testing in action with SmartBear BearQ. BearQ uses autonomous agents to explore your application, uncover defects, create regression tests, and adapt testing as your product changes – with human oversight built into the process. Broken, flaky test scripts eat up hours every sprint – and still leave gaps in coverage. SmartBear BearQ replaces constant script maintenance with agentic QA, so testing can move beyond predefined paths without giving up human oversight.

Get a quick look at Declarative Pipelines in Qlik Talend Cloud in just 4 minutes. In this video, Mike Tarallo from Qlik shows how you can go from intent to a working data pipeline using a declarative, code-driven approach, leveraging Claude Code, VS Code and Qlik Talend Cloud to generate the YAML and supporting files needed to define your pipeline.

AI didn't remove the release bottleneck, it moved it downstream. Code volume exploded, verification didn't. The old QA model isn't broken, it's outgrown: 80% of engineering teams have already traced a production incident to AI-generated code. AURA is Sauce Labs' answer, the only full-lifecycle release assurance platform built to close the gap. It continuously verifies every release against business intent, authoring, running, and regenerating tests in an autonomous learning loop, with humans in control.

Learn more: speedscale.com.

The Thought Tank is back. This time, ThoughtSpot CMO and host Micheline Nijmeh is sitting down with Kelley Jarrett to unpack where Sales Ops gets an edge with real-time data. Join us live on August 26th at 12:30 PM ET. If you're in Sales Ops or RevOps, this one's for you. Kelley will pull back the curtain on how she actually runs pipeline, manages AE performance, and keeps forecast accuracy honest, all from ThoughtSpot.

The dashboard looked perfect. It was AI-generated, visually stunning, the kind of output that would sail through a stakeholder review without a second glance. Then, during a live stream, someone pointed out the KPI in the top left corner was wrong. That moment captures one of the most important and underappreciated risks in AI-generated analytics right now. A confident answer isn't the same as a correct one, and in enterprise settings, the gap between the two can be very expensive.