Systems | Development | Analytics | API | Testing

SmartBear Hackathon Demo | AI-Powered Test Automation in SAP Cloud ALM

Watch this demo to learn how SmartBear’s winning project at SAP’s 2025 ALMathon brings AI-powered testing directly into SAP Cloud ALM. At this hackathon, SAP challenged teams to build innovative extensions. The SmartBear team delivered a cloud-first, AI-native solution that eliminates manual testing bottlenecks while aligning seamlessly with existing workflows. In this demo, you’ll see how our integration enables.

Ep 48 | Why Most Enterprise AI Projects Fail and How to Fix Them with Tom Harshbarger

In this episode of The AI Forecast, Tom Harshbarger, Director of Cloud and AI Strategy at Arrow Electronics, joins host Paul Muller to unpack what it really takes to build enterprise AI solutions that deliver value. From navigating an immature market to choosing the right partners, Tom shares hard-earned lessons from decades in the industry on how to start small, experiment intelligently, and scale with confidence.

Bitrise Mobile Insights Report defines new benchmarks for app velocity and performance, and reveals how elite teams cut build times by 28%

‍San Francisco, US — November 12, 2025 — Bitrise, the leading DevOps platform for mobile, today released Bitrise Mobile Insights 2025, a comprehensive benchmarking report based on aggregated, anonymized data across 10M+ Bitrise builds over 3.5 years across its global customer base (January 2022–June 2025). “Innovation is accelerating, user expectations are rising, and engineering teams face constant pressure to deliver,” said Barnabás Birmacher, CEO of Bitrise.

Easily Create a Real-Time AI Sales Coaching App With Confluent

Confluent data streaming platform makes creating a real-time sales meeting coach app easy. Event-driven architecture, Apache Flink SQL simplicity, and built-in connectors deliver the right messaging at the right time, straight from your company’s knowledge base.#confluent.

Accelerating QA With Xray's AI Test Case Generation

Software teams are shipping faster than ever — but testing still moves at human speed. Agile and DevOps have redefined delivery cycles, yet QA teams are often left struggling to keep up. Between evolving requirements, multiple environments, and constant regression demands, testers are expected to do more with less. One of the biggest bottlenecks? Test case design. Creating test cases manually is slow, repetitive, and prone to oversight.