Systems | Development | Analytics | API | Testing

Doctor Appointment App Development: Process, Costs, and Timeline

‍ In the fast-evolving world of healthcare software development, the bridge between a patient and their provider is no longer a phone line; it is a high-performance mobile application. The demand for Doctor Appointment App Development has transitioned from a "nice-to-have" luxury to a fundamental infrastructure requirement for modern medical practices.

EVOLVE25: CRO Keynote with Frank O'Dowd

Learn why 95% of AI implementations fail and how "winners" succeed by solving narrow, high-value back-office problems with a trusted data lakehouse foundation. Discover the latest innovations in private cloud inferencing, data lineage via Octopai, and the new "AI in a Box" solution developed with Dell and NVIDIA. From managing 3-exabyte data lakes to reducing TCO on AWS, see how Cloudera is modernizing the open data lakehouse for the next era of enterprise intelligence..

5 Best AI Penetration Testing Companies in 2026

Penetration testing has moved far beyond periodic security assessments and compliance-driven engagements. Modern enterprise environments change continuously. Cloud infrastructure evolves daily, identity permissions expand organically, and internal services become externally reachable through configuration rather than code. In parallel, attackers operate persistently, using automation to probe environments until exploitable paths emerge.

From Data to Deals: How to Build an AVM Listing Platform for Real Estate

Every successful listing starts with the right price, but in today’s fast-moving market, manually valuing properties can be slow, inconsistent, and risky. AVM platforms give brokerages the power to generate instant, data-driven valuations, helping agents set competitive prices, win more listings, and close deals faster. We break down what an AVM platform is, the challenges brokerages face, the key data and features to prioritize, and how to turn complex market data into actionable insights.

Did you expect the implementation to take longer than it actually did?

Yes, the team expected the implementation to take longer. Given the client’s secure environment, multiple pre-production setups, and many agile teams, the plan allowed for nine weeks or more. In reality, the implementation was completed in about six weeks, even with an unplanned pause, which exceeded expectations and highlighted how smoothly the rollout went — Mush Honda, Chief Quality Architect at Katalon.

How to make APIs AI-ready | Automating reviews with Swagger Studio & Spectral

As AI agents increasingly interact with APIs, design clarity and structured metadata matter more than ever. In this focused demo, Senior Solutions Engineer Mairtín Conneely take us through how to use Spectral rulesets in Swagger Studio to automatically enforce AI-ready API design standards across your OpenAPI definitions. This video covers:What “AI-ready” API design meansCreating custom Spectral rulesImporting governance rules into Swagger StudioRunning automated AI-readiness checksScaling API quality with governance automation.