Systems | Development | Analytics | API | Testing

Generative AI in Healthcare: Technology, Use Cases, Trends & Future Outlook

‍ The healthcare industry stands at the cusp of a revolutionary change, driven by an emerging technology that can do more than just analyse data; it can create it. That technology is Generative AI, or GenAI, and its arrival in medicine is being hailed as the next frontier in personalised, efficient, and predictive patient care.

Before Building AI we should First Understand Natural Intelligence | Andrew Brown | Testflix 2025

Before building artificial intelligence, it’s worth asking whether we truly understand natural intelligence. Just as early pioneers of flight studied the principles of aerodynamics and observed how birds fly, this session argues that progress in AI requires a deeper understanding of human intelligence and the knowledge that already exists across related disciplines.

How US Shopping Malls Are Using AI to Increase Foot Traffic and Revenue?

In the United States, the evolution of shopping malls is no longer just about retail, it has also become about experience, engagement, and intelligence. With more than 900 active shopping malls nationwide attracting millions of visitors annually, traditional brick-and-mortar destinations are battling shifting consumer preferences and rising digital expectations. Today’s consumers are blending browsing with dining, entertainment, socializing, and convenience-driven digital interactions.

From Copilot to Co-Tester: Guardrails for AI-Written Tests | Dimpy Adhikary | Testflix 2025 |

Generative AI can produce tests instantly, but speed alone does not guarantee quality or safety. Without proper validation, AI-written tests can become brittle, redundant, or misleading, creating a false sense of coverage. This session looks at the risks of relying on AI-generated tests without the right controls in place.

Revolutionising Test Automation with Katalon TrueTest | AI-Powered Intelligent Testing

Welcome to a new era of intelligent test automation with Katalon TrueTest — a revolutionary AI-powered solution that bridges the gap between manual and automated testing. In this detailed end-to-end walkthrough, Mahtab Siddique, Senior Solutions Architect at Katalon, showcases how TrueTest uses AI and real user behaviour to generate, maintain, and optimise automation tests automatically.

Bias in, Bias Out: Knowing various Biases in Testing AI | Maheshwaran VK | Testflix 2025 |

Just like humans, AI systems are shaped by how they are brought up. In the case of Large Language Models, this upbringing happens through data collection, training, and productization. At each of these stages, bias can quietly enter the system through the data we select, the way models are trained, or the assumptions embedded into the final product. These biases, whether intentional or accidental, influence how models think, respond, and interact with users in the real world.

Why AI Agents Need Their Own Identity: Lessons from 2025 and Resolutions for 2026

As we close out 2025, it's time to reflect on the hard lessons learned from deploying AI agents in production environments. The promise of AI agents is compelling: autonomous systems that can handle complex tasks, make intelligent decisions, and execute actions on our behalf. But as several high-profile incidents this year have starkly demonstrated, this autonomy comes with unprecedented risks when proper identity and access management controls are absent.

Agentic AI: The Shift to Autonomous Software Testing

The landscape of software development is undergoing a profound transformation. We are witnessing a collision between unprecedented development speed and spiraling architectural complexity. According to the 2024 Global DevSecOps Report by GitLab, 69% of Global CxOs report that their organizations are shipping software at least twice as fast as they did a year ago.