As generative AI continues to captivate attention with its transformative potential, there is a danger that traditional AI and ML become overshadowed. But as I mentioned in my last blog, this would be a mistake as traditional AI methods still hold immense value and relevance, and likely more so than generative AI in the near term.
One of the largest health insurance providers in the United States uses Unravel to ensure that its business-critical data applications are optimized for performance, reliability, and cost in its development environment—before they go live in production. Data and data-driven statistical analysis have always been at the core of health insurance.
I am excited to share that Tricentis has acquired Waldo, a mobile test automation platform. Waldo complements and extends our existing Tricentis mobile testing offerings with new test automation capabilities that will allow our customers to deliver higher quality mobile applications.
Application Programming Interface, or API, development is a critical aspect of modern software engineering, enabling diverse software systems to interact and share data seamlessly. The API serves as a contract between different software applications, outlining how they can communicate with one another. Two of the most popular architectural styles for building Web APIs are Representational State Transfer (REST) and GraphQL.
In our data-driven world, the landscape of product analytics is rapidly evolving. With the rise of Artificial Intelligence (AI) and Machine Learning (ML), we're seeing a seismic shift in how businesses approach product development and enhancement. But how does AI and ML fit into product analytics, particularly for non-technical business leaders and marketers? And more importantly, what does this mean for the future?
Generative AI stands out from other technological breakthroughs due to its remarkable velocity and unprecedented speed. In a matter of mere months since its initial emergence in the limelight, this cutting-edge innovation has already achieved scalability, aiming to attain substantial return on investment. However, it is imperative to effectively harness this formidable technology, ensuring that it can deploy on a large scale and yield outcomes that garner trust from your business stakeholders.
In this blog post, we unveil a range of new features and enhancements for Release Management. From easier TestFlight distribution and automation triggers to seamless App Store version number management, these updates will take your app deployment experience to new heights.
