The rise of generative AI models are spurring organizations to incorporate AI and large language models (LLMs) into their business strategy. After all, these models open up new opportunities to extract greater value from a company’s data and IP and make it accessible to a wider audience across the organization. One key to successfully leveraging gen AI models is the ability to share data.

“Quality is more important than quantity. One home run is much better than two doubles.” – Steve Jobs In the world of software testing, this quote couldn’t be more relevant. If you’re a manual tester, you know the pressure to deliver high-quality results, often within tight deadlines and limited resources. Yet, with today’s fast-paced software development cycles, meeting these demands through manual testing alone is increasingly challenging.

This year, Apple Intelligence will be available in beta. It's a set of artificial intelligence features that Apple will add to macOS, iOS, and iPadOS devices to offer consumers a more personalised experience designed to help improve their efficiency and productivity. There's a lot of excitement around what Apple Intelligence will bring to developers, consumers, and the ecosystem as a whole. You can read more about the possibilities our CEO believes it will unlock here.

The evolution of baggage handling has long been a complex challenge for airports, airlines, and travelers alike. With millions of bags processed daily worldwide, ensuring each reaches its destination efficiently and securely is critical for passenger satisfaction and operational efficiency.

In the evolving business landscape, organizations are relentlessly seeking ways to improve productivity, gain deeper insights from data, personalize end-user experiences and automate repetitive processes. As a result, many of your customers are likely hoping that integrating Artificial Intelligence (AI) will help them master these challenges effectively.

The introduction of ChatGPT and other AI chatbots is altering how businesses interact with their customers. By 2027, one-quarter of all firms are predicted to adopt them as their primary customer service channel, potentially saving 30% on support costs. However, one essential component is required for this efficiency: reliable AI testing services.