Across the industry, organizations are attempting to find ways to implement generative AI in their business and operations. But doing so requires significant engineering, quality data and overcoming risks. In this blog post, we show all the elements and practices you need to to take to productize LLMs and generative AI. You can watch the full talk this blog post is based on, which took place at ODSC West 2023, here.

Microservices architecture has gained significant traction due to its ability to break down monolithic applications into smaller, independently deployable services. However, the benefits have often been lop-sided. While backend developers have realized numerous advantages, frontend adoption has been held back by tight coupling, slow development cycles and scalability issues. Microfrontends have emerged as a solution to these challenges by applying microservices principles to the frontend.

The goal of any mobile product is to create an app experience that’s innovative and new. But you must accomplish specific, necessary steps between crafting a clear vision for your app and creating a mobile application. As explained in our step-by-step mobile application testing process, it’s imperative to understand and resolve any requirement contradictions before finalizing the development phase.

Recently at re:Invent, Amazon unveiled S3 Express One Zone for AWS. Express Zone for S3 responds to the demand for faster analytical query speeds, with the convenience of centrally storing all of your application telemetry data in cloud object storage. In the past, for data-intensive applications, data access speeds were slower than desired.

User engagement means how much a person uses an app and stays interested in it. It's super important for developers to give users good reasons to keep using their app. In mobile marketing, a big goal is to get more people engaged with apps. This can be done in different ways like sending them emails that they're interested in, making content that's just for them, and trying out new marketing ideas.

Integrating Artificial Intelligence (AI) in software testing is a major advancement in software development, enhancing efficiency and accuracy while handling complex scenarios. This technological leap introduces significant ethical challenges, such as concerns over data misuse and the need for algorithmic transparency. Understanding and addressing these issues is crucial for fostering responsible innovation in AI.

Generative AI was undoubtedly the most important data moment of 2023, and created a level of excitement for our industry that will certainly continue to be felt in 2024. As we welcome the new year, I am thrilled to share that Qlik is hitting the ground running on that front: today we are announcing the acquisition of groundbreaking technology from Kyndi, an innovator in natural language processing, search, and generative AI.