Text-to-music models have revolutionized the creative landscape, offering new possibilities for music creation. Yet their integration into musicians workflows remains underexplored. This paper presents a case study on how TTM models impact music production, based on a user study of their effect on producers creative workflows. Participants produce tracks using a custom tool combining TTM and source separation models. Semi-structured interviews and thematic analysis reveal key challenges, opportunities, and ethical considerations. The findings offer insights into the transformative potential of TTMs in music production, as well as challenges in their real-world integration.

Text-based prompting remains the predominant interaction paradigm in generative AI, yet it often introduces friction for novice users such as small business owners (SBOs), who struggle to articulate creative goals in domain-specific contexts like advertising. Through a formative study with six SBOs in the United Kingdom, we identify three key challenges: difficulties in expressing brand intuition through prompts, limited opportunities for fine-grained adjustment and refinement during and after content generation, and the frequent production of generic content that lacks brand specificity. In response, we present ACAI (AI Co-Creation for Advertising and Inspiration), a multimodal generative AI tool designed to support novice designers by moving beyond traditional prompt interfaces. ACAI features a structured input system composed of three panels: Branding, Audience and Goals, and the Inspiration Board. These inputs allow users to convey brand-relevant context and visual preferences. This work contributes to HCI research on generative systems by showing how structured interfaces can foreground user-defined context, improve alignment, and enhance co-creative control in novice creative workflows.

Picsart, the world's leading digital creation platform and a top 20 most downloaded app worldwide, announced new generative AI tools to create images and ad copy. "There are two huge advantages of this technology: the first is making creativity accessible to new people and the second is increasing productivity for those who already create. The tools we're launching today are the first of many generative AI features we plan to roll out." Growing in popularity, text-to-image generators allow users to create an image from a few words or phrases. Picsart's AI Image Generator provides a unique, free and seamless end-to-end editing experience by offering the ability to create AI images in seconds.

In a time when the pace of change is accelerating, the presence of creative excellence for businesses is crucial for success. However, it is easier said than done. Creative excellence with humans alone has its setbacks, preventing it from reaching its full potential. That's where artificial intelligence comes in. AI is an extraordinary force for creative excellence.

In a time when the pace of change is accelerating, the presence of creative excellence for businesses is crucial for success. However, it is easier said than done. Creative excellence with humans alone has its setbacks, preventing it from reaching its full potential. That's where artificial intelligence comes in. AI is an extraordinary force for creative excellence.

In the past, Metadata Management is used to know how to use data catalog to find simple data or a book or a periodical in a library. However, today it is one of the most critical data practices for a successful organization dealing with data. With the rise of distributed architectures, including cloud & big data, metadata management is now critical for organization to manage. So what is metadata management? Metadata management is the proactive use of metadata to govern data in an organisation, allowing for well-informed business decisions and data handling efficiency.

The first full-length mainstream music album co-written with the help of artificial intelligence (AI) was released on 12 January and experts believe that the science behind it could lead to a whole new style of music composition. Popular music has always been fertile ground for technological innovation. From the electric guitar to the studio desk, laptops and the wah-wah pedal, music has the ability to absorb new inventions with ease. Now, the release of Hello World, the first entire studio album co-created by artists and AI could mark a watershed in music composition. Stemming from the FlowMachines project, funded by the EU's European Research Council, the album is the fruits of the labour of 15 artists, music producer Benoit Carré, aka Skygge, and creative software designed by computer scientist and AI expert François Pachet.