Exhibitor News

Insights from Neutune

1. Could you tell us more about the AI innovations you are bringing to the show?

Mix.audio: AI DJ is a prompt based Text2Music app like ChatGPT. Our product is not a single input/output music generative AI. It is an interactive and adaptive AI that can communicate delicately to adjust the sound you want to listen to. It is a musical companion to your daily life to provide personalized BGM.

 To do so, we build the product based on three technological steps. Firstly, the LLM-based music NLP understanding model to analyze the input text and sound. Secondly, the Sound retrieval and filtering model searches and matches the sounds to harmonize. Then, lastly, the Sound augmentation and reassembling model transforms the selected sounds to put together into music.

2. How do you envision generative AI shaping the global economic landscape, and what repercussions might it have on individual regional markets?

Generative AI will transform the creative curve, perhaps ending the ‘being bad before being good’ phase.

3. As we look towards a sustainable future, what pivotal role do you see AI startups assuming across different global regions?

As with the growth of any new industry, AI startups are at the forefront of the global marketplace, creating testbeds on multiple levels to develop different AI technologies and business models. This accumulation of empirical data allows them to spot possibilities, and the flexibility to adapt to changes in a rapidly evolving market is something only startups can do.

4. How can emerging AI solutions bolster the potential of new startups, and could this pave the way for the emergence of future industry giants or "unicorns"?

It's about finding the right business model based on your AI solution. Ideas for designing a business model should focus on imitating and learning from similar startups instead of trying to differentiate yourself by perceiving them as competitors. A kind of "parallel play" process is required.

5. As AI startups continue to innovate, what transformative effects are you observing in the realm of cybersecurity? Are there potential pitfalls in this rapidly advancing AI-centric landscape?

In cybersecurity, AI is providing a way to recognize, detect, and respond more quickly to threatening attacks online. AI-powered software and platforms have been developed to detect malicious use of other people's credentials or unusual data movement and detection.

It scans data and files to detect illegal elements, allowing organizations to make statistical judgments and proactively prevent anomalies. To assist cybersecurity professionals, AI minimizes noise, provides prioritized alerts, and leverages contextual data backed by evidence. It also improves network monitoring and threat detection techniques using automated analysis based on correlation indices from cyber threat reports.

6. As AI startups strive for mass adoption of their solutions, what ethical concerns do you foresee as being most pressing?

The unrestricted use of existing works as training data by music AI can lead to undue harm to copyright holders' rights and interests. As AI becomes more widespread, the number of copyright infringement cases could increase as it becomes easier for anyone to create secondary works using existing music.

LI: https://www.linkedin.com/company/neutune/

Twitter: https://twitter.com/mixaudio_

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