Jordan “DJ Swivel” Young has sold 200 million records and worked with artists from Beyonce to The Chainsmokers. Now, he’s using voice cloning technology to reshape how music is made and licensed at Hooky.
Dr. Giovanni Malloy and Dr. Travis Trammell of Aerospace Technical Services developed predictive modeling for the U.S. Air Force and Space Force that they’re now applying to anticipate the risks of wildfires in the Western U.S. and help asset managers take advantage of short-term signals.
Francisco Martin and Imre Szucs are showing the benefits of AI agents for software development and addressing business challenges at Stride and TestIT, respectively.
In this special edition of The Disruption Is Now, recorded from the floor of Ai4 in Las Vegas, host Greg Matusky speaks to the innovators who are using AI to address a new breadth of challenges across industries.
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Key takeaways
AI is redefining music licensing
Hooky allows creators to use voice cloning technology with the explicit permission of artists to develop new music using AI-generated vocals. The result is a shared revenue stream that benefits both parties, eliminating the licensing headaches and ethical issues that often come with using an artist’s likeness or voice without consent.
Predictive modeling has widespread applications
Travis and Giovanni spoke about how they discovered that the probabilistic risk analysis platform they developed for the U.S. Air Force and Space Force has applications in many other areas.
Electric utilities could use it to identify wildfire risks and invest in mitigation. Asset managers could gain an advantage in evaluating short-term signals that affect markets. By applying the AI breakthroughs in one industry to others, they found new opportunities.
Different agents with different goals can improve software development
Francisco notes that the abilities of agents are really powerful already and that they’re essential to achieving better results in software development. Agents tasked with testing, replatforming, and more can free human developers to focus on building new features and increasing business value.
AI agents are taking on business complexity
Imre explains how multi-agent AI systems are helping businesses rethink how they handle complex processes. These systems consist of multiple AI agents, each specializing in a specific task, such as gathering data or cross-checking legal information.
When these agents communicate with each other, they offer a more efficient and accurate way for businesses to tackle large-scale tasks, reducing the need for manual labor while improving the overall quality of the output.
AI still needs a human touch
Even as AI systems become more advanced, Imre is clear that humans still play a vital role in validating and refining the results.
Whether it’s reviewing AI-generated legal summaries or tweaking creative outputs, human involvement ensures the system produces high-quality, reliable work. As AI grows more powerful and capable, it works best with human oversight.
Key moments
- How Hooky benefits creators and artists (1:12)
- Learning from Napster (4:28)
- AI voices as a form of sampling (8:14)
- Discovering new applications for risk analysis (11:49)
- Using AI to interpret signals (15:13)
- How agents contribute to better results in software development (21:25)
- What developers can focus on when working with agents (26:25)
- How AI agents solve business problems (29:11)
- Improving the quality of autonomous agents (30:42)
- Geoffrey Hinton’s take on the risks of AI agents (33:25)
- AI acceptance and regulation in Europe versus the U.S. (34:16)
