In this episode of the Data Revolution podcast, host Kate Carruthers interviews Gerard Solden, who shares his journey from banking to AI infrastructure. They discuss the reality of AI technology, the importance of accuracy and reliability in AI systems, and the innovative concept of agentic frameworks. Gerard explains the potential of Manus AI and the future of custom AI models tailored to individual needs. The conversation also touches on the significance of auditing AI responses, the intersection of AI and blockchain, and the impact of quantum computing on AI advancements. They conclude with predictions for the future of AI and the importance of cultivating talent in the field.
Takeaways
- AI is a transformative technology that is changing the world.
- There is a significant gap in understanding AI use cases among businesses.
- Accuracy and performance are critical in AI applications.
- Agentic AI allows for more complex reasoning and task management.
- The future of AI may lie in smaller, custom models rather than one-size-fits-all solutions.
- Quantization is essential for running AI models efficiently on smaller devices.
- Sovereign data security is becoming increasingly important in AI.
- The relationship between AI and quantum computing is evolving rapidly.
- Auditing AI systems is a significant challenge that needs to be addressed.
- The growth of AI and quantum technologies requires skilled personnel to manage them.
