Uploaded December 2025 | Updated September 2026, 4 days ago
#ai
This is part three of a ten part podcast series focused on the ten most impactful developments in artificial intelligence expected to transition from limited use to infrastructure-level technology over the next five years.
Specifically, it details AI-Generated Synthetic Data Platforms, explaining their function in creating non-human-sourced training data for AI models to address the growing scarcity of high-quality human-labelled data.
The discussion highlights the benefits across various sectors, such as healthcare for rare disease identification and privacy compliance, and service industries for customized solutions, while also acknowledging significant challenges including accuracy, bias, ownership, and ethical considerations.
Ultimately, we suggest synthetic data as a ground-breaking, scalable, and cost-effective solution to data scarcity and privacy issues, poised to shape the future of AI.
AI was used to assist in the creation of this video.
Source files and an Index to all our YouTube videos are accessible from here
gsfsoftware.co.uk/PBTutorials/Projects.htm
I don't work for, nor am I paid by, or sponsored by, the owners of PowerBASIC or any other company mentioned in this podcast, I'm just a fan of their products.
For more information on PowerBASIC visit
pbusers.org
OR
pump.richheimer.de/index.php
Music by ghosthack.de
#ai
This is part three of a ten part podcast series focused on the ten most impactful developments in artificial intelligence expected to transition from limited use to infrastructure-level technology over the next five years.
Specifically, it details AI-Generated Synthetic Data Platforms, explaining their function in creating non-human-sourced training data for AI models to address the growing scarcity of high-quality human-labelled data.
The discussion highlights the benefits across various sectors, such as healthcare for rare disease identification and privacy compliance, and service industries for customized solutions, while also acknowledging significant challenges including accuracy, bias, ownership, and ethical considerations.
Ultimately, we suggest synthetic data as a ground-breaking, scalable, and cost-effective solution to data scarcity and privacy issues, poised to shape the future of AI.
AI was used to assist in the creation of this video.
Source files and an Index to all our YouTube videos are accessible from here
gsfsoftware.co.uk/PBTutorials/Projects.htm
I don't work for, nor am I paid by, or sponsored by, the owners of PowerBASIC or any other company mentioned in this podcast, I'm just a fan of their products.
For more information on PowerBASIC visit
pbusers.org
OR
pump.richheimer.de/index.php
Music by ghosthack.de
