Balancing Innovation and Security
Mike shares a pivotal moment in product development where a fresh AI concept sparked excitement among the team. He emphasizes the importance of addressing security concerns while innovating, often starting with synthetic data to mitigate risks. This approach allows for rapid proof of concept, demonstrating the potential of AI solutions while maintaining a focus on privacy and security.In this clip
From this podcast
Practical AI
Understanding what's possible, doable & scalable
Related Questions
How can trust be built into AI systems as discussed in the episode Data Privacy and Security // LLMs in Production Conference Panel Discussion and the clip Building Trust, Security, and Privacy?
What challenges arise in data sets in the episode "When Machine Learning meets privacy - Episode 9" and the clip "Synthetic Data Adoption"?