Ep 29: Improving AI Systems Through Pipelines, Infrastructure, and Governance
Failed to add items
Sorry, we are unable to add the item because your shopping cart is already at capacity.
Add to Cart failed.
Please try again later
Add to Wish List failed.
Please try again later
Remove from wishlist failed.
Please try again later
Adding to library failed
Please try again
Follow podcast failed
Please try again
Unfollow podcast failed
Please try again
Ep 29: Improving AI Systems Through Pipelines, Infrastructure, and Governance
-
Narrated by:
-
By:
About this listen
In this episode, we explore the dynamic and intricate world of AI system maintenance, drawing from Dr. Alok Aggarwal’s book "The Fourth Industrial Revolution and 100 Years of AI". We break down the full pipeline of Machine Learning Operations (MLOps), including DataOps for maintaining data pipelines, ModelOps for retraining models, and MLDevOps for improving software, hardware, and networking. At the heart of it all lies AIOps—the comprehensive approach to AI lifecycle governance, ensuring fairness, privacy, bias management, and security in AI systems. We also look at cutting-edge research techniques that could revolutionize AI accuracy and reliability.
What keeps AI systems running—and why do they need constant care? Tune in to find out!
No reviews yet