Ep 29: Improving AI Systems Through Pipelines, Infrastructure, and Governance
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Ep 29: Improving AI Systems Through Pipelines, Infrastructure, and Governance
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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!
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