ML in Action – Managing Machine Learning Inference

Artificial Intelligence (AI) and Machine Learning (ML) solutions have revolutionized data analysis and insights in complex, often stochastic problems in real-world industry applications. Utilizing these solutions at scale requires optimized inference on trained model algorithms in diverse edge and endpoint configurations. Understanding how model inference works is critical to unlocking the maximum value from the AI deployments.

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ABOUT THE AUTHOR

Nirupam Kulkarni

Nirupam Kulkarni works as Product Manager focused on eInfochips' IoT and AI product and solution portfolio. He has 11 years of technology experience across IT and analytics consulting, market research, product management and digital partnerships.

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