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Author:   Abhishek Mishra
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   APress
Edition:   1st ed.
ISBN:  

9798868801570

Pages:   256
Publication Date:   13 March 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

Chapter 1: Introduction to Scalable AI Systems.- Chapter 2: Fundamentals of Scalability in AI.- Chapter 3: Data Engineering for Scalable AI.- Chapter 4: Scalable AI Algorithms and Models.- Chapter 5: Scalable AI Infrastructure and Architecture.- Chapter 6: Scalable AI Deployment and Productionization.- Chapter 7: Scalable AI for Real-time and Streaming Data.- Chapter 8: Scalable AI for Edge Computing.- Chapter 9: Scalable AI Governance and Ethics.- Chapter 10: Case Studies and Best Practices.- Chapter 11: Future Trends and Emerging Technologies.- Chapter 12: Conclusion and Final Thoughts.

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Author Information

Abhishek Mishra is a seasoned data science and analytics professional with extensive expertise in information technology services and products. With a remarkable 15-year track record, Abhishek has leveraged his data science knowledge and engineering skills to analyze vast datasets, interpret findings, and communicate actionable insights to drive effective business decision making. He has successfully led global analytics teams, developed cutting-edge machine learning solutions, and formulated data analytics strategies for esteemed organizations such as Marsh and McLennan, Fiserv India Pvt Ltd, and Deloitte Inc.

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