AI and ML in Industry | Bridging Academics and Real-World Applications - In this session at Code Crafters - IIT Madras BS Degree, I shared insights on "Bridging the Gap Between Academics and Industry in AI/ML." The talk covered key AI/ML concepts, real-world applications in industries like healthcare and finance, and the critical role of data engineering in AI success.
Key Takeaways:
Introduction to AI/ML: Clear breakdown of artificial intelligence and machine learning concepts.
Real-time Applications: Exploring how AI/ML are revolutionizing healthcare, finance, and autonomous vehicles.
Data Engineering: The vital role of data in AI/ML success and ensuring data quality and accessibility.
Industry Readiness: How to prepare for an AI/ML career through hands-on projects, internships, and collaboration with experts.
Continuous Learning: The importance of staying up-to-date with evolving AI/ML technologies.
Watch the full video to learn how to build a successful career in AI/ML!
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