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Meeting Societal Challenges: Scalable Big Data-driven, AI-enabled Approaches

Offered By: SAIConference via YouTube

Tags

Big Data Courses Artificial Intelligence Courses Machine Learning Courses Data Analytics Courses Distributed Computing Courses Edge Computing Courses Smart Cities Courses Precision Agriculture Courses

Course Description

Overview

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Explore scalable big data-driven and AI-enabled approaches to address societal challenges in this 30-minute lecture by Professor Liangxiu Han from Manchester Metropolitan University. Gain insights into the rapid growth of data from various media sources and understand the technical challenges of big data processing. Learn about innovative AI solutions in healthcare, precision agriculture, and smart cities. Discover the development of efficient machine learning models and parallelization techniques for distributed training of neural networks. Examine real-world applications of big data technologies and their potential to drive societal impact. Understand future directions in advanced deep learning models and scalable architecture for efficient big data processing.

Syllabus

Meeting Societal Challenges: Scalable Big Data-driven, AI- enabled Approaches | Liangxiu Han


Taught by

SAIConference

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