Future Trends for ML-Based Data Analytics in the Cloud

Abstract

For your information, machine learning (ML) and cloud computing is changing the dynamics of data analytic making it advantageous for businesses, allowing them to handle huge datasets with speed, scalability and cost-effectiveness. As industries tackle sophisticated data problems, the intersection of these technologies facilitates elevated anticipation potential, encourages innovation and powers operational quality. This chapter considers the genesis of cloud-based ML, its transformative implications across industries from healthcare to retail to urban planning. We highlight emerging trends such as hyperautomation, edge AI, federated learning and explainable AI as likely to shape the future of analytics. Featured alongside these innovations are the challenges of data privacy, skills shortages and environmental sustainability, discussed with practical solutions. The chapter ends with a discussion about a more comprehensive usage of ML in the cloud through quantum computing and blockchain and provides recommendations for enterprises to fully realize the potential of these technologies.

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