Harnessing Big Data and AI for Next-Generation Business Intelligence in

Cloud Environments

Abstract

As the volume and diversity of data grow at an unprecedented pace, new technologies have emerged to manage and analyze

enormous data collections captured across a range of domains. In particular, big data technologies challenging existing business

analytics models are increasingly implemented on cloud infrastructure with significant thrusts from AI, machine learning, and

workflow management techniques. However, to exploit these techniques in practice, the necessity for scalable performance, geodistributed

storage, and disaster recovery compellingly encourages platform providers toward dynamic decentralized cloud

topologies. This chapter analyzes potential pitfalls and capabilities of future cloud infrastructures and offers an optimal practice

for creating next-generation business intelligence projects fully harnessing the advanced big data technologies applied in cloud

environments, converging and delivering a variety of service models. Supportive projects focusing on advanced industry

demands, proposed as tools-as-a-service, will be introduced and detailed, providing both benchmarking performance analysis, as

well as a demonstration of best practices for non-experts.