The Chinese government’s 2020 plan for education evaluation reform emphasizes digital transformation and Big Data integration ...

The global big data and analytics industry is expected to experience significant ... Data is the fuel for AI and machine learning techniques that drive forward-looking organizations. Data continues to ...

Curious about AI-driven data insights? ChatGPT's advanced tools simplify data analysis, helping you handle complex datasets, ...

The surge in adoption of renewable energy driven by carbon neutrality policies has created operational challenges for large ...

SAT 5165 - Introduction to Big Data Analytics Course will cover concepts and techniques used to analyze big data. We will cover the most important big data processing frameworks (e.g. Hadoop, spark) ...

Doing this requires applying techniques of advanced visualization, data mining, machine learning, social network theory and much more. Dr. Linlin Chen’s research focuses in biostatistics and big data ...

In the era of digital transformation, the intersection of big data and artificial intelligence (AI) is reshaping industries, ...

I n today's world, in which all but a handful of industries rely on data-driven decisions, Shreyas Mahimkar has shown that ...

The volume of data in the world is increasing exponentially. In 2020, 64.2 zettabytes of data were created, that is a 314 percent increase from 2015. An increased demand for information due to the ...

The advent of next-generation sequencing (NGS) technologies and advanced sequencers has led to an unprecedented surge in biological data generated by the scientific community. This explosion of ...

Big Data Analytics, Anti-Money Laundering, Financial Fraud Detection, Machine Learning, Regulatory Technology Share and Cite: Jiang, H. (2024) Application Technologies and Challenges of Big Data ...