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- Challenges and Future Directions of Big Data and Artificial Intelligence in Education
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- From Big Data to Big Artificial Intelligence?
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This volume comprises six well-versed contributed chapters devoted to report the latest fi ndings on the applications of machine learning for big data analytics. Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them. The possible challenges in this direction include capture, storage, analysis, data curation, search, sharing, transfer, visualization, querying, updating and information privacy. Big data analytics is the process of examining large and varied data sets - i.
Challenges and Future Directions of Big Data and Artificial Intelligence in Education
Skip to Main Content. A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. Use of this web site signifies your agreement to the terms and conditions. Artificial Intelligence and Big Data Abstract: AI Innovation in Industry is a new department for IEEE Intelligent Systems, and this paper examines some of the basic concerns and uses of AI for big data AI has been used in several different ways to facilitate capturing and structuring big data, and it has been used to analyze big data for key insights. Article :. Date of Publication: 27 June
Big Data is no fad. The world is growing at an exponential rate, and so is the size of data collected across the globe. The data is becoming more meaningful and contextually relevant, breaks new ground for machine learning and artificial intelligence AI , and even moves them from research labs to production. That is, the problem has shifted from collecting massive amounts of data to understanding it, i. This Big AI, however, often faces poor scale-up behaviour from algorithms that have been designed based on models of computation that are no longer realistic for Big Data.
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Skip to search form Skip to main content You are currently offline. Some features of the site may not work correctly. Saidulu Published Computer Science. Today, as we are observing, massive sized and complex structured data is becoming available from variety of diverse sources, organizations are making attempt to utilize these plentiful resources for the purpose of enhance innovation, increase decisional and operational efficiency. Machine learning is a kind of artificial intelligence method to discover knowledge for making intelligent decisions.
From Big Data to Big Artificial Intelligence?
We discuss the new challenges and directions facing the use of big data and artificial intelligence AI in education research, policy-making, and industry. In recent years, applications of big data and AI in education have made significant headways. This highlights a novel trend in leading-edge educational research. The convenience and embeddedness of data collection within educational technologies, paired with computational techniques have made the analyses of big data a reality. We are moving beyond proof-of-concept demonstrations and applications of techniques, and are beginning to see substantial adoption in many areas of education.
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About the Special Issue
The world was already entrenched in Big Data before it even realized that Big Data existed. By the time the term was coined, Big Data had accumulated a massive amount of stored data that, if analyzed properly, would reveal valuable insights into the industry to which that particular data belonged. IT professionals and computer scientists quickly realized that the job of sifting through all of that data, parsing it converting it into a format more easily understood by a computer , and analyzing all of it for purposes of improving business decision-making processes was too much for human minds to tackle. Artificially intelligent algorithms would have to be written to accomplish the enormous task of deriving insight out of chaos. Data professionals and those with a masters in business analytics or a masters in data analytics are expected to be in demand as corporations broaden their data analytics and AI capabilities in the coming years to catch up to the amount of data being produced by all of our computers, mobile smartphones and tablets, and Internet of Things IoT devices.
Some of the best used big data tools are mentioned in this article. AI and big data telecoms: improving customer experience while reducing operating expenditures and deriving value faster from 4G, 5G and IoT networks.
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