What are the main differences, pros and cons of using big data to make a smarter world in the year 2014 vs the year 2024?
Understand the Problem
The question is asking for a comparison of the use of big data to improve the world between the years 2014 and 2024, specifically focusing on the main differences, as well as the advantages and disadvantages during these times.
Answer
Big data in 2014 was limited by infrastructure, while in 2024, real-time analytics and AI integration have expanded its impact.
In 2014, big data was primarily focused on handling large volumes and was constrained by traditional data infrastructure. By 2024, advancements in technology have made real-time analytics, AI integration, and enhanced data privacy controls more prevalent, increasing big data's impact and complexity.
Answer for screen readers
In 2014, big data was primarily focused on handling large volumes and was constrained by traditional data infrastructure. By 2024, advancements in technology have made real-time analytics, AI integration, and enhanced data privacy controls more prevalent, increasing big data's impact and complexity.
More Information
In 2014, the technological framework was more focused on data collection from multiple sources and the struggle with processing large datasets. By 2024, improvements in technology such as the cloud, AI, and machine learning enable faster processing, predictive analytics, and more secure data handling.
Tips
Overlooking real-time processing capabilities and privacy concerns are common mistakes when evaluating big data's evolution.
Sources
- Pros and Cons of Big Data | Harvard Online - harvardonline.harvard.edu
- Big Data: The Management Revolution - Harvard Business Review - hbr.org
- 7 Pros and Cons of Big Data - Datamation - datamation.com
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