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The Proliferation of UnstructuredData Trend Overview Unstructureddata—such as emails, images, videos, and social media content—is growing exponentially. By 2025: UnstructuredData Will Dominate: It’s projected that unstructureddata will account for approximately 90% of all data generated.
One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? When used strategically, text-mining tools can transform raw data into real business intelligence , giving companies a competitive edge. How does text mining work?
Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructureddata for various academic and business applications.
Bigdata is a massive opportunity. We’ve all seen the bigdata statistics: every minute 1,820 TB of data is created, 204m emails and 11 million instant messages are sent, 700,000 Google searches are made and businesses receive 35,000 Facebook likes. Unstructured Social data, sentiment and trend analysis.
While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to bigdata while machine learning focuses on learning from the data itself. What is data science? It’s also necessary to understand data cleaning and processing techniques.
Knowledge catalogues can help organize data effectively, and the data refinery provides out-of-box models for data cleansing. Watson® Discovery in CP4D can help ingest unstructureddata (such as inspection reports, progress reports and OEM documentation) and prescribe appropriate SOPs to improve overall asset handling.
In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructureddata.
Now the Fourth Industrial Revolution [2] is “digitizing the farm”— that is, radically reimagining agriculture through bigdata analytics that help farmers increase crop yields and using artificial intelligence (AI) to monitor pests, plant diseases, soil nutrients, and other growing conditions.
We can also partner with technology in the near term to mitigate the chaos-for example, using R programming tools to mine text, categorize, cluster, and de-duplicate unstructureddata collections. Bigdata being managed today is but one dimension of a much more complex future environment.
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