Machine Learning
Data Analysis as a Strategic Asset
Data Filtering
Overview
Big Data and Data Warehousing Solutions
Data-Driven Textual Insights
Data Mining Overview
Knowledge Extraction
Enhance Performance Management 
Predictive Analytics Uses statistical models and
machine learning techniques to predict future outcomes
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Realizing Business Opportunities Through Data Predictive Analytics Uses statistical models and
machine learning techniques to identify the likelihood of future outcomes based on historical data
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Data Derivation Machine Learning Employs algorithms to learn from data and make predictions
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Data Analysis as a Strategic Asset Emerging trends that are shaping the future of data analysis include: Artificial Intelligence (AI) and
Machine Learning (ML): These technologies are enhancing predictive analytics and automating data processing
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Data Filtering Machine Learning Filtering Utilizes machine learning algorithms to automatically identify and filter relevant data
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Overview Modeling: Applying statistical or
machine learning models to analyze the data and extract insights
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Big Data and Data Warehousing Solutions Some future trends to watch include: AI and
Machine Learning: Integration of artificial intelligence and machine learning for predictive analytics
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Data-Driven Textual Insights Data-Driven Textual Insights employs various techniques, including natural language processing (NLP),
machine learning, and statistical analysis, to transform raw text into structured insights
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Data Mining Overview It combines statistical analysis,
machine learning, and database systems to extract information that can drive business value
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Knowledge Extraction KE employs various techniques from Text Analytics, Natural Language Processing (NLP), and
machine learning to derive meaningful patterns and knowledge from data
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