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{ "item_title" : "Get Real Value from AI and Big Data in Analytics in Finance", "item_author" : [" Peter Ganev "], "item_description" : "The book focuses on the advantages and the real value of the use of AI (artificial intelligence) and BIG DATA in data analytics in finance. The concept of BIG DATA - its architecture and use for analytics and the AI, its features, way of working, key components are discussed in the paper. Special focus is done on the Machine Learning (ML) - its types and way of working, because of his core role in AI. Choosing the right AI model and how to get real value from AI and Big Data in financial analytics is considered. The augmenting the user's intuition across the analytics lifecycle, the key considerations for AI in analytics, the application of analytics in finance compliment the research results published in this paper.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/9/99/933/679/9999336795_b.jpg", "price_data" : { "retail_price" : "42.50", "online_price" : "42.50", "our_price" : "42.50", "club_price" : "42.50", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Get Real Value from AI and Big Data in Analytics in Finance|Peter Ganev

Get Real Value from AI and Big Data in Analytics in Finance : Practical methods for data-driven decision-making in finance

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Overview

The book focuses on the advantages and the real value of the use of AI (artificial intelligence) and BIG DATA in data analytics in finance. The concept of BIG DATA - its architecture and use for analytics and the AI, its features, way of working, key components are discussed in the paper. Special focus is done on the Machine Learning (ML) - its types and way of working, because of his core role in AI. Choosing the right AI model and how to get real value from AI and Big Data in financial analytics is considered. The augmenting the user's intuition across the analytics lifecycle, the key considerations for AI in analytics, the application of analytics in finance compliment the research results published in this paper.

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Details

  • ISBN-13: 9789999336796
  • ISBN-10: 9999336795
  • Publisher: Eliva Press
  • Publish Date: January 2026
  • Dimensions: 9 x 6 x 0.12 inches
  • Shipping Weight: 0.21 pounds
  • Page Count: 60

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