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{ "item_title" : "Intelligent Multimedia Technologies for Financial Risk Management", "item_author" : [" Simon Grima", "Kiran Sood", "Bharat Rawal "], "item_description" : "Multimedia technologies have opened up a wide range of applications by combining a variety of information sources such as voice, graphics, animation, images, audio, and full-motion video which can be successfully implemented in banking, financial services and insurance (BFSI) industries to support their activities and strategic goals. This volume provides an overview of multimedia technologies in finance and banking, introduces suitable machine learning and deep learning techniques for financial data analysis, discusses fraud and cyber operation countermeasures for multimedia in financial services, presents concrete applications of natural language processing (NPR) for financial data, introduces robotic process automation technology from the financial market to technology implementation, explains how self-supervised, unsupervised and semi-supervised learning are driving the financial market revolution, and unlocks real-world case studies in multimedia banking across the globe. The book is intended for professionals involved in multimedia systems and technology design and applications. It can also be used as an advanced text for courses on multimedia.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/1/83/953/661/1839536616_b.jpg", "price_data" : { "retail_price" : "155.00", "online_price" : "155.00", "our_price" : "155.00", "club_price" : "155.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Intelligent Multimedia Technologies for Financial Risk Management|Simon Grima

Intelligent Multimedia Technologies for Financial Risk Management : Trends, Tools and Applications

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Overview

Multimedia technologies have opened up a wide range of applications by combining a variety of information sources such as voice, graphics, animation, images, audio, and full-motion video which can be successfully implemented in banking, financial services and insurance (BFSI) industries to support their activities and strategic goals.

This volume provides an overview of multimedia technologies in finance and banking, introduces suitable machine learning and deep learning techniques for financial data analysis, discusses fraud and cyber operation countermeasures for multimedia in financial services, presents concrete applications of natural language processing (NPR) for financial data, introduces robotic process automation technology from the financial market to technology implementation, explains how self-supervised, unsupervised and semi-supervised learning are driving the financial market revolution, and unlocks real-world case studies in multimedia banking across the globe.

The book is intended for professionals involved in multimedia systems and technology design and applications. It can also be used as an advanced text for courses on multimedia.

This item is Non-Returnable

Details

  • ISBN-13: 9781839536618
  • ISBN-10: 1839536616
  • Publisher: Institution of Engineering & Technology
  • Publish Date: June 2023
  • Dimensions: 9.21 x 6.14 x 0.88 inches
  • Shipping Weight: 1.55 pounds
  • Page Count: 374

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