Biometrics as a Service in Media and Entertainment

The media and entertainment industry consists of companies in film, print, radio, and television fields. The major functionality of this industry depends on understanding the viewer behaviors for understanding their likes and dislikes. Physical and behavioral biometric technologies prove to be advantageous for the industry to identify and measure its audience feedback. This feedback can be later analyzed to provide a better viewer engagement. Biometric tools are used to extract as well as to measure the relevant viewer information from various media platforms. Additionally, biometric technology is also used in the gaming industry to improve player experience. Moreover, the media and entertainment industry is vulnerable to unethical practices such as piracy, over billing, fake invoicing, and data thefts, which increase revenue losses. It is a challenge for this industry to prevent this data from vulnerabilities. This has encouraged them to deploy payment security solution. Moreover, the payment security solution is helping this industry to comply with PCI DSS regulatory compliance. A cyber-attack on these industries can lead to a huge impact on the critical business applications. Thus, media and entertainment organizations are increasingly deploying the cutting-edge biometrics-as-a-service offerings to protect their systems from frauds.

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In Biometrics as a Service

  1. ACCENTURE PLC
    0 Reviews
    3.8
  2. FUJITSU LIMITED
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    3.7
  3. LEIDOS
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    3.7

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Biometrics as a Service in Media and Entertainment Quadrant

Comparing [object Object] vendors in Biometrics as a Service across 57 criteria.

KEY BUYING CRITERIA

Below criteria are most commonly used for comparing Biometrics as a Service tools.
Product Maturity
Company Maturity
Most IMPORTANT
0.0
0.0
0.0
Breadth and Depth of Product Offerings
2.70
3.45
3.25
Product Features and Functionality
2.75
2.65
2.40
Product Quality and Reliability
5.00
5.00
5.00
Product Differentiation and Impact on Customer Value
5.00
4.45
3.45
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#NOBLIS is tagged in this problem 2:56 PM 9 Jul,19
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