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Media and Entertainment
We can help the industry reduce manual effort and operational costs significantly (30-50%) while providing scalability to handle peaks in volume. Reduction in human interventions also enables better compliance

Overview

Today, the world is consuming more media than ever before, with information readily available right at our fingertips. Tech Mahindra’s AI-First solutions are gearing up information providers and broadcasters to thrive in the next generation of media and entertainment dissemination.

Helping safeguard and distribute information intelligently

In a world where information and data have become both power and currency, and people are constantly in touch with innumerable forms of entertainment, our AI-First solutions can help the media and entertainment industry create rich content, provide enhanced consumer experience and also drive better monetization strategies.

Industry Gap

  • Most broadcasters are now streaming hours and hours of always-on content. Hence, maintaining consistency in quality is a humungous task
  • Implementing broadcaster or network guidelines could take several person-hours, and consistency might be compromised
  • Ensuring the right content reaches the right audience, requires deep knowledge of where, when and how to reach them, and the answer is ever-changing

Service Offerings

Tech Mahindra’s AI service offerings include

  • Expertise in technology and analytics, which can be put to the best use by devising next generation solutions in media and entertainmentAI can be used to read through the immense content that goes out every day in various forms and formats, and cull out any inconsistencies, discrepancies or undesirable content
  • AI can help scrutinize a great amount of information and make it uniform as per the format prescribed by the broadcaster

Solutions and Benefits

  • Solutions
  • Benefits
  • INFORMATION QUALITY CHECK

    Tech Mahindra’s AI-First solution can analyse video/audio content and identify objectionable visual content (like nudity, violence, smoking, drug abuse, profanity, etc.) by using NLP and Deep Learning Techniques.

  • OBJECT RECOGNITION

    To identify company logos or faces in the available content, Computer Vision Techniques are used to analyze the video file/stream. Once identified, the broadcaster can choose to monetize them.

  • INFORMATION QUALITY CHECK

    30-50% reduction in manual effort and operating costs while providing scalability to handle peaks in volume. The automated mastering process saves re-mastering time on edit machines by 50%

  • OBJECT RECOGNITION

    50% reduction in manual effort of screening and tagging time. The solution facilitates new monetization opportunities and simplifies compliance management

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