Audio recording is commonplace for financial institutions due to well-established regulations concerning recording, handling, and retention, such as Dodd-Frank, MiFID II. With the addition of new privacy rules like GDPR, personal accountability regimes, and increasing fines for misconduct regulated industries are experiencing greater pressure to know what is in their audio recordings. However, organizations are struggling to supervise the growing volume of call recordings due to limitations of their legacy voice recording solutions. Fortunately, new technologies such as artificial intelligence and machine learning are enabling efficient compliance for modern communication.
This guide discusses:
- How to create a plan to expand call recording review
- Why transcription services alone cannot meet the needs of today’s businesses
- How to integrate AI and ML tools to evolve your compliance supervision strategy
- How to identify new technologies that will: 1) reduce costs by enabling organizations to retire expensive solutions and increase scale with existing staff, and 2) streamline business processes by automating repetitive, yet essential, steps for compliance review
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Best Practices for Audio Recording Supervision_Theta Lake
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Theta Lake provides cloud-based compliance for video, audio, and other modern digital communications. Its patent-pending technology uses AI, deep learning, and seamlessly integrates with the leading audio recording, video marketing, and video conferencing platforms to detect compliance risks in what was said or shown in modern digital communications. Using AI to also power insights and automation, Theta Lake provides directed workflow to add consistency, efficiency and scale to the compliance review and supervision process, driving down the cost of compliance.View full Profile
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