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Advancements in neural networks, especially transformer-based models, are significantly enhancing the accuracy and efficiency of speech recognition and natural language understanding.
Federated learning enables training AI models on decentralized data sources, enhancing data privacy and security while still leveraging large datasets for improved model performance.
Edge computing brings AI processing closer to the data source, reducing latency and enabling real-time speech processing for applications like voice assistants and live transcription.
The General Data Protection Regulation (GDPR), enacted in 2018, regulates the processing of personal data of individuals within the EU, imposing strict rules on data collection, storage, and usage.
Compliance with GDPR enhances customer trust and enables AssemblyAI to serve European markets effectively by ensuring data is processed with strict privacy measures.
The California Consumer Privacy Act (CCPA), effective since 2020, grants California residents specific rights regarding their personal data, including the right to know, the right to delete, and the right to opt-out of the sale of their personal information.
Compliance with CCPA provides a competitive advantage by assuring customers, especially in California, that their data is handled with transparency and security, fostering greater adoption of AssemblyAI's services.
The Health Insurance Portability and Accountability Act (HIPAA) of 1996 sets the standard for sensitive patient data protection, outlining the requirements for the use, disclosure, and safeguarding of protected health information.
Adhering to HIPAA guidelines allows AssemblyAI to expand its services within the healthcare industry, offering compliant speech AI solutions for sensitive medical data and improving healthcare workflows.
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