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Industry Landscape
Total Assets Under Management (AUM)
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Total Addressable Market
Market Growth Stage
Pace of Market Growth
Emerging Technologies
Generative AI
Generative AI can automate application development and accelerate the creation of AI-powered insights and applications, reducing development time and costs.
Federated Learning
The rise of federated learning enables AI models to be trained across decentralized data sources while maintaining data privacy and security, addressing concerns around data governance.
Explainable AI (XAI)
Advancements in explainable AI (XAI) provide transparency and interpretability of AI models, building trust and enabling better decision-making by understanding how AI arrives at its conclusions.
Impactful Policy Frameworks
California Consumer Privacy Act (CCPA)
The CCPA, enacted in 2018, grants California consumers various rights over 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 will require careful management of data usage and consent, potentially affecting how App Orchid collects and processes data for AI model training and deployment.
General Data Protection Regulation (GDPR)
The GDPR, implemented in 2018, regulates the processing of personal data of individuals within the European Union (EU), imposing strict requirements for data protection and privacy.
Adherence to GDPR standards can enhance trust and credibility, but also necessitate greater transparency and control over data processing activities within App Orchid's platform.
NIST AI Risk Management Framework
The NIST AI Risk Management Framework, released in 2023, provides guidelines and best practices for managing risks associated with AI systems, promoting trustworthy and responsible AI development.
NIST's AI Risk Management Framework promotes responsible AI development and deployment, guiding App Orchid to align their AI solutions with ethical and trustworthy practices, thereby enhancing user confidence and regulatory compliance.
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