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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 models can automate code generation, data augmentation, and algorithm design, accelerating the development and deployment of complex AI solutions.
Federated Learning
Federated learning enables AI models to be trained on decentralized data sources, ensuring data privacy and security while improving model accuracy and personalization.
Explainable AI (XAI)
Explainable AI (XAI) techniques provide transparency into the decision-making processes of complex AI models, fostering trust and enabling regulatory compliance.
Impactful Policy Frameworks
EU AI Act (2024)
The EU AI Act establishes a legal framework for AI in the European Union, classifying AI systems based on risk and imposing strict requirements for high-risk applications concerning transparency, accountability, and human oversight.
Compliance with the AI Act will require 9Q AI to implement risk management systems and ensure transparency in their AI solutions, potentially increasing development costs.
California Consumer Privacy Act (CCPA)
The CCPA grants California residents broad rights over their personal data, including the right to access, delete, and opt-out of the sale of their data, impacting how businesses collect, use, and share personal information.
CCPA compliance will require 9Q AI to implement robust data privacy measures, potentially limiting the use of personal data in AI models and increasing operational costs.
NIST AI Risk Management Framework (2023)
The NIST AI Risk Management Framework provides guidance for organizations to identify, assess, and manage risks associated with AI systems, promoting responsible AI development and deployment.
NIST AI Risk Management Framework adoption can improve 9Q AI's risk management practices and enhance stakeholder trust, but requires investment in new processes and technologies.
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