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Industry Landscape
The AI decision intelligence industry is rapidly evolving, driven by the increasing need for organizations, especially in regulated sectors, to leverage vast datasets for actionable insights and automated decisions. Transparency and auditability (XAI) are becoming critical, leading to significant investment in platforms that offer trusted AI solutions to manage complex risks and ensure compliance.
Total Assets Under Management (AUM)
Artificial Intelligence Market Size in United States
~$136.2 billion USD (2022)
(37.3% CAGR)
- AI market size reflects global spending on AI technologies.
- Includes software, hardware, and services related to AI.
- Driven by adoption across various industries for automation and insights.
Total Addressable Market
1.39 trillion USD
Market Growth Stage
Pace of Market Growth
Emerging Technologies
Generative AI for Data Augmentation
Generative AI can create synthetic datasets that mimic real-world data, enabling robust model training for complex, sensitive data scenarios, especially in regulated industries where real data is scarce or privacy-restricted.
Federated Learning
This technology allows AI models to be trained on decentralized datasets at their source, enhancing data privacy and security by not requiring raw data to be centralized, which is crucial for highly regulated sectors.
AI TRiSM (Trust, Risk, and Security Management)
AI TRiSM offers a framework for ensuring the trustworthiness, reliability, and security of AI models, addressing explainability, privacy, and ethical considerations crucial for enterprise adoption and regulatory compliance.
Impactful Policy Frameworks
Proposed EU AI Act (expected implementation 2024-2025)
The European Union's Artificial Intelligence Act is a landmark regulation aiming to establish a legal framework for AI, classifying AI systems based on their risk level and imposing strict requirements on high-risk AI applications.
This policy will compel App Orchid and its clients to adhere to stringent requirements for high-risk AI systems, including data governance, transparency, human oversight, and robustness, directly impacting product development and compliance strategies.
National Institute of Standards and Technology (NIST) AI Risk Management Framework (AI RMF 1.0, 2023)
NIST's AI RMF provides voluntary guidance for organizations to manage risks associated with AI, promoting trustworthy and responsible development and use of AI systems, with a focus on govern, map, measure, and manage functions.
While voluntary, this framework will become a de facto standard, influencing enterprise procurement of AI solutions and requiring App Orchid to align its explainable AI and risk management features with NIST's principles to attract and retain clients.
Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (October 2023)
This U.S. Executive Order directs federal agencies to establish new standards for AI safety and security, focusing on privacy, civil rights, competition, and responsible innovation across various sectors.
The order's emphasis on responsible AI, privacy-preserving techniques, and managing AI risks will drive demand for App Orchid's XAI and decision intelligence capabilities, necessitating alignment with emerging federal guidelines for trusted AI.
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