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Industry Landscape
The AI integration software industry is experiencing rapid growth, driven by the increasing need for enterprises and government agencies to operationalize AI insights. Focus is on seamless embedding of AI into existing workflows, ensuring data security, compliance, and real-time actionable intelligence. Challenges include complexity of integration and securing sensitive data.
Total Assets Under Management (AUM)
Enterprise AI Software Market Size in United States
~$13.9 Billion (2023)
(32.4% CAGR)
• Driven by increased enterprise AI adoption.
• Focus on automation and efficiency gains.
• Growing demand for specialized AI solutions.
Total Addressable Market
100.9 Billion USD
Market Growth Stage
Pace of Market Growth
Emerging Technologies
Generative AI (Beyond LLMs)
Beyond large language models, the rise of specialized generative AI for data synthesis, code generation, and content creation will revolutionize how AI insights are produced and consumed within enterprise applications.
Explainable AI (XAI) & Trustworthy AI
As AI integration deepens, XAI and Trustworthy AI techniques will become critical for ensuring transparency, interpretability, and ethical deployment of AI models, especially in regulated industries and government.
AI TRiSM (Trust, Risk, and Security Management)
AI TRiSM frameworks will evolve to provide comprehensive tools and methodologies for managing AI model governance, reliability, fairness, privacy, and security throughout the entire AI lifecycle.
Impactful Policy Frameworks
Biden Administration Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (2023)
This executive order establishes new standards for AI safety and security, protects Americans' privacy, promotes equity and civil rights, stands up for consumers, patients, and workers, promotes innovation and competition, and advances American leadership around the world.
This policy will drive increased demand for AI integration solutions that prioritize security, privacy, and responsible AI development, directly benefiting AI Squared's focus on enterprise-grade compliance and secure deployments.
NIST AI Risk Management Framework (AI RMF 1.0) (2023)
Developed by the National Institute of Standards and Technology, the AI RMF provides a voluntary framework for organizations to manage the risks of artificial intelligence, focusing on trustworthy AI.
This framework offers a crucial blueprint for AI Squared's clients, necessitating that their AI integration platform aligns with best practices for risk management and trustworthy AI, thereby reinforcing AI Squared's existing security and governance features.
Department of Defense (DoD) Responsible AI Strategy and Implementation Pathway (2022)
This document outlines the DoD's approach to the responsible development and use of AI, emphasizing ethical principles and operationalization in defense contexts.
Given AI Squared's strong focus on GovTech and its NSA origins, this policy directly impacts their federal sector offerings, requiring their solutions to demonstrate clear adherence to the DoD's responsible AI principles, providing a competitive advantage for compliant offerings.
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