Find stats on top websites
Industry Landscape
The AI and Data Science industry is experiencing rapid growth, driven by advancements in Generative AI, MLOps, and specialized applications across various sectors. Ethical AI and responsible development are gaining significant focus. The market is highly competitive with strong demand for skilled professionals and innovative solutions, particularly in enterprise adoption.
Total Assets Under Management (AUM)
Global Artificial Intelligence Market Size in United States
~Approximately $200 billion (2023 estimate for the US AI market)
(37.3% CAGR)
This growth is fueled by increasing enterprise adoption of AI, significant investment in R&D, and the widespread application of AI across diverse industries like healthcare, finance, and automotive.
Total Addressable Market
1.85 trillion USD
Market Growth Stage
Pace of Market Growth
Emerging Technologies
Generative AI
The rapid advancement of Generative AI, including large language models (LLMs) and diffusion models, is transforming content creation, data synthesis, and complex problem-solving across industries.
MLOps and AI Platforms
The maturation of MLOps tools and integrated AI platforms is streamlining the deployment, management, and scaling of AI models from development to production, enabling greater enterprise adoption.
Ethical AI & Explainable AI (XAI)
Increasing focus on ethical AI principles, bias detection, and Explainable AI (XAI) techniques is driving the development of transparent, fair, and accountable AI systems.
Impactful Policy Frameworks
Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (2023)
This comprehensive US Executive Order mandates a wide range of actions across federal agencies to ensure the safe, secure, and responsible development and use of AI, covering areas like safety, security, privacy, equity, and competition.
This policy will drive increased demand for discussions and education on AI safety, security, and ethical deployment within enterprises, directly aligning with DSS's mission.
National Institute of Standards and Technology (NIST) AI Risk Management Framework (AI RMF 1.0, 2023)
NIST released a voluntary framework to help organizations better manage the risks of AI, promoting trustworthy AI system development and deployment.
The NIST AI RMF will influence content creation and discussions at DSS events, focusing on practical risk management strategies for AI implementation, especially in regulated industries.
AI Bill of Rights Blueprint (2022)
While not legally binding, this blueprint outlines five principles for the design, use, and deployment of automated systems to protect the American public in the age of artificial intelligence.
This blueprint will further emphasize the importance of ethical AI, fairness, and transparency in AI discussions and solutions showcased at DSS, resonating with their diversity and inclusion focus.
Transform Your Ideas into Action in Minutes with WaxWing
Sign up now and unleash the power of AI for your business growth
