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Industry Landscape
The AI, ML, and Data Science industry is experiencing rapid growth, driven by advancements in generative AI and the increasing adoption across diverse sectors. It's characterized by continuous innovation, a strong demand for skilled professionals, and a focus on practical applications for business value and operational efficiency. Ethical considerations and regulatory frameworks are also emerging as key areas of focus.
Total Assets Under Management (AUM)
Artificial Intelligence Market Size in United States
~Approximately 125.8 billion USD in 2023
(37.3% CAGR)
Growth is fueled by rising AI adoption across industries.
Increased investment in AI research and development.
Demand for AI-powered solutions for automation and efficiency.
Total Addressable Market
Approximately 125.8 billion
Market Growth Stage
Pace of Market Growth
Emerging Technologies
Generative AI
Advanced AI models capable of creating new content, such as text, images, and code, driving innovation in product development and content creation.
MLOps and LLMOps
Practices and tools for streamlining the deployment, monitoring, and management of machine learning and large language models in production environments, ensuring scalability and reliability.
Explainable AI (XAI)
Techniques and methodologies that enable humans to understand, interpret, and trust the predictions and decisions made by AI models, crucial for regulatory compliance and ethical AI.
Impactful Policy Frameworks
AI Bill of Rights (2022)
The Blueprint for an AI Bill of Rights provides five principles to guide the design, use, and deployment of automated systems to protect the rights of the American public.
This policy encourages the development of ethical and responsible AI, directly influencing the content and focus of AI/ML conferences towards trustworthiness and user rights.
NIST AI Risk Management Framework (AI RMF 1.0) (2023)
Developed by the National Institute of Standards and Technology (NIST), this voluntary framework helps organizations manage risks associated with AI, promoting trustworthy AI system development.
The framework provides a common language and guidance for mitigating AI risks, influencing discussions on MLOps, governance, and responsible AI deployment at industry events.
Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (2023)
This executive order directs extensive actions across government to ensure the safe, secure, and trustworthy development and use of AI, covering safety standards, privacy, and equity.
This comprehensive order will drive significant changes in AI research, development, and deployment practices, making regulatory compliance a critical topic for professionals and conferences.
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