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Industry Landscape
The Cloud, Data, and AI industry is experiencing rapid growth, driven by digital transformation initiatives, increasing data volumes, and the pervasive adoption of AI/ML technologies, especially Generative AI. Enterprises are heavily investing in modernizing infrastructure, enhancing analytics capabilities, and leveraging AI for competitive advantage, cost optimization, and innovation. The market is dynamic, with strong demand for integrated solutions and specialized expertise in cloud platforms and data management.
Total Assets Under Management (AUM)
Cloud Computing Market Size in United States
~Approximately 210 billion USD
(15-20% CAGR)
- Cloud spending continues to grow rapidly.
- Focus on hybrid and multi-cloud strategies.
- SaaS, PaaS, IaaS segments all contributing.
Total Addressable Market
Approximately 600 billion
Market Growth Stage
Pace of Market Growth
Emerging Technologies
Generative AI at the Edge
Deploying generative AI models closer to data sources (e.g., IoT devices, local servers) to enable real-time processing, reduce latency, and enhance data privacy for immediate insights and actions.
Confidential Computing
A cloud security technology that protects data in use by performing computation in a hardware-based trusted execution environment, safeguarding sensitive information from unauthorized access even from cloud providers.
Data Fabric Architectures
An intelligent, unified, and automated data integration and management platform that spans across various environments (cloud, on-premise) to deliver seamless access and sharing of data assets.
Impactful Policy Frameworks
NIST AI Risk Management Framework (AI RMF 1.0, 2023)
The National Institute of Standards and Technology (NIST) released the AI RMF 1.0, a voluntary framework designed to help organizations manage the risks associated with Artificial Intelligence, promoting trustworthy and responsible AI development and deployment.
This framework impacts businesses by establishing best practices for AI governance, requiring SquareShift and its clients to integrate risk management strategies into their AI/ML solution development and deployment processes to ensure compliance and build trust.
California Privacy Rights Act (CPRA, 2023)
Building upon the CCPA, the CPRA grants California consumers more control over their personal information, establishing the California Privacy Protection Agency (CPPA) to enforce privacy regulations, and expanding data rights including correction and limiting sensitive data use.
The CPRA impacts businesses by increasing the scope and enforcement of data privacy regulations, compelling SquareShift to enhance its data engineering and management services to ensure client compliance with stricter data handling, consent, and deletion requirements.
Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (2023)
This U.S. Executive Order directs federal agencies to set new standards for AI safety and security, protect privacy, promote equity, protect consumers, and support American workers and competition, signaling a comprehensive national approach to AI regulation.
This Executive Order significantly impacts the industry by pushing for robust AI safety, security, and ethical considerations, requiring SquareShift to integrate these principles deeply into their AI development lifecycle, impacting how they build and deploy AI solutions for clients.
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