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Industry Landscape

The AI/ML platform industry is experiencing rapid growth, driven by the increasing adoption of AI across enterprises. There's a strong emphasis on specialized LLMs, cost-efficiency, and secure deployment options like VPC. Competition is intense, but innovation, especially in fine-tuning and inference, continues to accelerate, meeting demand for production-ready AI.

Industries:
AI InfrastructureLLM Fine-tuningMachine Learning OperationsGenerative AICloud Computing

Total Assets Under Management (AUM)

Artificial Intelligence Market Size in United States

~Approximately 200 billion USD

(37.3% CAGR)

- Driven by increasing AI adoption across industries.

- Significant investment in GenAI and MLOps platforms.

- Focus on cost-efficiency and specialized AI solutions.

Total Addressable Market

200 billion USD

Market Growth Stage

Low
Medium
High

Pace of Market Growth

Accelerating
Deaccelerating

Emerging Technologies

Multimodal AI

The integration of various data types (text, image, audio, video) into a single AI model for richer understanding and generation, enabling more versatile and human-like AI applications.

Edge AI for LLMs

Deploying optimized LLMs and inference capabilities directly on edge devices, reducing latency, improving privacy, and enabling real-time AI applications without constant cloud connectivity.

AI Agents and Orchestration

The development of autonomous AI systems capable of performing complex tasks, interacting with various tools, and coordinating with other agents to achieve specific goals, moving beyond single-prompt interactions.

Impactful Policy Frameworks

National Institute of Standards and Technology (NIST) AI Risk Management Framework (AI RMF 1.0, 2023)

NIST released a voluntary framework to help organizations manage risks associated with designing, developing, deploying, and using AI systems, focusing on trustworthiness, accountability, and transparency.

This framework encourages Predibase and its customers to adopt best practices for responsible AI development, potentially increasing demand for verifiable and explainable fine-tuning and deployment solutions.

Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence (2023)

President Biden issued an Executive Order establishing new standards for AI safety and security, protecting Americans' privacy, advancing equity and civil rights, and promoting innovation and competition.

Predibase must ensure its platform and services align with these safety and security standards, potentially leading to increased demand for its secure VPC deployment options and data privacy features.

American Data Privacy and Protection Act (ADPPA - Proposed Legislation)

While not yet law, the ADPPA is a comprehensive bipartisan bill proposed in the U.S. House of Representatives that aims to establish a national standard for data privacy and security, preempting state laws.

If passed, this act would necessitate that Predibase and its clients adhere to stringent data handling and privacy regulations, further emphasizing the value of their secure and compliant VPC deployment solutions.

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