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Industry Landscape

The AI-powered knowledge management industry is experiencing rapid growth, driven by the increasing need for efficient information retrieval and internal communication. Generative AI is transforming capabilities, offering automated content creation and intelligent search. Companies are investing in these solutions to combat information silos, boost productivity, and improve decision-making. The market is dynamic, with new innovations and strategic partnerships, such as Dashworks joining HubSpot, shaping its evolution.

Industries:
AIKnowledge ManagementEnterprise SearchProductivity SoftwareGenerative AI

Total Assets Under Management (AUM)

Global Artificial Intelligence Market Size in United States

~300.7 billion USD (2024 est. for Global AI Market)

(36.8% CAGR (2024-2030) CAGR)

Growth is driven by increasing adoption across various industries.

Demand for AI-powered solutions to enhance operational efficiency.

Advancements in machine learning and natural language processing.

Total Addressable Market

100 billion USD

Market Growth Stage

Low
Medium
High

Pace of Market Growth

Accelerating
Deaccelerating

Emerging Technologies

Advanced Retrieval-Augmented Generation (RAG)

Next-generation RAG models will enhance AI's ability to precisely retrieve and synthesize information from vast enterprise data sources, significantly improving the accuracy and relevance of AI-generated answers and content.

Multimodal AI

Integration of multimodal AI will allow knowledge management systems to process and understand information from diverse formats including text, images, video, and audio, enabling more comprehensive and intuitive search capabilities.

AI Agents and Workflow Automation

Autonomous AI agents will not only answer questions but also proactively execute complex multi-step tasks and automate workflows within enterprise systems, moving beyond simple information retrieval to active problem-solving.

Impactful Policy Frameworks

NIST AI Risk Management Framework (2023)

The National Institute of Standards and Technology (NIST) published its AI Risk Management Framework (AI RMF 1.0) in 2023, providing voluntary guidance for organizations to manage risks associated with AI systems, focusing on trustworthiness, accountability, and transparency.

This framework encourages AI companies like Dashworks to adopt best practices for responsible AI development, potentially increasing compliance costs but also enhancing user trust and competitive advantage.

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

President Biden's comprehensive Executive Order (October 2023) mandates new standards for AI safety and security, promotes innovation, protects privacy, and addresses bias and discrimination, impacting all AI developers and users in the US.

Dashworks must ensure its AI models and data handling practices align with new federal safety, security, and privacy standards, potentially requiring adjustments to development and deployment processes to maintain compliance.

California Privacy Rights Act (CPRA) (Effective 2023)

Building on the CCPA, the CPRA, fully effective in 2023, strengthens consumer data privacy rights in California, including the right to correct personal information and limit the use of sensitive personal information, and established the California Privacy Protection Agency (CPPA).

Dashworks, as a handler of potentially sensitive internal company data, must ensure its data processing and storage adhere to stricter privacy regulations and provide enhanced data subject rights to Californian users.

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