To Nha Notes | Jan. 11, 2024, 9:13 p.m.
Four key rising trends are identified:
Intelligent Data Platform: The authors propose evolving data platforms into intelligent data platforms, integrating large language model (LLM) infrastructure into the core data platform. This infusion of intelligence supports AI-driven data operations, semantic search, discovery agents, AI-aided ingestion tools, data preparation, transformation, and conversational AI agents for data analysis. The goal is to accelerate the adoption of AI data products and applications throughout enterprises.
AI Agents: The rising trend of AI agents focuses on task automation through autonomous agents and task assistants serving various information roles. These agents can automate activities either partially or entirely, contributing to the development of autonomous AI systems.
Personalized AI Stack: This trend highlights the importance of tailoring AI solutions to individual needs, creating a personalized AI stack. The customization is expected to enhance user experience and optimize the performance of AI applications based on specific requirements.
AI Governance: Governance becomes a critical aspect as AI continues to advance. The authors emphasize the need for effective governance structures to manage the ethical, legal, and operational aspects of AI development and deployment.