The top 10 trends in artificial intelligence for 2024 are:
- Multimodal AI: This involves processing multiple types of data inputs such as text, images, and sound, advancing towards mimicking human sensory information processing.
- Agentic AI: A shift from reactive to proactive AI, with AI agents displaying autonomy and the ability to act independently.
- Open Source AI: The use of publicly available AI, allowing for broader access and collaboration, but also raising concerns about misuse and maintenance challenges.
- Retrieval-Augmented Generation: Combining text generation with information retrieval to enhance accuracy and reduce hallucinations in AI-generated content.
- Customized Enterprise Generative AI Models: Development of smaller, specialized AI models for specific business use cases, focusing on privacy and security.
- Need for AI and Machine Learning Talent: Growing demand for professionals skilled in AI programming, data analysis, and machine learning operations.
- Shadow AI: The unsanctioned use of AI within organizations, raising concerns about security, data privacy, and compliance.
- A Generative AI Reality Check: Organizations recognizing the limitations of generative AI and the complexity of implementing it at scale.
- Increased Attention to AI Ethics and Security Risks: Focus on ensuring AI systems are transparent, fair, and ethical, amidst concerns about deepfakes and AI-generated content.
- Evolving AI Regulation: Rapidly changing laws and policies, particularly in the EU and U.S., focusing on compliance and ethical use of AI.