10 top AI trends for 2024
1. Multimodal AI
Multimodal AI goes beyond traditional single-mode data processing to encompass multiple input types,
such as text, images and sound .
2. Agentic AI
Agentic AI marks a significant shift from reactive to proactive AI. AI agents are advanced systems that exhibit autonomy, proactivity and the ability to act independently.
3. Open source AI
Building large language models and other powerful generative AI systems is an expensive process that requires enormous amounts of compute and data. But using an open source model enables developers to build on top of others' work, reducing costs and expanding AI access.
4. Retrieval-augmented generation
Although generative AI tools were widely adopted in 2023, they continue to be plagued by the problem of hallucinations: plausible-sounding but incorrect responses to users' queries.
5. Customized enterprise generative AI models
Massive, general-purpose tools such as Midjourney and ChatGPT have attracted the most attention among consumers exploring generative AI.
6. Need for AI and machine learning talent
Designing, training and testing a machine learning model is no easy feat
7. Shadow AI
As employees across job functions become interested in generative AI, organizations are facing the issue of shadow AI: use of AI within an organization without explicit approval or oversight from the IT department.
8. A generative AI reality check
As organizations progress from the initial excitement surrounding generative AI to actual adoption and integration
9. Increased attention to AI ethics and security risks
The proliferation of deepfakes and sophisticated AI-generated content is raising alarms about the potential for misinformation
10. Evolving AI regulation
Unsurprising
