Gartner has identified the top 10 strategic technology trends for 2024 and generative and other types of AI solutions take center stage with widespread adoption and risks that are primary focus areas.
1. Democratized Generative AI
Generative AI (aka, GenAI) is becoming democratized by the confluence of massively pre-trained models, cloud computing, and open source — making these models accessible to workers worldwide. By 2026, Gartner predicts, over 80% of enterprises will have used GenAI APIs and models and/or deployed GenAI-enabled applications in production environments, up from less than 5% in early 2023.
2. AI Trust, Risk, and Security Management
The democratization of access to AI has made the need for AI Trust, Risk and Security Management (TRiSM) more clear and urgent. Without guardrails, AI models can rapidly generate compounding negative effects that spin out of control, overshadowing any positive performance and societal gains that AI enables. AI TRiSM provides tooling for ModelOps, proactive data protection, AI-specific security, model monitoring (including monitoring for data drift, model drift, and/or unintended outcomes), and risk controls for inputs and outputs to third-party models and applications. Gartner predicts that by 2026, enterprises that apply AI TRiSM controls will increase the accuracy of their decision-making by eliminating up to 80% of faulty and illegitimate information.