Google Cloud predicts that 2025 will be the year enterprises scale up their AI usage, with multimodal AI supporting complex tasks, AI agents embedded across the enterprise, and internal search engines unlocking critical business insights.
According to a new trends report from Google Cloud, 2024 was an experimental year for AI adoption, but 2025 is expected to see significant growth. The company identified these trends by analyzing data from a previous research study, examining fastest-growing AI topics on Google Trends, and incorporating third-party research and insights.
Google has identified six types of AI agents, each designed to support specific business functions: customer agents, employee agents, creative agents, data agents, code agents, and security agents. However, having multiple agents working across various systems can create chaos, leading to the need for a single “canvas” for managing and enabling these agents.
Multimodal AI is also expected to play a significant role in 2025, with its capabilities allowing models to decipher and process a range of data sources, including text, images, video, and audio. This technology will support complex data analysis and lead to greater grounding and more personalized insights for enterprises.
To unlock the full potential of AI search, Google Cloud predicts that internal search engines will become more intuitive, allowing employees to access internal data using images, audio, video, and conversational prompts. AI agents will also play a key role in this process, enabling businesses to quickly move across different systems and apply agents to take action on insights.
As enterprises continue to adopt AI, Google Cloud’s predictions suggest that 2025 will be a transformative year for the technology. With multimodal AI, AI agents, and internal search engines, companies can unlock new levels of efficiency, productivity, and innovation.
Source: https://venturebeat.com/ai/google-ai-agents-multimodal-ai-enterprise-search-will-dominate-in-2025