According to DeepLearning.AI, Google Cloud's AI Dev 25 featured a hands-on workshop led by Paige Bailey focusing on multimodal AI. Traders and developers learned to utilize tools like Gemini 2.0, Veo 2, and Imagen 3 in AI Studio to enhance AI-driven video, image, and text processing capabilities. These advancements can be leveraged in algorithmic trading strategies, particularly in analyzing visual and textual data for market insights (DeepLearning.AI, 2025).

According to Paolo Ardoino, Tether Data has added language detection features to their AI SDK, which is optimized for lightweight devices like watches and smartphones. This enhancement could streamline real-time trading communications and improve the functionality of AI-driven trading apps by enabling language detection directly on mobile devices.

According to Andrew Ng, the rapid improvement in the Voice Stack, which involves systems that interact with users via speaking and listening, is expected to drive new applications, potentially influencing trading platforms by enhancing user interaction and data processing capabilities. This development is supported by collaborations with DeepLearning.AI and AI Fund. [source: Andrew Ng's Twitter]