Google Finance is taking a significant step towards enhancing user experience by introducing Gemini Deep Research, powered by prediction market data, to its platform. According to a recent article by Ars Technica, the integration of Deep Research and predictions sourced from Kalshi and Polymarket data aims to provide users with more advanced AI-powered capabilities within the platform.
The latest update follows Google’s previous introduction of a Gemini-based chatbot in Google Finance. With the addition of Gemini Deep Research, users will now have the ability to pose complex queries and even inquire about future predictions supported by data from betting markets.
Google’s rollout of this feature is expected to occur gradually over the coming weeks. Users will have access to a Deep Research option within the Finance chatbot, enabling them to generate detailed and ‘fully cited’ research reports on specific topics within minutes. This functionality mirrors the experience offered by Deep Research in the Gemini app, allowing users to input prompts and retrieve results at a later time.
While simpler queries may not necessitate Deep Research, Google recommends leveraging this feature for more intricate topics. The company has also outlined varying limits for Deep Research reports based on subscription tiers, with AI Pro and AI Ultra subscribers enjoying higher report allowances.
Overall, the addition of Gemini Deep Research to Google Finance signifies a strategic move by the company to empower users with comprehensive research capabilities and real-time prediction insights.
Source: Ars Technica