Storm AI Introduction
StormAI is an Augmented Intelligence co-collaborator that enhances digital whiteboard collaboration by automatically generating custom templates, providing contextual idea suggestions, and organizing content intelligently.
View MoreWhat is Storm AI
Launched in May 2023 by Stormboard, StormAI is the industry's first AI-powered collaboration assistant integrated into a digital whiteboard platform. It acts as an intelligent co-collaborator that helps teams brainstorm, plan, and solve problems more effectively. Unlike traditional AI tools, StormAI is built on Stormboard's unique data-first architecture, making it context-aware and able to understand the full scope of workspace content rather than just individual elements.
How does Storm AI work?
StormAI operates by analyzing three key elements: the stated workspace goal, existing content, and section titles/subtitles to generate relevant suggestions and organize information. It uses Microsoft Azure OpenAI Service to power its core features, which include automated template creation based on desired outcomes, contextual idea generation for different sections, and intelligent content organization capabilities like grouping ideas by theme or sentiment. The system maintains context awareness by examining the relationships between different workspace elements rather than treating them in isolation. Users can interact with StormAI through natural language prompts to create templates, expand on ideas, or generate new suggestions when needed.
Benefits of Storm AI
The key benefits of StormAI include significant time savings in meeting preparation and brainstorming sessions by automatically generating relevant templates and initial ideas. It helps overcome creative blocks by providing diverse perspectives and suggestions, while its context-aware capabilities ensure all recommendations remain relevant to the specific workspace goals. Teams can make faster, more informed decisions with AI-powered insights while maintaining data security since StormAI doesn't use workspace data to train its models. The system also helps streamline collaboration by automatically organizing and summarizing content, making it easier for teams to identify patterns and extract meaningful insights from their discussions.
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