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Summarized Daily Snapshots

Google's Visual Snapshot Helps to Plan Every Aspect of One's Day

— July 19, 2018 — Tech
Google Assitant can plan and plot out a user's entire day but its new visual snapshot feature lets users summarize an entire day. This visual planner helps keep track of daily agendas, reminders and to-do lists, but also keeps track of commutes and everything in-between. These packages provide a concise and easy-to-read insight into a person's day and can even adapt and change based on time of day, location and various other factors.

Unlike agenda and calendar features already present in Google Assistant, this visual snapshot feature includes information about upcoming flights, restaurant times, movie reservations and much more. The visual snapshot feature also includes invitations to explore news, weather, games and local businesses.


Image Credit: Google
Trend Themes
1. Visual Planner - Disruptive innovation opportunity: Develop a visual planning tool that integrates with calendars and provides concise insights and customizable features for users.
2. Personalized Agendas - Disruptive innovation opportunity: Create an AI assistant that can generate personalized daily agendas based on a user's preferences, location, and time commitments.
3. Integrated Information - Disruptive innovation opportunity: Build a platform that seamlessly integrates various sources of information (such as flights, restaurant times, news) into one comprehensive visual snapshot.
Industry Implications
1. Productivity Tools - Disruptive innovation opportunity: Develop productivity tools that incorporate visual planning features to help individuals and teams effectively manage their day-to-day tasks.
2. Personal Assistants - Disruptive innovation opportunity: Enhance personal assistant technologies by integrating visual snapshot features that provide users with customizable and comprehensive insights for better planning and organization.
3. AI and Machine Learning - Disruptive innovation opportunity: Harness the power of AI and machine learning to build advanced algorithms that can analyze user preferences and behavior to generate personalized visual snapshots for improved decision-making and time management.
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