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Brand Attributes
Robyn Hammond edited this page Apr 7, 2015
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- Understands natural language.
- Understands context and situation.
- Understands gesture.
- Can anticipate — where I’m going and what I’m trying to do.
- Can infer — understands not only what I say but what I mean.
- Can respond to a question.
- Engages in dialogue. Asks questions.
- Proactively engages me and anticipates my needs.
- Engages me in the way I want to be engaged — where, how, when (e.g. mobile).
- Engages me at my own level.
- Is multi-modal — visual, written, audio.
- Knows when it needs data and asks for it.
- Learns autonomously and learns via a guide.
- Applies crowd-sourced knowledge.
- Is personalized.
- Gains knowledge and value over time.
- Is discerning — can identify good and bad data.
- Has the capability for system discovery, as well as human-aided discovery.
- Discovers content in context, patterns and insights.
- Builds new knowledge from existing information and retrieves new sources of information and expertise.
- Applies big data search and exploration.
- Teaches me how to learn and make better decisions.
- Provides evidence-based, confidence weighted, unbiased and fully transparent outcomes.
- Applies current, relevant information, expertise and data.
- Changes its level of confidence as it receives new information.
- Provides data security and privacy.
- Has tunable thresholds of accuracy.
- Uses all data in motion, including temporal and spatial.
- Uses all analytics types.
- Is not constrained by data structure or volume.
- Provides a virtual view of data, regardless of physical location or origin (data and insight federation, replication, synchronization and virtualization).
- Is not contained by cost of storing or accessing data.
- Is always current and situation aware.
- Handles data in motion
- Is always on and never fatigues.
- Can sense and respond.