DIGINTEL Advanced Analytics

DIGINTEL™ Advanced Analytics and cognitive technology supports analysis and visualization of structured data with a natural language interface. Its interactive, mobile-compatible dashboard allows users to ask questions about their data in natural language. This allows anyone to independently discover patterns or insights hidden in their data to inform better decisions. For example, this platform can provide easy access to information that can support customized sales presentations or help financial advisors select appropriate investments for their clients.

 

Visual Recognition

Machine Translation

Concept
Expansion

 

Question Answer

Uses natural language processing to understand user questions and provide ranked answers supported by evidence and confidence levels. Example: Helps call center representatives find quick answers to customer questions to improve customer satisfaction.

Language Identification

Identifies the language in which text is written. Example: Determines a travel app user’s language to provide quick recommendations.

Visual Recognition 

Analyzes the visual content of images and video frames to understand the content directly without the need for a textual description. Example: Could be used to organize and ingest large collections of digital images or understand consumer shopping preferences based on image queries.

 

User Modeling

Uses linguistic analytics to construct a personality profile of an individual by analyzing his or her social media activities and other online text. Example: Helps marketers target offers by analyzing the  customer’s online activity to understand shopping behaviors.

Visualization Rendering

Allows users to easily generate customized charts and graphs from their data. Example: Users can quickly transform answers to a business question into an intuitive dashboard or visual report in seconds.

Tradeoff Analytics

Helps users make better choices to best meet multiple conflicting objectives, by finding optimal alternatives across multiple criteria. Example: Could be used to help customers make buying decisions by analyzing the pros and cons of products based.

 

Message Resonance

Analyzes message content and scores how it is likely to be received by a target audience. Also suggests words that are highly likely to receive a desired response. Example: Enables organizations to mitigate negative press during a crisis or engage consumers during a new product launch.

Concept Expansion

Maps euphemisms or colloquial terms to more commonly understood phrases. Example: Interprets phrases so that they can be analyzed; “The Big Apple” would be interpreted as “New York City.”

Personality Insights 

Enables deeper understanding of people’s personality characteristics, needs, and values to help engage users on their own terms. Example: Can analyze text from a customer’s twitter stream to help a travel agency decide between leading with a budget or luxury trip offer.

 

Machine Translation

Translates text between languages: English, Spanish, Brazilian Portuguese, French, and Arabic. Example: Customer service representatives for global companies can quickly search a database for answers that are translated into their native language. 

Concept Insights

Explores information based on the concepts behind your input, rather than limiting investigation to findings based on traditional keyword searches. Example: Can be used to improve search queries with results that are more conceptually related.

Additional API’s

DIGINTEL continues to evaluate the latest innovation in cognitive technology, including but not limited to: semantic expansion, dialogue, sentiment extraction, sentiment analysis, industry accelerators, question generation.

 

Relationship Extraction

Analyzes text to find relationships between sentence components (nouns, verbs, subjects, etc.) Example: Provides related information, such as the city’s best restaurants, when a user asks “What can I do tonight in London?”

Text to Speech 

Understands natural language to generate synthesized audio output with appropriate cadence and intonations, currently in English and Spanish. Example: Assists vision impaired people or enable audio reading of texts and emails to drivers.

Speech to Text 

Transcribes the human voice into written word, currently in English only. Example: Enables voice control over apps and devices.

 

DIGINTEL Advanced Analytics – Explore – Discover – Predict