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What is Seek?

Business users can easily ask the same questions they usually pose to the data team through platforms like Slack, Teams, and email without having to modify their language or learn a new interface. This fluid interaction guarantees that all queries are stored in a thorough knowledge base, which reduces the likelihood of repetitive questions; in addition, as Seek is used more often, it improves its capability to handle your data. Seek also comes with a code editor, a knowledge repository, and integrations for data warehouses while placing a strong emphasis on data security by meeting SOC2 Type I compliance and offering customizable permissions for users and groups. Consequently, businesses can efficiently manage their data inquiries with assurance, knowing their information remains both readily available and secure. This streamlined process not only saves time but also enhances collaboration across teams.

What is LUIS?

Language Understanding (LUIS) is a sophisticated machine learning service that facilitates the integration of natural language processing capabilities into various applications, bots, and IoT devices. It provides a fast track for creating customized models that evolve over time, allowing developers to seamlessly incorporate natural language features into their projects. LUIS is particularly adept at identifying critical information within conversations by interpreting user intentions (intents) and extracting relevant details from statements (entities), thereby contributing to a comprehensive language understanding framework. In conjunction with the Azure Bot Service, it streamlines the creation of effective bots, making the development process more efficient. With a wealth of developer resources and customizable existing applications, along with entity dictionaries that include categories like Calendar, Music, and Devices, users can quickly design and deploy innovative solutions. These dictionaries benefit from a vast pool of online knowledge, containing billions of entries that assist in accurately extracting pivotal insights from user interactions. The service continuously evolves through active learning, ensuring that the quality of its models improves consistently, thereby solidifying LUIS as an essential asset for contemporary application development. This capability not only empowers developers to craft engaging and responsive user experiences but also significantly enhances overall user satisfaction and interaction quality.

Media

Media

Integrations Supported

Azure CLU
BotCore
Dydu
Geomant
Geomant Wallboard
Ideta
Microsoft Entra ID
Microsoft Teams
Neo Enterprise Assistant Platform
QnA Maker
Quickwork
Slack
Take Blip

Integrations Supported

Azure CLU
BotCore
Dydu
Geomant
Geomant Wallboard
Ideta
Microsoft Entra ID
Microsoft Teams
Neo Enterprise Assistant Platform
QnA Maker
Quickwork
Slack
Take Blip

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Seek AI

Company Location

United States

Company Website

www.seek.ai/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

www.luis.ai/

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

Qualitative Data Analysis

Annotations
Collaboration
Data Visualization
Media Analytics
Mixed Methods Research
Multi-Language
Qualitative Comparative Analysis
Quantitative Content Analysis
Sentiment Analysis
Statistical Analysis
Text Analytics
User Research Analysis

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Natural Language Processing

Co-Reference Resolution
In-Database Text Analytics
Named Entity Recognition
Natural Language Generation (NLG)
Open Source Integrations
Parsing
Part-of-Speech Tagging
Sentence Segmentation
Stemming/Lemmatization
Tokenization

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