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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Azure AI Content Understanding empowers organizations to convert unstructured multimodal data into actionable insights. By extracting valuable information from various input formats including text, audio, images, and video, businesses can unlock essential insights. Employing advanced AI techniques like schema extraction and grounding, it ensures the generation of accurate, high-quality data suitable for further applications. This technology simplifies the integration of diverse data types into a cohesive workflow, resulting in reduced costs and an expedited path to value realization. For instance, businesses and call center operators can leverage insights from call recordings to monitor crucial KPIs, improve product experiences, and respond to customer inquiries more efficiently and accurately. Furthermore, by ingesting a wide array of data types such as documents, images, audio, or video, organizations can utilize various AI models offered in Azure AI to convert raw input into structured outputs that facilitate easier processing and analysis in subsequent applications. Such capabilities ultimately enhance decision-making processes across various sectors.

Description

Industry experts indicate that unstructured data stands as the most significant source of untapped and undervalued customer information, and its growth is accelerating in today's customer-focused landscape. In an age characterized by Big Data, where corporate data doubles approximately every three months, effectively leveraging this information has become essential for maintaining a competitive edge and ensuring business longevity. EpiAnalytics offers Artificial Intelligence (AI) solutions tailored to meet your business requirements, enabling you to extract greater value from the data you already possess, no matter where it is stored. Our solutions aim to boost sales, enhance data quality, guarantee compliance, and improve operational efficiencies. By integrating our legacy VINoptions product with its AI and VIN data engineering capabilities and our extensive ChromeData vehicle data catalog that spans 30 years, we have developed an advanced VIN decoding solution. Additionally, ChromeData VIN Descriptions have become the industry benchmark for accurately identifying and detailing vehicles based on their VIN. This innovative approach not only streamlines processes but also empowers businesses to make data-driven decisions with confidence.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure AI Content Safety
Azure AI Foundry
Azure AI Services
Microsoft Azure
Microsoft Intelligent Data Platform

Integrations

Azure AI Content Safety
Azure AI Foundry
Azure AI Services
Microsoft Azure
Microsoft Intelligent Data Platform

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/products/ai-services/ai-content-understanding

Vendor Details

Company Name

J.D. Power

Founded

1968

Country

United States

Website

www.jdpower.com/business/epianalytics

Product Features

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

Product Features

Conversational AI

Code-free Development
Contextual Guidance
For Developers
Intent Recognition
Multi-Languages
Omni-Channel
On-Screen Chats
Pre-configured Bot
Reusable Components
Sentiment Analysis
Speech Recognition
Speech Synthesis
Virtual Assistant

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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