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Average Ratings 0 Ratings
Description
Amazon Q Business is an advanced, fully-managed assistant powered by generative AI, aimed at assisting employees in locating information, gaining insights, and taking actionable steps within their workplace. This innovative tool allows users to communicate in natural language to seek data, produce content, or develop simple applications that streamline workflows. It offers a cohesive search functionality that spans various systems and data sources, ensuring swift, precise, and pertinent answers to intricate inquiries derived from documents, images, audio, video files, and additional application data, complete with citations and references to maintain transparency. Employees can utilize Amazon Q Business through its web-based conversational interface compatible with browsers such as Microsoft Edge, Google Chrome, and Mozilla Firefox, in addition to applications like Slack, Microsoft Outlook, Word for Microsoft 365, and Microsoft Teams. Furthermore, with the capabilities of Amazon Q Apps, users can efficiently automate tasks, content generation, and workflows by articulating their needs in their own language, enhancing productivity and efficiency at work. This seamless integration of technology empowers teams to focus on more strategic initiatives while reducing the time spent on routine tasks.
Description
Dipa is an advanced conversational AI platform that utilizes Intelligence Process Automation (IPA) software, offering a range of conversational features and personal microservices designed for both employees, through a Virtual Private Assistant (VPA), and customers, via a Virtual Customer Assistant (VCA). It is particularly beneficial for employees transitioning to remote work, enhancing their comfort and satisfaction. By streamlining tasks, Dipa can reduce the time employees spend navigating IT systems by up to 80%, which in turn leads to a notable decrease in IT support costs, salaries, and training expenses. The platform boosts overall business efficiency and effectiveness while accelerating various business processes. Through interactive dialogues, Dipa assists users with their daily tasks, answers queries regarding business operations, supplies necessary information, and facilitates interactions within IT systems. Additionally, Dipa's integration with IT Service Management (ITSM) systems allows it to autonomously resolve straightforward IT incidents around the clock, ensuring continuous support for users. Ultimately, Dipa not only enhances productivity but also fosters a more engaged and informed workforce.
API Access
Has API
API Access
Has API
Integrations
Slack
Amazon Aurora
Amazon FSx
Amazon Q Developer
Amazon QuickSight
Go
Google Drive
IBM Db2
Java
Jira
Integrations
Slack
Amazon Aurora
Amazon FSx
Amazon Q Developer
Amazon QuickSight
Go
Google Drive
IBM Db2
Java
Jira
Pricing Details
$20 per month
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
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/q/business/
Vendor Details
Company Name
Dipa
Country
Russia
Website
dipa.tech/eng.html
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
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