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What is Interactions Intelligent Virtual Assistant?

Engage with your customers effortlessly, catering to their preferences for communication. With the Interactions Intelligent Virtual Assistant, establishing effective communication and completing tasks with clients has become remarkably straightforward. By merging the latest advancements in Conversational AI with authentic human understanding, we are setting new benchmarks for exceptional customer interactions. This Intelligent Virtual Assistant allows your customers to converse through either speech or text, creating a personalized and natural communication experience that ensures a seamless journey from start to finish. An Intelligent Virtual Assistant, or IVA, enhances not only the efficiency of customer service but also its personalization, fostering conversations that resonate on a human level. The advanced features of Interactions IVAs, powered by Conversational AI, enable customers to communicate as they would in person, effectively reducing frustrations commonly associated with traditional automated systems. Even in the face of background noise, diverse accents, and weak connections, Interactions IVAs reliably comprehend customer input, leading to improved satisfaction and engagement. This forward-thinking strategy guarantees that every interaction is not only effective but also aligns closely with the individual needs and preferences of each customer, making them feel valued and understood. Ultimately, the Interactions Intelligent Virtual Assistant transforms customer service into a more engaging and human-centric experience.

What is Amazon Lex?

Amazon Lex is an influential platform aimed at developing conversational interfaces in applications, enabling both voice and text interactions. It employs cutting-edge deep learning technology, including automatic speech recognition (ASR) that converts spoken language into text and natural language understanding (NLU) that helps decipher user intent, facilitating the creation of dynamic user interactions that feel natural and engaging. By harnessing the same advanced technologies that power Amazon Alexa, Amazon Lex provides developers with the tools necessary to build intricate conversational bots, often referred to as chatbots. This platform is particularly beneficial in enhancing efficiency in contact centers, simplifying routine tasks, and increasing overall operational productivity within organizations. Moreover, being a fully managed service, Amazon Lex scales automatically according to usage demands, relieving developers of the burden of infrastructure management. As a result, teams can dedicate more time to innovative solutions rather than being bogged down by technical challenges, thus fostering a culture of creativity and improvement. Ultimately, this versatility makes Amazon Lex an essential tool for businesses looking to enhance customer engagement through conversational technology.

Media

Media

Integrations Supported

AWS AI Services
Amazon DynamoDB
Amazon Web Services (AWS)
BotCore
Elastic Path
Facebook
Facebook Messenger
HubSpot CRM
Marketo
Microsoft Dynamics 365
QuickBooks Online Advanced
Quickwork
Rapport
Slack
Smart IVR
Stackreaction
Twilio
UneeQ
XCALLY
Zendesk

Integrations Supported

AWS AI Services
Amazon DynamoDB
Amazon Web Services (AWS)
BotCore
Elastic Path
Facebook
Facebook Messenger
HubSpot CRM
Marketo
Microsoft Dynamics 365
QuickBooks Online Advanced
Quickwork
Rapport
Slack
Smart IVR
Stackreaction
Twilio
UneeQ
XCALLY
Zendesk

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

Interactions

Date Founded

2004

Company Location

United States

Company Website

www.interactions.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/lex/

Categories and Features

Chatbot

Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration

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

Customer Engagement

Analytics
Churn Management
Communication Management
Community Management
Content Syndication
Feedback Collection
Gamification
Live Chat
Video Content

IVR

Call Center
Call Logging
Call Recording
Call Routing
Multiple Scripts
Phone Key Input
Survey Management
Text to Speech
Voice Customization
Voice Mail

Categories and Features

Chatbot

Call to Action
Context and Coherence
Human Takeover
Inline Media / Videos
Machine Learning
Natural Language Processing
Payment Integration
Prediction
Ready-made Templates
Reporting / Analytics
Sentiment Analysis
Social Media Integration

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 Generation

Business Intelligence
CRM Data Analysis and Reports
Chatbot
Email Marketing
Financial Reporting
Multiple Language Support
SEO
Web Content

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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