The State of
Conversational AI 2022
What is
Conversational AI?
A programmatic and intelligent way of
offering a conversational experience to
mimic conversations with real people, through
digital and telecommunication technologies.
Source: Deloitte: Digital Age Conversational AI
Evolution of Human Machine
Interaction
Types of Conversational Bots
Informational Bots help resolve context-specific customer or employee queries via voice, text, or visuals inputs.
Enterprise Productivity Bots help schedule meetings, report on performance metrics, or monitor inventory.
Transactional Bots transform your voice into a tool to place order, make payments, or send funds to friends.
Device Control Bots control virtual assistants and smart home devices like speakers, switches, and lights, and more.
Source: Accenture Experience Orchestration as a Service Survey
Conversational AI Market by Region
The Conversational AI market size is expected to grow
from AUD 6 billion in 2019 to AUD 22.6 billion by 2024,
at a CAGR of 30.2%, during 2019-2024.
Areas where Conversational Bots are implemented?
Key Use Cases
Office Automation
Personal assistants taking dictation, transcribing meetings, emailing notes, booking meeting rooms, etc.
Customer Support
Automate customer calls and enable outgoing call to customers.
Sales & Marketing
Provide real-time product information & dashboard support to on-field sales & marketing teams.
Hospitality
Concierge services at hotels to enable check-in or for other information and services.
Retail
In-store shopping support to help customers locate items and provide product details such as price and availability.
Mobile Apps
Reduce clicks and page visits in your mobile app and improve user experience with “Voice + Visuals” integration.
Why are Conversational Bots Failing to Deliver?
A lack of voice-centric training data
Poor conversational understanding
Data privacy and security
Lack of skilled resource
Deployment cost
Technical capability & infrastructure
How Shaip Helps
A World Leader in Conversational AI Training Data
25000+ Hours of audio data in 50+ language – Sourced, Transcribed & Annotated
Speech Data Sourcing
Collect text, image, audio and video data from across the world customized to meet your requirements.
Data Transcription
Cost-effective transcription solutions with guaranteed TAT, accuracy and savings.
Data Annotation
NER, diarization, object detection, segmentation, time stamping, tag insertion, sentiment/ annotation.
Your Challanges Resolved
Shaip sources training data in multiple languages and dialects while also handling accents, sarcasm, emojis and slang, that influences the communication between human & machines. We know that Better AI Data equals Better Results.
Languages, dialects, accents
Outdoor or noisy setting, multiple speakers
Tone, sarcasm
Unscripted questions, unplanned responses
