Organisations have an constantly growing customer demands for personalized, high-quality service while satisfying regulatory obligations. In this session, learn how Amazon Connect, a self-service, cloud-based contact center, can integrate with machine learning services on AWS such as Amazon Transcribe, Amazon Comprehend, and Amazon Lex to enable organisations to deliver transformational omni-channel experiences to their customers. Learn how to make contact center content available for search and analysis by natural language processing tools, which can yield valuable insights into customer sentiment, customer preferences, and the most common issues customers raise during service interactions.
3. Customer expectations are rising
“Our research shows the
genuine cost of leaving
customers hanging on the
telephone, with 25% switching
provider because they’ve been
kept on hold and 32% switching
because they’re tired of talking
to multiple agents.”
-- TTi Global 2018 Customer
Satisfaction Benchmark Report
-- Deloitte 2017 global contact center survey
4. Amazon Lex
Text and speech language understanding: powered by the same technology as
Alexa
Enterprise ready: scalable, versioning, and alias support
Build once and integrate with multiple platforms
Designed for builders: efficient and intuitive tools to build conversations; scales
automatically
Continuous learning: monitor and improve your bot
7. Amazon Connect
Real time and
historical analytics
Skills-based routing
[Automatic Call Distribution (ACD)]
High-quality
voice capability
Easy to use, cloud-based contact center solution
that scales to support businesses of any size,
with tools that grow with your needs
Call
recording
17. Amazon Transcribe
Support for
telephony audio
Timestamp
generation
Intelligent punctuation
and formatting
Recognize multiple
speakers
Custom
vocabulary
Multiple
languages
Automatic conversion of speech into accurate, grammatically correct text