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"At Active.ai our mission is to provide
seamless conversational experiences to
our customers on digital platforms. AWS
has allowed us to focus on providing
wonderful experiences, that are secure,
seamless, and scalable."
Parikshit Paspulati, Co-Founder & CTO, Active AI
Solutions used:
AWS AI services to construct automated conversations
Amazon EC2 Spot Instances
Results:
Reduced training costs by 50%
Automated conversations with banking customers
Helps banks make as many as one million interactions
per month
Enables secure, seamless, and scalable
customer experiences
Improves customer engagement
Enables safe, secure transactions on unstructured data
Active.AI automates customer conversations
with banks using AI through voice, bots, or
messaging platforms.
7. Improve customer self-service
experience with conversational AI
The demand for self-service conversational interfaces continues to grow as more and
more users prefer to interact with businesses on digital channels. For startups, achieving
cost-efficiency where possible is key—developing voice and text conversational interfaces
can reduce operational costs, as well as increase user satisfaction and streamline business
processes. Add human-like conversation capabilities to your startup's business applications
using conversational AI (CAI) interfaces. CAI is created by combining different natural
language technologies like NLP, natural language understanding (NLU), and natural
language generation (NLG).
CAI interfaces are used broadly across a wide variety of industry segments and use
cases, including customer service, financial services, healthcare, insurance, travel, retail,
automotive, and more. The common use cases for CAI include building virtual agents
and voice assistants, automating informational responses and data capture, boosting
agent productivity in contact centers, automating customer service, and performing
transactional operations.
AWS conversational AI solutions primarily leverage Amazon Lex, which is complemented
by additional AI and ML services including Amazon Kendra, Amazon Comprehend,
Amazon Translate, Amazon Polly, and Amazon SageMaker. Amazon Transcribe combined
with Amazon Lex provides the advanced deep learning functionalities of automatic speech
recognition (ASR), and NLU to enable customers to build applications with highly engaging
user experiences and lifelike conversational interactions using voice and text. With Amazon
Lex, the same deep learning technologies that power Amazon Alexa are now available to
any customer, enabling them to build sophisticated natural language conversational bots
quickly and easily.
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