The power of Data via
Artificial Intelligence and Machine Learning
Creating an AI enabled smart Call Centre, using Amazon CONNECT.
Optisol Central Intelligence makes it simple and economical to add an automated Call Centre to your small or medium sized business. This call centre is fully integrated to our ChatBot and AI/ML functionality to provide staff insights and solutions for the client.
The ultimate aim of our product – Optisol Central Intelligence is to maximise the customer experience. Traditional human based Call Centres are notoriously complex, and prone to poor customer service. Optisol aim to turn the traditional Call Centre into an integrated solution that is fast and not cost prohibitive to implement. We do this through using Amazon Connect and other great Amazon technologies to provide a solution that automates most of your calls through ChatBots, having humans take small number of calls that the Bots can’t deal with. We then couple this with advanced AI/ML capabilities that combe through the data and derive insights and recommendations to better serve the clients.
Build a searchable knowledge graph and actionable insights
Involves semantic analysis of text data like documents, email, web chat, social media, surveys, customer forums etc. along with process of building a searchable knowledge graph and insights.
Powerful AI engine trained on reams of data to understand customer needs
Chatbots can be trained to interpret and answer a wide range of questions for enhancing data accuracy, domain specific and near human like cognition.
Amazon Connect is an easy to use omnichannel cloud contact center that helps companies provide superior customer service at a lower cost. Over 10 years ago, Amazon’s retail business needed a contact center that would give our customers personal, dynamic, and natural experiences.
TensorFlow is Google’s open source deep-learning platform to build Computer Vision based models to run in small, lower powered edge CPUs as well as cloud-based GPUs.
Amazon Lex provides the advanced deep learning functionalities of automatic speech recognition (ASR) for converting speech to text, and natural language understanding (NLU) to recognize the intent of the text, to enable you to build applications with highly engaging user experiences and lifelike conversational interactions.
AWS IoT Core can support billions of devices and trillions of messages, and can process and route those messages to AWS endpoints and to other devices reliably and securely. With AWS IoT Core, your applications can keep track of and communicate with all your devices, all the time, even when they aren’t connected.
Amazon SageMaker is a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly.
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. No machine learning experience required.
MQTT, the preferred light-weight protocol for data communication between IoT sensors, edge CPUs and servers works well on low-power IoT devices.