Teneo takes a different approach to linguistic and machine learning. Its hybrid approach gives enterprises the muscle, flexibility and speed required to develop business-relevant AI applications in record time.
It’s a common misunderstanding that machine learning systems somehow work completely on their own, without human supervision. Nothing could be further from the truth.
Just as a linguistic-based conversational system requires humans to craft the rules and responses, a machine learning system requires humans to collect, select, and clean the training data.
Teneo overcomes these challenges by manipulating the data using a unique, patented hybrid approach. By combining the best of both linguistic and machine learning models at a native level, Teneo allows enterprises to quickly build conversational AI applications whatever their starting point – with or without data – and use real-life inputs to optimize the application from day one.
The backbone of the Teneo platform is a linguistic-based algorithm with the key ability to embed machine learning algorithms alongside. This is an advantage over purely machine learning systems, which function, as far as the developer is concerned, as a black-box that cannot work without large amounts of curated training data.
Teneo’s linguistic abilities allow for conversational systems to be built even without data and provide transparency in how the system operates. In addition, rules ensure that the system maintains a consistent and correct personality and behavior aligned with business aims.
Taking a hybrid approach gives some key advantages over purely machine learning systems.
A machine learning conversational system has no consistent personality, because the dialog answers are all amalgamated text fragments from different sources. From a business point of view, this misses the opportunity to position the company through identifiable brand values.
But the issue of a consistent personality is dwarfed by the problem of semantics. In a linguistic-based conversational system, enterprises can ensure that questions with the same meaning receive the same answer. A machine learning conversational system however might well fail to recognize similar questions phrased in different ways, even within the same conversation.
Teneo’s hybrid approach offers a unique simplifying benefit. The rules and the intelligence architecture behind the conversations can be directly integrated and maintained alongside each other in the same visual interface. This ensures that conversational AI applications properly understand the context of the conversation – every time.
Before Teneo, building conversational AI applications using traditional natural language methods was difficult, resource intensive and frequently prohibitively expensive. With Teneo, enterprises can rapidly develop business-relevant AI applications that can make a difference to the customer experience and the bottom line.
EXPLORE OUR FULL SET OF FEATURES
Teneo is packed with a set of technical features that allow developers and business users to create highly intelligent conversational AI applications in record time.
The brains behind your conversational AI application, the Teneo Engine can think for itself. It listens to and interprets what your customers are asking and applies sophisticated linguistic algorithms and advanced reasoning rules to figure out the most appropriate response.
Context comes into play here, such as time, date and place, or even information picked up from previous conversations, customer data retrieved from an external systems or pre-defined preferences held in a database.
Because changing or adding just one word can alter the meaning of a query, Teneo dynamically reassesses content as the interaction develops. It understands the subtle nuances of everyday conversation such as idiom and slang, even dialect and SMS shorthand – and it’s also sympathetic to grammar, syntax or spelling mistakes.
Able to deliver text or spoken responses to queries, Teneo can do many other actions at the same time.
It can open a webpage, fill out a form, complete transactions through back-end systems and update databases. It can carry out requests and actions by accessing information through a web service, performing on-device actions such as making a call, setting a calendar appointment or delivering a comprehensive answer to a service or sales query.
Teneo Engine can complete many thousands of simultaneous interactions, without any risk of systems crashing or freezing.