PANDAI, A MALAY ADJECTIVE WHEN TRANSLATED TO ENGLISH REFERS TO: ADJECTIVE 1. SHOWING SKILL AND QUICK AT LEARNING AND UNDERSTANDING THINGS.
Headquarters Region : Asia-Pacific (APAC), Association of Southeast Asian Nations (ASEAN), Southeast Asia
Founded Date : Jul 2016
Operating Status : Active
Number of Employees : 1-10
The Art: Conversational UX
Conversational UX refers to the user experience that one has when interacting with an automated agent over chat interfaces. i.e. chatbots. Like a good human communicator, a good conversation UX is a combination of high quality substance (professional expertise), the choice of words, empathy with the audience, some doses of humor, and extensive A/B testing, amongst others. A good conversational UX design elicit Call-to-Action (CTA) that meets your business objectives.
The Science: Deep NLP
Deep NLP is the use of deep-learning algorithm for natural language processing, i.e. it attempts to learn multiple levels of representation, in this case, word representation, of increasing complexity or abstraction; and unlike traditional machine learning, it can do so without human intervention. Deep NLP works best when we could perform uniform parallel operations on dense vectors, which is at the core of what we do here. Pand.ai is a member of the NVIDIA Inception Program, which supports Deep Learning AI startups.
Natural Language Understanding
The core engine behind the AI engine is deep learning for Natural Language Processing (Deep NLP). Unlike traditional keyword-based approach, our engine is able to extract the semantics of the entire sentence through Pand.ai’s proprietary model. This technology allows grammatically imperfect messaging, including many internet lingo and slang words as well as hybrid or mixed languages that are pre v a lent in many parts of the world.
The embedded in-state memory retention technology enables the bot to remember what your customer says previously without needing them to always repeat. This makes conversation with the chatbot more intuitive and natural.
Chatbot typically have difficulty understanding complex requests that consist of multiple parts. Instead of doing multiple sequencing or rule based filtering, the Pand.ai chatbot is able to instantly parse and thus comprehend, on a more sophisticated level. This multi-dimensional capacity allows anyone to initiate complex queries within a sentence.
We pick up clues from all the interactions that your customers have with the chatbot, and automatically calculate the most appropriate content/message to serve each of them, individually.
Real-Time Analytics through Data Visualisation
Real time data visualisation are richly informative. Especially important and useful in a fast paced market or environment, it helps to put the magnitude of data into perspective.