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Intelligent Virtual Assistants
- Conversational AI technology has evolved from being just a chatbot. Haptik has developed IVA (Intelligent Virtual Assistants) that contain deep domain knowledge, are trained to handle support queries and increase sales and are directed towards the goal to achieve higher business ROI.
cio.economictimes.indiatimes.com/news/corporate-news/with-100-mn-funding-haptik-founders-envision-1bn-monthly-conversations-on-ai-backed-iva/73004492With $100 Mn funding, Haptik’ founders envision 1Bn monthly ...
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Haptik has been a pioneer in Conversational AI since 2013. From conversational analytics, to use case specific AI, the Haptik IVA is truly best-in-class. Explained: How GPT-4o & Gemini 1.5 Transform Enterprise Applications with Real-Time Multimodality
- Advanced NLU
At the most prestigious EMNLP 2020 conference, Haptik bagged...
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- Advanced NLU
- Negations
- Disambiguation
- Vocal Disambiguation
- Spelling Mistakes & Slangs
- Paraphrases For Intents
- Intents with Minor Differences
- Out-Of-Scope Questions
- Understanding Long Sentences
- Retaining Context
Start an insurance claim vs. Don’t start an insurance claim In the above example, the meaning of the sentence has completely changed with the addition of a single word in a key place. Simple chatbots that use basic sentence similarity models can’t tell the difference between these two sentences. A chatbot, which has basic word matching, would not b...
Sometimes the content of the query sent by the user is simply not enough for the IVA to understand their intent. What would an actual person do in such a situation? They’d ask a question to clarify.That’s precisely what any good IVA should do. It should clear out the ambiguity around the query from the user.For instance, while interacting with an I...
Didn’t hear you correctly vs. Didn’t understand what you said As IVAs expand to the realm of voice, a lot of developers are trying to replicate the chat experience over voice-based platforms. This is a complex task for a number of reasons. While factors such as spelling mistakes are what affect the written word, on the voice you have different erro...
There can be multiple variations behind spelling mistakes and those variations in turn could lead to multiple intents or interpretations of the message.While a chatbot would throw the generic response based on the best match, an IVA would be equipped with an effectivespell correction model that would detect such mistakes. A well-designed IVA levera...
In our everyday language, we tend to express the same intents using a combination of multiple words.A good IVA should be able to detect the same intent using all possible combinations of words.For example, if the IVA is trained using the input “Show me internet plans?”, it should be able to answer “I need to know plans available for me”.
‘Show my internet plan’ vs. ‘show me internet plans’ The intents look very similar on the surface, but there is in fact a significant difference. In the first case, the user wants to check what his current plan is, as opposed to the second case, where the user wants to see all available plans. A good IVA would be able to detect the nuances between ...
A chatbot would normally match “Difference between Savings Account and an apple” to “Difference between Savings Account and Checking” This is because a simple sentence similarity check would consider them to be very close sentences, due to there being only a one-word difference. However, that one word difference completely changes the intent. An IV...
A lot of the time users tend to add extra historical information in the query which makes it difficult for a usual chatbot to understand. An IVA on the other hand has the ability to extract the relevant intent and entity from the message and ignore the information which is not required.
An IVA is able to retain context after a few messages are exchanged whereas a chatbot is not advanced to keep up with the information provided by the user in earlier messages. In the example below, the IVA is able to detect that the user is looking for a particular size. Read the report to learn about the evolution of Conversational AI technology f...
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Aug 26, 2022 · Steps are the interlinked building blocks of an IVA. Each step acts like a gatekeeper that detects user inputs, sends out appropriate responses and directs users to the next step . They are the points where conversation converges or diverges basis the information users input to the IVA.
Intelligent Virtual Assistant (IVA) helps businesses automate their support. User queries are answered by these virtual assistants powered by NLU and Machine Learning. By being always available and providing a faster resolution to the users, these virtual assistants drive value for our business.
Feb 4, 2022 · Introduction to Haptik's Intelligent Analytics. Written by Medha Anand. Updated on February 4th, 2022. Getting Started. Bot Building. Smart Agent Chat. Conversation Design. Developer Guides. Deployment. External Agent Tool Setup. Analytics & Reporting. Notifications. Commerce Plus. Troubleshooting Guides. Release Notes. + More. Introduction.
All things About Haptik: the founders and Leadership Team, and accolades. Explained: How GPT-4o & Gemini 1.5 Transform Enterprise Applications with Real-Time Multimodality [Case Study] How Beauty Brand Tira Boosts Conversational Purchase Support with Gen AI
Jan 10, 2020 · Since one of the primary objectives of deploying an Intelligent Virtual Assistant (IVA) solution is to enhance customer experience (CX) for enterprises, it is crucial to ensure that IVAs are equipped with the capabilities to deliver on that goal.
