This post talks about how we use machine learning and text-to-speech (TTS) to set reminders for users and how Amazon Polly helps us with that.
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Today, we are open-sourcing a part of our proprietary technology powering Haptik’s apps – Chatbot NER. Chatbot developers across the globe can use Chatbot NER straight-out-of-the-box to build intelligence into their chatbots.
On 17th June, we hosted an meet-up of Data-Scientists in collaboration with DataGiri in Mumbai to demonstrate and give a hands-on experience of one of the machine learning modules underlying Haptik’s chatbots – ChatBot NER.
Read the PostDataGiri Meetup: Machine Learning Event Roundup
We’ve just come home after hosting the nation’s very first Botathon, a hackathon for building conversational bots, in Bengaluru. A 2-day long event with 43 teams full of talented individuals competing to showcase their incredibly creative ideas of using a chat interface to empower their users – is exactly what we had wanted & expected and the Botathon didn’t disappoint!
This post is written by Nabendu Karmakar, Full Stack Engineer at Haptik. var yoJavascript = parseInt(‘Oops!’); if (yoJavascript == yoJavascript) {…
This post is written by Aniruddha Tammewar, Machine Learning Scientist at Haptik. Immediate response is what everyone expects from their…
This post is written by Sanchita Mishra, Sr. Software Quality Assurance Tester at Haptik. In the early days at Haptik…
Read the PostA Day In The Life of a Quality Analyst at Haptik
This post is written by Moses Gangipogu, DevOps Engineer at Haptik. Managing large development and production environments is a long…
This post is written by Viraj Anchan, Full Stack Engineer at Haptik. There’s an old saying that goes, “You only…
Read the PostHow Haptik Uses Autocorrect To Improve User Experience