Categories: Engineering

Conversational AI at MindMeld

Karthik Raghunathan – Dive deeper into Cisco’s conversational AI platform for deep-domain voice interfaces and chatbots.

MindMeld and conversational AI

The MindMeld team is part of the Webex Intelligence team at Cisco, which develops machine learning-driven, intelligent experiences across Cisco Webex collaboration products.

Before our acquisition by Cisco in 2017, MindMeld was a San Francisco-based AI startup powering intelligent conversational interfaces for several companies in the food, retail, and media industries. Now, we’re bringing that same technology to Cisco’s products to make them smarter, more natural, and easier to use.

Webex Assistant and voice control

Last year we launched Webex Assistant, the first of its kind enterprise voice assistant for the meeting room. With Webex Assistant, customers can use their voice to control their Webex video conferencing devices, review the room’s calendar, join online meetings, call people in their company directory, and much more. While Webex Assistant had its origins as an intelligent assistant for the conference room, we greatly expanded its availability this year by bringing it to our widely popular Webex Meetings software. We also added support for a whole new set of in-meeting voice commands which allow users to create action items, take notes, and even set up future meetings, using just their voice.

Webex Assistant is powered by the MindMeld Conversational AI Platform. We developed this Python-based machine learning framework as a startup, and continue to maintain and improve upon it at Cisco. Teams across Cisco use the MindMeld platform for a wide variety of natural language applications such as chatbots, interactive voice response (IVR) systems, automated FAQ answering, and search. For instance, MindMeld is used for query parsing in both Cisco’s internal enterprise search and the external-facing website search on Cisco.com.

Open-sourced MindMeld conversational AI platform

Following the release of Webex Assistant, we open-sourced the MindMeld Conversational AI Platform. While it’s particularly easy to use MindMeld with other Cisco technologies like Webex, the platform itself is agnostic and can be used to build any kind of conversational interface. As a result, it is now used not only by internal teams at Cisco but also by the wider developer community to build production-quality chatbots and voice assistants.

Given its ease of use and flexibility, MindMeld has been a popular choice at several hackathons, including Cisco’s Smart Spaces Hackathon and the Government of India’s Smart India Hackathon. It was even featured in the winning team’s solution in the 2019 IoT World Hackathon.

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Learn More

To learn more about the MindMeld Conversational AI Platform, check out our website and GitHub repository.

You can also follow the MindMeld team’s blog on Medium where we share regular updates about new MindMeld features, best practices for building conversational interfaces, and other snippets from our ongoing research explorations.

About the author

Karthik Raghunathan is the Director of Machine Learning for Webex Intelligence, which is the team responsible for building machine learning-driven intelligent experiences across all of Cisco’s collaboration products. Karthik used to be the Director of Research at MindMeld, a leading AI company that powered conversational interfaces for some of the world’s largest retailers, media companies, government agencies, and automotive manufacturers. MindMeld was acquired by Cisco in May 2017. Karthik has more than 10 years of combined experience working at reputed academic and industry research labs on the problems of speech, natural language processing, and information retrieval. Prior to joining MindMeld, he was a Senior Scientist in the Microsoft AI & Research Group, where he worked on conversational interfaces such as the Cortana digital assistant and voice search on Bing and Xbox.

Karthik holds an MS in Computer Science with Distinction in Research in Natural Language Processing from Stanford University. He was co-advised by professors Daniel Jurafsky and Christopher Manning, and his graduate research focused on the problems of Coreference Resolution, Spoken Dialogue Systems, and Statistical Machine Translation. Karthik is a co-inventor on two US patents and has publications in leading AI conferences such as EMNLP, SIGIR, and AAAI.

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