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PRO WORKSHOP: Deep Understanding Applied to Open Domain Conversations

Surbhi Rathore, CEO and co-founder

Surbhi is the CEO and Co-founder of Symbl is bringing to life her vision for a programmable platform that empowers developers and businesses to build unique conversational experiences without the hassle of upfront training or building their in-house data science expertise. She co-founded Symbl almost 2 years ago, backed by Amazon and a Techstars alum. Symbl raised an early-stage venture round of $6.5M and deployed capital to grow a team of tech enthusiasts to 30 people primarily distributed between India and Seattle. She comes with experience from technical and customer-obsessed roles in both startups and enterprises such as Nevis Networks and Amdocs. Before co-founding Symbl, she worked in the Conversational AI space with a focus on delivering value to Telecommunication users. She is an advocate for Women in AI with a personal mission to inspire more women to work in Data Science. In her free time, she loves to travel and spend time with her remote and distributed family.

Now more than ever, when the whole world is communicating on digital channels, the dangers of disconnected data silos and lost knowledge are more than ever. In this session, we will talk about applying deep understanding to capturing this open domain conversation data so that builders can strategize product strategy early in the lifecycle of their business and future-proof growth. The session also entails several aspects of supervised and unsupervised learning that can be used as stepping stones to this application and how combining both these techniques bring the best of both worlds together for human-like comprehension of conversations.