One of the most common use cases of applied AI is in the form of conversational AI or intelligent AI assistants used primarily to facilitate enterprises to serve their customers at scale more efficiently and through support from the call center. Conversational AI and intelligent AI assistants are being leveraged by organizations across the board in the form of text chatbots, and voice assistants which use NLP/NLU to look beyond rules to truly understand intent, carry out a multi-turn conversation while retaining context and deliver a great user experience. Companies have made several recent advances in terms of leveraging big data to deliver highly personalized and relevant content and integrating all their systems to ensure a seamless and delightful experience for the user.
As conversational AI advances and AI assistants become more and more intelligent and human-like, we will discuss how we can analyze, train and sensitize AI natural language to make it explainable, fair, and free of gender and racial stereotypes and biases. We will learn about case studies from finance, manufacturing, healthcare, retail, and security that deal with AI applications such as financial robo-advisors, personal healthcare assistants, personalized voice-enabled retail shopping assistants, security strategies to make hacker-proof virtual assistants, and more. Hear from industry-leading practitioners and luminaries who will talk about their journeys and learnings in implementing these technologies, how they unlocked value/ROI from them, and their thoughts about what the future holds.