In today’s fast-paced business environment, time is a valuable resource. Yet, many employees find themselves bogged down by mundane tasks that hinder their ability to focus on more strategic work. Xembly, an AI-powered platform, seeks to address this challenge by automating group tasks and streamlining collaboration processes.

In this episode, we interview Jason Flaks, co-founder of Xembly, about the role of AI in automating mundane tasks for knowledge workers. Jason shares his nontraditional path into the world of AI, starting as a musician and transitioning to software engineering. He discusses the pain points Xembly aims to solve, such as group collaboration tasks like scheduling meetings and taking meeting notes. Jason explains the special sauce of AI in solving these problems more efficiently and highlights the differentiation of Xembly from other tools in the market. He also dives into the various AI components involved in Xembly’s solution, including conversational understanding, planning, negotiation, and distribution of information.

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Founder Bio:

Jason is presently serving as the Co-founder and Chief Technology Officer at Xembly, where he leverages years of expertise in adeptly crafting software products rooted in cutting-edge technologies such as Artificial Intelligence, Machine Learning, Virtual and Augmented Reality, Speech Recognition, Audio Signal Processing, and Streaming Media. As a founding member of both the Microsoft Xbox Kinect and HoloLens teams, he played a pivotal role in groundbreaking innovations, notably contributing as the primary inventor of open microphone, no push-to-talk speech recognition. With a remarkable portfolio boasting 40+ patents in conversational AI and natural language innovations, Jason brings a wealth of knowledge to the tech industry. He holds a Master's degree in Engineering from the University of Miami.

Time Stamps:

01:48 Introduction and background of Jason Flaks 08:17 Pain points that lead to creating Xembly 14:00 How Calendly works well in a lopsided marketplace but not in an organization 18:26 The focus on solving the end-to-end lifecycle problem 22:43 Differentiating between AI and language models 24:20 AI challenges in identifying speakers in a room 26:19 Challenges of building a dialogue system for group negotiations 29:30 Importance of planning, negotiation, and decision-making in AI systems 31:50 Hiring resources for AI product development 35:40 Importance of expertise in conversational AI for feature generation 38:41 Benefits of domain expertise in building AI systems 40:04 Getting the right person for the right job 44:06 What new updates can we expect from Xembly in 2024 47:24 How to get in contact with the Xembly Team

Resources

Company website: https://www.xembly.com/ Twitter: https://twitter.com/MeetXembly LinkedIn: https://www.linkedin.com/company/xembly/ Instagram: https://www.instagram.com/meetxembly/